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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ESSD</journal-id><journal-title-group>
    <journal-title>Earth System Science Data</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ESSD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1866-3516</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/essd-13-5071-2021</article-id><title-group><article-title>The dataset of walled cities and urban extent in<?xmltex \hack{\break}?> late imperial China in the
15th–19th centuries</article-title><alt-title>The dataset of walled cities and urban extent in late imperial China</alt-title>
      </title-group><?xmltex \runningtitle{The dataset of walled cities and urban extent in late imperial China}?><?xmltex \runningauthor{Q. Xue et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Xue</surname><given-names>Qiaofeng</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Jin</surname><given-names>Xiaobin</given-names></name>
          <email>jinxb@nju.edu.cn</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Cheng</surname><given-names>Yinong</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Yang</surname><given-names>Xuhong</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Zhou</surname><given-names>Yinkang</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>School of Geography and Ocean Science, Nanjing University, Nanjing
210023, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>College of History and Archives, Yunnan University, Kunming 650091,
China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Xiaobin Jin (jinxb@nju.edu.cn)</corresp></author-notes><pub-date><day>3</day><month>November</month><year>2021</year></pub-date>
      
      <volume>13</volume>
      <issue>11</issue>
      <fpage>5071</fpage><lpage>5085</lpage>
      <history>
        <date date-type="received"><day>25</day><month>February</month><year>2021</year></date>
           <date date-type="rev-request"><day>18</day><month>May</month><year>2021</year></date>
           <date date-type="rev-recd"><day>3</day><month>October</month><year>2021</year></date>
           <date date-type="accepted"><day>4</day><month>October</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 Qiaofeng Xue et al.</copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021.html">This article is available from https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021.html</self-uri><self-uri xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e126">Long-term urban extent data are highly desirable for understanding
urban land use patterns. However, urban observation data based on remote
sensing are typically confined to recent decades. In this study, we advance
in this arena by reconstructing the walled cities for China that extend
from the 15th century to the 19th century based on multiple historical
documents. Cities in late imperial China (the Ming and the Qing dynasties,
1368–1911) generally had city walls, and these walls were usually built
around the built-up urban area. By restoring the extent of the city walls, it
is helpful to explore the urban extent in this period. Firstly, we collected
the years of construction or reconstruction of city walls from the
historical data. Specifically, the period in which the size of the city
wall remains unchanged is recorded as a lifetime of it. Secondly,
a specialization on the extent of the city wall could be conducted based on the
urban morphology method and a variety of documentation, including the
historical literature materials, the military topographic maps of the first
half of the 20th century, and the remote sensing images of the 1970s.
The correlation and integration of the lifetime and the spatial data
led to the creation of the China City Wall Areas Dataset (CCWAD) for the late imperial period. Based on the
proximity to the time of most of the city walls, we selected six
representative years (i.e., 1400, 1537, 1648, 1708, 1787, and 1866) from
CCWAD to produce the China Urban Extent Dataset (CUED) for the
15th–19th centuries. These datasets are available at <ext-link xlink:href="https://doi.org/10.6084/m9.figshare.14112968.v3" ext-link-type="DOI">10.6084/m9.figshare.14112968.v3</ext-link> (Xue et al., 2021).</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e141">As cities are one of the most obvious phenomena on the Earth's surface arising
from human activities, human productivity has increased significantly since
the industrial revolution, which has led to the expansion of population and
the acceleration of urbanization (Mumford, 1968; Sanchez-Rodriguez et al.,
2005). The rapidly expanding built-up urban area has serious impacts on
regional and global changes by modifying the characteristics of the
underlying surface while exacerbating human activities such as fossil fuel
combustion (Seto et al., 2012; Rodriguez et al., 2018). With complex
interactions happening in global environmental changes, the evolution of
urban scale and spatial distribution is an important part of global change
research (Solecki et al., 2013; Seto and Ramankutty, 2016; Goldewijk et al.,
2017; Bai et al., 2018; Kuang et al., 2021). Long-term data on historical
urbanization trends and patterns will be conducive to contextualize the
current urbanization, as well as to predict future trajectories of its
process. In particularly, China has a history of urban construction for
thousands of years, and it is also one of the countries with a relatively
fast urbanization process in the world today (Gong et al., 2019; Liu et al.,
2020). However, China's industrial revolution did not start until the end of
the 19th century, while the pattern of cities in late imperial China in
the Ming and Qing dynasties (1368–1911) laid the foundation for Chinese
cities in modern time (Skinner, 1977).</p>
      <p id="d1e144">The data used for the study in the historical period must take into account
the availability and integrity even though there are many methods and
indicators to assess the level of urbanization. The widely used data are the
statistical material about the population and area of cities for the<?pagebreak page5072?> study
of urbanization before the industrial revolution (Doxiadis, 1970).
Significantly, population is an effective indicator of the level of
urbanization for most current studies to estimate the historical
urbanization levels (Chandler, 1987; Reba et al., 2016; Leyk et al., 2020).
However, in the case of late imperial China, population is not fully
applicable to the study of China's urbanization during the Ming and Qing
dynasties for obvious limitations of and flaws in the data when the data on urban
population usually originated from the regional level which included
cities; thus few separate statistical data on the number of urban residents
could be found, although the official demographics of China during this
period were detailed and generally credible (Ho, 1959; Perkins, 1969; Cao,
2001a). For example, William Skinner (1977) used population as the key
indicator to measure the urbanization of China in the 19th century.
However, since China did not have reliable urban population data (UPD) until 1953,
Skinner had to work backward in time, extrapolating better, more recent data
to somewhat earlier dates and building up a consistent time series
culminating in the fairly hard data for 1953. Skinner selected 1893 as the
representative year and created a comprehensive file of over 2500 data
cards designed to cover every city and town. Based on this database of more
than 150 attributes (mainly including administrative level, circumference of
city wall, postal status, population estimates, trade statistics, and
steamship or rail traffic), cities were classified. Then he defined the
urban population class intervals so that the upper boundary of each class was
twice the lower boundary, and the following series was used: 1000, 2000,
4000, 8000, 16 000, 32 000, and so on. Finally, Skinner estimated the
urbanization process of China in the 19th century. It is acceptable to
use data of the 1950s to study the urbanization in the 19th century,
but for longer-term research, the credibility and operability of this
approach will be greatly reduced. In summary, the flaws in the original
materials have led to a great controversy over the different versions of
estimates on Chinese urban population during this period (Li, 1997;
Cao, 2000; Cao, 2001b).</p>
      <p id="d1e147">Another way to explore the urbanization process in the historical period is
the restoration of the urban extents or the built-up areas of cities (He et al.,
2002; Hedefalk et al., 2017; Lin et al., 2017; Qin et al., 2019; Uhl et
al., 2021). However, before the popularization of scientific cartography in
the 20th century, maps in China generally lacked the basis of surveying
and mapping (Yee et al., 1994; Cheng, 2019) and could not be used to
restore the built-up urban areas in the late imperial period precisely. In
addition, there was a lack of statistical data on urban area in late
imperial China. Therefore, researchers generally use alternatives to
represent the built-up areas of Chinese cities in the late imperial period, and
one of the most commonly used indicators is the extent of city walls
(Skinner, 1977; He et al., 2002; Qin et al., 2019).</p>
      <p id="d1e150">How can the extent of a city wall represent the urban extent? Here we must
begin by attempting to summarize the city wall building history that existed
in imperial China. The city wall is considered to be one of the basic
symbols of ancient Chinese cities (Chang, 1986). But to be specific, cities
in China were not always walled. In addition, the characteristics of city
walls in different eras were not the same. During the 3rd to 10th
centuries, small cities in China generally had no walls. Even regional
capital cities only built small-scale city walls called <italic>Zi-cheng</italic> (<italic>Zi</italic> means small and
<italic>Cheng</italic> means city wall). The <italic>Zi-cheng</italic> was built around the government and military
barracks, just like castles in medieval Europe. Residential areas, markets,
schools, and religious buildings were all outside the <italic>Zi-cheng</italic> (Lu, 2011). From the
10th to 13th centuries, there were some large-scale city walls
built around residential areas, but they were generally confined to a few
important cities. During the Mongolian-ruled Yuan Dynasty (13–14th
centuries), many city walls were deliberately torn down. Only in the Ming
and the Qing dynasties (14–19th centuries) did cities generally build
large-scale walls to protect governments, temples, granaries, residences,
and certain natural resources against invasion, tribal uprising, and peasant
rebellion. According to many previous studies (Chang, 1970; Kostof, 1992;
Knapp, 2000), city walls in this period were usually slightly larger than
the built-up area of the city, and as the suburban areas grew, new and
larger city walls were often built. Thus, the city wall in the Ming and Qing
periods could be regarded as the urban fixation line which reflected the
extent of the city. On the other hand, the Ming period and the first century
of the Qing witnessed the extensive construction of city walls. A total of 80 % of
cities in China had walls in the 15th century, and in the 16th
century, 95 % of cities were walled (see the details in Sect. 5 below).
Through the study of the extent of the city wall, it will help us to
reconstruct the urban extent in late imperial China in the 15–19th
centuries.</p>
      <p id="d1e169">Historical materials in the Ming and the Qing dynasties in China recorded
the length and construction time of the city wall of each administrative
city above the county level in detail, which provided reliable information
for restoring the scale of the city walls. Researchers have estimated the
built-up area of Chinese cities in the late imperial period by converting the
perimeter of the city wall into the area of the city wall (Skinner, 1977; He
et al., 2002; Cheng, 2007). However, due to the shape of the city, walls were
often irregular, and their construction years were different from each other;
the mentioned built-up urban area estimation often produces large errors. In
addition, the differences between the extent of the city wall and the built-up urban area
have not been much discussed. There is still a lack of city wall and urban
extent datasets with high resolution and definite age for late imperial
China.</p>
      <p id="d1e172">The aim of this project was to collect multiple historical data sources related to
the city walls of late imperial China, digitize them, and make the China City Wall
Areas Dataset (CCWAD) and China Urban Extent Dataset (CUED) for the late imperial period
in the 15th–19th centuries. We used a similar method to produce a
dataset of urban extent<?pagebreak page5073?> areas in Northwest China in the Ming and the Qing
dynasties (Xue et al., 2018), and in this new database, we improved the
research methods and extended the study area across China. Firstly, based on
the historical urban morphology theory (Conzen, 1969), we restored the extent
and construction time of walls of each administrative city in the Ming
(1368–1643) and the Qing (1644–1911) dynasties and made the CCWAD product.
Then, we analyzed the years and sites of the construction of the city walls,
and we found six representative years that could illustrate the general
level of urban extent in China of this period. Based on this strategy, we
developed the product of the CUED for 1400, 1537, 1648, 1708, 1787,
and 1866 across China. These datasets provide a foundation for understanding
cities in the traditional agricultural society, and they will also be
helpful in current and future research and practices in urban environmental
and cultural sustainability.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Study area</title>
      <p id="d1e183">This research is aimed at the cities in China in the 15th–19th centuries.
The definition of a city is the same as the general research practice of ancient
Chinese cities, namely administrative cities, including <italic>county</italic>, <italic>Zhou</italic>, <italic>Fu</italic>, and <italic>Ting</italic>. In
addition, the military cities of the Ming Dynasty, <italic>Wei</italic> and <italic>Suo</italic>, and the <italic>Eight Banner cities of Manchu</italic> of the
Qing Dynasty were added.</p>
      <p id="d1e208">The research period consisted of the Ming and the Qing dynasties, and there
were some differences in the territory of the two dynasties. In order to
explore the temporal and spatial characteristics of late imperial China's
urban extent, the study area is divided into five sub-regions based on
landform types, local socioeconomic history, and ethnic distribution, as
shown in Fig. 1. (I) Northeast China mainly covers the area to the
east of Daxing'anling mountain and the north of the Great Wall of the Ming
Dynasty. This region was sparsely populated until the influx of large
numbers of immigrants in the 18th–19th century, and a number of
cities were established at the end of the 19th century and the beginning of
the 20th century. (II) Inner Mongolia was to the north of the Great
Wall and was inhabited by Mongolian herdsmen in the 15th–19th
centuries. (III) The traditional agricultural area was densely populated, with
many cities and a long history. (IV) Xinjiang was located in the continental
interior, and the population was concentrated in oases. It became the
territory of the Qing Dynasty after the mid-18th century. (V) Qinghai–Tibet Plateau is mainly located on the Qinghai–Tibet Plateau, which
is the highest-elevation plateau in the world. There were some historic
cities on the edge of the plateau, but the administrative cities within it
were established very late.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e213">Cities in the Ming and Qing dynasties (1368–1911). The study area
is divided into five natural sub-regions: Region I, Northeast China; Region II, Inner Mongolia; Region III, traditional agricultural area; Region IV,
Xinjiang; Region V, Qinghai–Tibet Plateau.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f01.png"/>

      </fig>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Data sources</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>City wall records in historical literature</title>
      <p id="d1e239">There were detailed and systematic records of city walls in Chinese
historical literature, such as the <italic>Book Integration of Ancient and Modern Times</italic> (edited in 1701–1728), <italic>Unified Records of the Qing Dynasty</italic> (edited in
1842), and more than 3000 local chronicles edited before 1949 all over China.
There was a tradition of compiling local chronicles in the Ming and Qing dynasties. Most of
the literature was compiled by local governments, and the city wall, as
an important achievement, had been paid much attention. These records
detailed the construction and transformation of local city walls, such as
their construction time, scale, and form (see Fig. 2), and the <italic>Book Integration of Ancient and Modern Times</italic> and
<italic>Unified Records of the Qing Dynasty</italic> were collections of local chronicles. The historians in our research team have systematically
collated and studied this literature and compiled a series of data
compilations (Cheng, 2016a, b, c), and the historical literature of
this study was from these data compilations.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e256">The image of the record of the city wall in a local chronicle of the 17th
century (<italic>Kang-Xi Changshu county's Chronicle</italic>). (a) City's name: Changshu (Jiangsu Province). (b) Chapter name:
city wall and moat. (c) Year the city wall was built: the 16th year of
<italic>Zhizheng</italic> in the Yuan Dynasty (1356 CE). (d) The perimeter of the wall: around 4.6 km (actual about 5.44 km).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Old maps and remote sensing images</title>
      <p id="d1e279">Spatialization of the text of historical data was the next step to make this
database. Most of the city walls of Chinese cities were demolished after
1949, which made it impossible for us to spatialize them directly on today's
map. Fortunately, the 1 : 25 000, 1 : 50 000, and 1 : 100 000 military
topographic maps produced by the bureau of surveying and mapping of the
Republic of China (1912–1949) and the Japanese army in the 1910s to 1930s drew the
location of the city walls, making it easier to restore these walls on
modern maps (Fig. 3a). These topographic maps were mainly plotted in the
periods of 1916–1925 and 1930–1939, and they are mainly collected in Taiwan
and Japan at present (Jiang, 2017). More than 60 000 digitalized
maps covering 25 provinces in China can be viewed online on various
websites, and an integrated query system has been launched (<uri>http://map.rchss.sinica.edu.tw/</uri>, last access: 4 September 2019).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e287">Maps and remote sensing images that show the city wall and
associated relics of Changshu, Jiangsu Province. <bold>(a)</bold> The 1 : 50 000 military
topographic map made in 1928. The jagged line on the map represents the
city wall, and the double line represents the river. <bold>(b)</bold> The 1970s CORONA
photograph from USGS. <bold>(c)</bold> The remaining city walls (tagged as red line) and
moats (tagged as blue line) are still clearly visible. The map is based on
© Google Earth image, 2018. <bold>(d)</bold> According to the remains of the
city walls and the moat, the extent of the city wall is drawn (yellow area).
The map is based on © Google Earth image, 2018.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f03.png"/>

        </fig>

      <p id="d1e308">In addition, we also need some remote sensing images for auxiliary work, and
the CORONA photographs are the most important. CORONA is a satellite
deployed by the United States in 1958, and it took remote sensing images
covering the world from 1960 to 1972. Now the CORONA photographs have been
decrypted and can be downloaded from the USGS website (<uri>https://earthexplorer.usgs.gov/</uri>, last access: 1 February 2018). Before the 1980s, the cities of the Chinese
mainland had not started large-scale expansion, and the ancient relics can
be clearly identified from these remote sensing images; the modern
remote sensing images are obtained from Google Earth.</p><?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page5074?><sec id="Ch1.S3.SS3">
  <label>3.3</label><title>City sites and their lifetime</title>
      <p id="d1e323">We need to obtain information on cities in China during the study period,
including where they were located, what time they appeared, and when they
disappeared. As mentioned above, the research object was the administrative
city. If a site was chosen as a local administrative center, it was
regarded as the birth of a new city; if all the administrative agencies
mentioned above were abandoned or moved, then it was regarded as an
abandoned city; and the period between them was called the city's lifetime.
Most of the city's lifetime information can be obtained from the China
Historical Geographic Information System (CHGIS, Version 6, 2016; available
at <uri>https://dataverse.harvard.edu/dataverse/chgis_v6/</uri>, last access: 2 October 2019). In addition, we supplemented and corrected some missing and mistaken
data of CHGIS based on the <italic>Historical Atlas of China</italic> (Tan, 1982) and <italic>General History of Administrative Regions in China</italic> (Zhou,
2007–2016; Guo and Jin, 2007; Fu et al., 2013). Through the above work, the city site point layer of the Ming
and Qing dynasties could be obtained, as well as the time records of when they were set
up or abandoned, including 2560 lifetime records for 2376 city sites in
total (Fig. 1), functioning as the basis for the next step to make the
CCWAD and the CUED products.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>The strategy of developing the CCWAD product</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>The historical urban morphology theory</title>
      <p id="d1e351">The historical urban morphology theory was proposed by British architect
Michael Conzen, emphasizing the<?pagebreak page5075?> importance on studying the urban plan
pattern from the perspective of morphology (Conzen, 1969). It was believed
that the urban plan pattern was a complex record of the development of urban
form, which retained the residual characteristics of each stage of its
development process. Therefore, based on the evolutionary perspective, it is
a worthwhile analysis method to study and reveal the potential history from
the existing planning pattern. The urban morphology theory focuses on
large-scale city maps, combined with field research and literature analysis,
to analyze the urban plane pattern based on the perspective of evolution,
and it is interpreted as three elements: the street and its layout in the
street system; the burgage and its agglomeration in the block; and block plan of
a building. The city walls are generally considered as an important
“fixation line” that has the role of defining the static edge of the city
(Conzen, 1969).</p>
      <p id="d1e354">Conzen (1969) also put forward a series of basic concepts to describe the urban
form and its evolution phenomenon, which is of great significance to the
study of urban historical form in China (Li and Wu, 1992; Zhong, 2015; Lai,
2019). Chinese researchers often combine historical text data and old maps
to fix the lack of systematic ancient cadastral records. The main elements
of the urban flat pattern are appropriately adjusted to aggregate streets, water systems and bridges, city walls, moats, government
offices, and temples for analysis. Thus, a relatively clear urban plan
pattern was obtained for several time sections in the pre-industrialization
period. The production of our database does not involve the restoration of
streets and buildings but focuses on the restoration of the location of the
city walls, thus reducing the practical difficulty and the requirements
for the quality of the original materials. With the historical urban
morphology theory, it is not difficult to restore the location of city walls
in late imperial China by combining historical literature data, old maps, and
remote sensing images with some necessary field investigations, thus helping us
to understand the urban extent of this period in China.</p>
      <p id="d1e357">Figure 4 provides a schematic overview of dataset construction and is
referred to throughout the methods section to clarify the dataset
development process.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e363">A flowchart of the methodology used to generate the China City
Wall Areas Dataset (CCWAD) and China Urban Extent Dataset (CUED) for
the 15th–19th centuries in late imperial China.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f04.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Restoration of the extent of the city walls</title>
      <p id="d1e380">Sorting out the city wall records in historical records and tabulating them
by Microsoft Excel involved much work on filtering the city wall information
in the historical literature data since it is lengthy, messy, and mixed with
many literary descriptions. Moreover, the perimeter of the city walls
recorded is often not accurate and can only be used as a reference.
Therefore, the focus is on extracting information about construction time and
reconstruction time. The literary descriptions of city walls in the
historical records were helpful for the interpretation of remote sensing
images and were retained for reference.</p>
      <p id="d1e383">We georeferenced and digitized the military topographic maps and the 1970s
remote sensing images. In the georeferencing process, we used modern
topographic web maps and Google Earth to identify common points in the
historic maps and the CORONA photographs, such as temples, city gates, city
walls, drum towers, and crossroads. Using all of the above processed
materials, we are able to identify the location of city wall ruins, or
other associated ruins, in Google Earth. Then, according to the literary
description in historical records, the correspondence between the text
records and the identified ruins are judged, thereby identifying the time of
the ruins.</p>
      <p id="d1e386">Although most of the city walls of Chinese cities were demolished after
1949, there were still many associated relics, such as the moat parallel to
the city wall or a ring road built after the city wall was demolished; the radial spread of multiple roads often implies the location of
the city gate. These associated relics could be investigated from remote
sensing images of the 1970s and even in modern remote sensing images (e.g.,
see Fig. 3b, c, d). For example, Figs. 5 and 6 show the extent of the city
walls of several famous Chinese cities from 1368 to 1911, and the red lines
in these figures are the location of city walls presented in the dataset.
The eight cities shown in Fig. 5 did not change the extent of the city
walls<?pagebreak page5076?> during the period, while the six cities in Fig. 6 changed to varying
degrees. Among these cities, Nanjing in Fig. 5 and Xi'an (1368–1642) in
Fig. 6 retain relatively complete city walls today, so it is not
difficult to restore their extent in the remote sensing images. Chengdu,
Hangzhou, and Suzhou in Fig. 5 retain their city moats, so their city
walls were located inside the moats. Shanghai and Kunming in Fig. 5 and
Beijing, Shenyang, Tianjin (1369–1860), and Urumqi in Fig. 6 demolished
their city walls and built ring roads on their old sites – for example the
“Second Ring Road” in Beijing and the “Renmin Road” in Shanghai – so
their city wall positions overlap with these ring roads. The extents of city
walls in other cities were verified through various ground markers and local
chronicles. In cities where the extent of the city walls changed, most of the
newly built walls were located outside the old city gates (e.g., Xi'an,
Lanzhou) or around the old cities (e.g., Shenyang, Tianjin). This was to
protect the newly built-up urban areas. There were also cities that built a
new city wall far from the old city (e.g., Urumqi).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e392">Several extents of city walls of Chinese cities from 1368 to 1911.
The red aerials are from the China City Wall Areas Dataset (CCWAD) which
illustrate the location of city walls. These maps are based on © Google Earth image, 2020.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f05.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e403">Several extents of city walls of Chinese cities from 1368 to 1911.
The red aerials are from the China City Wall Areas Dataset (CCWAD) which
illustrate the location of city walls. These maps are based on © Google Earth image, 2020.</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f06.png"/>

        </fig>

      <p id="d1e412">Target geographic objects, such as city walls, city gates, moats, and ring
roads built after the city walls were demolished, were digitized as temporal
snapshots from the maps. The georeferencing and digitalization steps were
performed by using ArcGIS 10.3 for Desktop (<uri>http://www.esri.com/software/arcgis/arcgis-for-desktop/</uri>, last access: 20 February 2021). The next
step is to generate layers in .kml format in Google Earth, marking their
corresponding lifetime, and then use ArcGIS Desktop 10.3 to covert .kml
layers into .shp format. The .shp layers are associated with the Excel table
that previously saved the local chronicles data, thereby generating the .shp
layer of the extent of the city wall area with spatiotemporal attributes.</p>
      <p id="d1e418">This section shows the process of making the CCWAD product during the Ming
and Qing dynasties. Users can query and obtain the nationwide city wall
area data for any year during 1368 to 1911 with GIS software from this
dataset.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>The urban extent data with the CUED product</title>
      <p id="d1e431">Now we attempt to extract urban extent data from CCWAD. It must be
emphasized that although city walls could be a helpful indicator for
representing the extent of cities, there are always gaps and delays in
both definitions and spatiotemporal changes between the city walls and urban
extents. The city wall was a functional building with high cost, and it
would be built only when it was of vital importance to military and economic
defense. Therefore, the extent of the city wall must be adapted to the
physical boundaries of the built-up urban area at that time. However, the
urban extent would not remain unchanged forever; it would change accordingly
with the increase or decrease in urban residents. In contrast, after the
city walls were built, the extent of the city walls generally did not change
with the built-up areas over time. The overflowing population would build
contiguous settlements outside the wall, especially during
peaceful and prosperous periods. During these periods, the extent of city
walls could not be consistent with the urban land use. In addition, the urban
boundaries before the construction of the city wall were practically
unknown. Finally, some special cities, such as those established in the
northeast of China at the end of the Qing Dynasty and some urban
concessions (such as the Shanghai concession) established by foreigners in
the 19th century, often did not build city walls.</p>
      <p id="d1e434">After considering the relationship between the size of the city wall and
the urban extent, we think that the city wall<?pagebreak page5077?> could be regarded as the urban
boundary at least during the period when the city wall exerts its functional
role, and the closer the time to the construction of the city wall is, the more
consistent the size of city walls and the urban extent is. Therefore, as long
as the appropriate periods were selected, the extent of city walls in these
periods could be very approximately regarded as the urban extent. In
small-scale studies, users can refer to the above principles to select
proper data from CCWAD and regard the size of city walls as the urban
extents.</p>
      <p id="d1e437">CCWAD may enough to satisfy the demand of local and case studies. However,
long-term and large-scale urban extent data are highly desirable for urban
studies. Since city wall can be regarded as a helpful indicator of the
extent of cities, we hope to provide an acceptable national-scale urban
extent dataset based on the CCWAD. This is the China<?pagebreak page5078?> Urban Extent Dataset
(CUED). To make CUED, it is necessary to extract some suitable
representative years from CCWAD to make the dates of city boundaries be in close
proximity to the time that most of the city walls were built. This requires
statistics and analysis of the city walls' area, the number of walled
cities, and the total number of all cities.</p>
      <p id="d1e440">We plotted the time series of the number of city walls built (Fig. 7b), the
total number of cities (Fig. 7d), the total number of cities that built the
city wall (Fig. 7e), and the percentage of the total number of cities (Fig. 7c). It can be seen in Fig. 7b that there were some connections between
the number of wall constructions and the area of the extent of the walls. The
periods of more construction were often of faster area growth, and the periods of less construction were always of area decline or unchanged. In 1368,
there were 1375 cities in China, of which 851 had city walls, accounting
for only 62 % of the total (Fig. 7c, d, e). However, in the year 1393,
70 % of cities had city walls; in 1469 it reached 80 %, in 1540 it was
90 %, and in 1576 it was 95 %. Since then, even though the number of
cities fluctuated to a considerable extent, the proportion of cities with
walls to the total cities remained stable between 95 % and 97 % for a
long time. But after 1868, this percentage began to decline, and after 1900
it dropped sharply.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e446">Time series of cities and city walls in the Ming and Qing
dynasties (1368–1911). <bold>(a)</bold> The time series of the area of the extent of city
walls. <bold>(b)</bold> The number of city walls built. <bold>(c)</bold> Walled cities' percentage of
the total number of cities. <bold>(d)</bold> The total number of cities. <bold>(e)</bold> The total
number of walled cities.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f07.png"/>

      </fig>

      <p id="d1e470">According to the above facts, we selected six base years when the area of
the city wall extent was closest to the urban boundary from the six time
periods (i.e., 1368–1404, 1405–1564, 1565–1662, 1663–1727, 1728–1860, and
1861–1911) to produce the CUED product for the 15th–19th centuries.
The selection criteria for the representative years are as follows. Firstly,
the proportion of cities with walls to the total cities should be higher.
The proportion should generally be more than 90 %, except in the 14th
and early 15th centuries. Secondly, after the city walls were built,
the extent of the city walls generally did not change with the built-up areas
over time, so the representative years should be within only 1 or 2 years after the end of a large-scale construction activities of the city
wall period. In addition, the representative year should be selected at a
moderate level of changes in the extent of the city wall within the period.
Finally, the representative year should avoid major political and military
events and severe natural disasters in order to reflect the general level of
urban development in that period.</p>
      <p id="d1e473">Therefore, we selected 1400, 1537, 1648, 1708, 1787, and 1866 from CCWAD as
the representative years to develop the CUED product for the 15th–19th
centuries. In these representative years, the extent of city walls and the
urban extent were relatively close at the national level. CUED provides the
long-term and national-scale urban extent data.</p>
</sec>
<sec id="Ch1.S6">
  <label>6</label><title>The accuracy of the CCWAD and CUED</title>
<sec id="Ch1.S6.SS1">
  <label>6.1</label><title>Accuracy ranking system of the CCWAD and CUED</title>
      <p id="d1e491">Due to the differences in data richness and existing relics in various
cities, the accuracy of the extent of city walls would also be different.
Reliability is a necessary factor to allow researchers and data users to be
aware of the accuracy of the data and the subsequent analytical results. So
we established an accuracy ranking system for the entire dataset to test
consistency. The accuracy ranking is based on the reliability of restored
results. It consists of three accuracy levels, A, B, and C, and two special
case marks, D and BW. The accuracy ranking A indicates that the authors are
quite certain about the restored result, the B indicates that part of the
restoration is speculative, and the C means that the restoration is entirely
based on supposition. The accuracy ranking mainly depends on the richness
of the city's historical documents and the integrity of the ground remains.
But the accuracy levels are basically subjective decisions of the authors.
In addition, the D indicates that the city has never been walled, so its
urban extent is entirely speculative. Those of rank BW indicate that
the city did not build a city wall during this lifetime, but it was built
later (next lifetime). It expresses the speculation of the urban extent
before the city built its original city wall. The hypothetical results of C,
D, and BW were based on the city's limited historical documents and physical
remains, its administrative level, and the size of the nearby cities.
All the rankings were determined after discussion by all authors.</p>
      <p id="d1e494">In summary, the accuracy rankings A and B are more credible, accounting for
90 % of the data of CUED and 69 % of CCWAD. The C and D together
account for 5 % of CUED and 17 % of CCWAD. Limited by objective
conditions, the extent of some cities may be difficult to restore, but it
may not be appropriate to exclude these cities directly. Although the
accuracy ranking is an uncertainty attribute in our dataset, it is created
with the intention of allowing researchers to subset the dataset to the most
suitable level of accuracy for each specific analysis. For example, for
studies for which the most exact information is required, cities with a
certainty ranking of C or D could be rejected. Therefore, we developed the
accuracy rankings so that users with different needs could decide how to use
these speculative data. Furthermore, improvement and enhancement of the
dataset can be better targeted to those cities where geo-locations are
suspect – cities with an accuracy value of B or C.</p>
</sec>
<sec id="Ch1.S6.SS2">
  <label>6.2</label><title>Comparison with existing historical urban land use results</title>
      <p id="d1e505">To validate CCWAD, we use the estimation-based provincial urban land use
data (ULUD) for the Qing Dynasty in China (He et al., 2002). Based on the
length of city walls data collected from historical documents, ULUD reckoned
the areas of urban land use for 18 provinces in 1820. We extract<?pagebreak page5079?> data for
1820 from CCWAD and choose the 1820 administrative division data provided
by CHGIS (<uri>https://dataverse.harvard.edu/dataverse/chgis_v6_1820</uri>, last access: 2 October 2019) to count the area of the extent of city walls in
each province. Then we compare the result with the ULUD to validate our
dataset (Fig. 8). It is found that areas of the extent of city walls from
CCWAD in 1820 showed good consistency with the ULUD (<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.89</mml:mn></mml:mrow></mml:math></inline-formula>),
signifying the reliability of our CCWAD products. But the area of the extent
of city walls in each province of CCWAD is only about 60 % of the ULUD.
This is probably subject to the overestimations of the urban area in ULUD
since ULUD focuses on the length of city walls. The length of city walls
recorded in Chinese historical documents is often exaggerated, and ULUD
assumes that the shapes of city walls are all square or round, which is far
from the actual situation.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e528">Comparison of the area of urban land use in 1820 (ULUD) from He et al. (2002) and the
area of the extent of city walls in 1820 from CCWAD.</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f08.png"/>

        </fig>

</sec>
<sec id="Ch1.S6.SS3">
  <label>6.3</label><title>The relationship with historical urban population</title>
      <p id="d1e545">The increase in urban population is one of the main driving factors for
urban land expansion (Paclone, 2001). Thereby we further compared the urban
extent data in CUED with the urban population data (UPD) in the Qing Dynasty
from Cao (2001b) to validate the accuracy of CUED. UPD provides the urban
population for 18 provinces in 1776 and 1893 in the Qing Dynasty, and we
count the urban extent areas of these provinces of CUED in 1787 and 1866 for
comparison (Fig. 9). UPD includes towns, so its scope is slightly larger
than our CUED. The scatter plot between urban population and urban area
shows that, on the whole, urban area increased with the urban population,
but they are not linearly dependent. In the late 18th century, the
urban area and urban population of most provinces are significantly
correlated. However, Zhili (today's Hebei, Beijing, Tianjin, and northeastern
Henan), Shanxi, Shandong, and Henan have a higher level of urban area than
their urban population. Perhaps<?pagebreak page5080?> because these provinces are close to the
capital and the Great Wall, the average size of their city walls is larger.
Jiangsu and Zhejiang have a lower level of urban area than their urban
population, indicating that the urban population density in these provinces
is higher and there are more towns (Fig. 9a). In the middle to late 19th
century, with the increase in foreign economic activities, the urban
population density of the southeastern coast (Guangdong, Zhejiang, Jiangsu) and
the midwest (Sichuan, Hubei) increased significantly (Fig. 9b). Long-term
changes in the relationship between urban area and urban population are
accurately described by CUED, which demonstrated the reliability of CUED.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e550">Comparison of the urban population in 1776 and 1893 (UPD) and the
urban area in 1787 and 1866 from CUED.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f09.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S7">
  <label>7</label><title>Results</title>
      <p id="d1e568">Based on the CCWAD product, we plotted the time series of the changes in the
area of the city wall's extent. Taking the area of the city walls in 1368
(<inline-formula><mml:math id="M2" display="inline"><mml:mo lspace="0mm">=</mml:mo></mml:math></inline-formula> 1087.06 km<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>) as the initial value, Fig. 7a reflects the changes
in the area of the city wall area during the Ming and Qing dynasties in
China. It can be seen that in the 14th–20th centuries, the extent
of the city wall area grew at a slow rate. The smallest area of the city
wall was in 1373 (<inline-formula><mml:math id="M4" display="inline"><mml:mo lspace="0mm">=</mml:mo></mml:math></inline-formula> 1040.98 km<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>), and the largest area was in 1911
(<inline-formula><mml:math id="M6" display="inline"><mml:mo lspace="0mm">=</mml:mo></mml:math></inline-formula> 1367.22 km<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>). According to the change in the slope of Fig. 7a, the area change in the city wall extent can be divided into six periods.
Period 1368–1404 was in the early years of the Ming Dynasty: many cities
were abandoned due to years of war, which led to a decline in city wall
areas. However, these cities were quickly rebuilt, and many military
cities were built, making the built-up area soon exceed the level of 1368.
At the beginning of the 15th century, the Ming Dynasty abandoned the
area north of the Great Wall, and most of the cities in this area were
abandoned. After that, in the period 1405–1564, the area of city wall extents
grew slowly. From the middle of the 16th century, the situation in the
north and southeast was tense, and many cities there built outer city walls,
which accelerated the growth of the area of the city walls (period 1565–1662).
In the middle of the 17th century, the area of the city walls fell again
partly because of the war in the late Ming and early Qing dynasties and
also because the Qing government abolished many military cities built by the
Ming Dynasty (period 1663–1727). The growth of the area of the city walls in
the period 1728–1860 was very slow. Until the middle of the 19th century,
the government opened up immigration to the northeast of China, and the area of city
walls began to grow rapidly.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e623">Provincial distribution of urban extents in the 15th–19th
centuries.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Province</oasis:entry>
         <oasis:entry rowsep="1" namest="col2" nameend="col7" align="center">Urban extent area (km<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>) </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">1400</oasis:entry>
         <oasis:entry colname="col3">1537</oasis:entry>
         <oasis:entry colname="col4">1648</oasis:entry>
         <oasis:entry colname="col5">1708</oasis:entry>
         <oasis:entry colname="col6">1787</oasis:entry>
         <oasis:entry colname="col7">1866</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Anhui</oasis:entry>
         <oasis:entry colname="col2">52.68</oasis:entry>
         <oasis:entry colname="col3">53.54</oasis:entry>
         <oasis:entry colname="col4">53.64</oasis:entry>
         <oasis:entry colname="col5">53.39</oasis:entry>
         <oasis:entry colname="col6">53.19</oasis:entry>
         <oasis:entry colname="col7">54.55</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Fujian</oasis:entry>
         <oasis:entry colname="col2">40.33</oasis:entry>
         <oasis:entry colname="col3">42.04</oasis:entry>
         <oasis:entry colname="col4">43.77</oasis:entry>
         <oasis:entry colname="col5">37.88</oasis:entry>
         <oasis:entry colname="col6">38.55</oasis:entry>
         <oasis:entry colname="col7">38.71</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Gansu and Ningxia</oasis:entry>
         <oasis:entry colname="col2">32.76</oasis:entry>
         <oasis:entry colname="col3">49.71</oasis:entry>
         <oasis:entry colname="col4">52.29</oasis:entry>
         <oasis:entry colname="col5">51.64</oasis:entry>
         <oasis:entry colname="col6">53.47</oasis:entry>
         <oasis:entry colname="col7">53.41</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Guangdong and Hainan</oasis:entry>
         <oasis:entry colname="col2">40.26</oasis:entry>
         <oasis:entry colname="col3">44.92</oasis:entry>
         <oasis:entry colname="col4">51.32</oasis:entry>
         <oasis:entry colname="col5">49.47</oasis:entry>
         <oasis:entry colname="col6">44.05</oasis:entry>
         <oasis:entry colname="col7">44.30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Guangxi</oasis:entry>
         <oasis:entry colname="col2">22.34</oasis:entry>
         <oasis:entry colname="col3">23.95</oasis:entry>
         <oasis:entry colname="col4">25.46</oasis:entry>
         <oasis:entry colname="col5">24.83</oasis:entry>
         <oasis:entry colname="col6">26.24</oasis:entry>
         <oasis:entry colname="col7">26.24</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Guizhou</oasis:entry>
         <oasis:entry colname="col2">13.08</oasis:entry>
         <oasis:entry colname="col3">14.72</oasis:entry>
         <oasis:entry colname="col4">18.34</oasis:entry>
         <oasis:entry colname="col5">15.89</oasis:entry>
         <oasis:entry colname="col6">18.18</oasis:entry>
         <oasis:entry colname="col7">18.00</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Hebei, Beijing and Tianjin</oasis:entry>
         <oasis:entry colname="col2">168.88</oasis:entry>
         <oasis:entry colname="col3">154.87</oasis:entry>
         <oasis:entry colname="col4">182.13</oasis:entry>
         <oasis:entry colname="col5">175.69</oasis:entry>
         <oasis:entry colname="col6">180.04</oasis:entry>
         <oasis:entry colname="col7">201.36</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Heilongjiang</oasis:entry>
         <oasis:entry colname="col2">0</oasis:entry>
         <oasis:entry colname="col3">0</oasis:entry>
         <oasis:entry colname="col4">0.29</oasis:entry>
         <oasis:entry colname="col5">5.81</oasis:entry>
         <oasis:entry colname="col6">17.53</oasis:entry>
         <oasis:entry colname="col7">18.30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Henan</oasis:entry>
         <oasis:entry colname="col2">102.62</oasis:entry>
         <oasis:entry colname="col3">112.01</oasis:entry>
         <oasis:entry colname="col4">113.74</oasis:entry>
         <oasis:entry colname="col5">111.26</oasis:entry>
         <oasis:entry colname="col6">112.58</oasis:entry>
         <oasis:entry colname="col7">114.32</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Hubei</oasis:entry>
         <oasis:entry colname="col2">41.05</oasis:entry>
         <oasis:entry colname="col3">41.80</oasis:entry>
         <oasis:entry colname="col4">42.28</oasis:entry>
         <oasis:entry colname="col5">42.10</oasis:entry>
         <oasis:entry colname="col6">42.73</oasis:entry>
         <oasis:entry colname="col7">42.73</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Hunan</oasis:entry>
         <oasis:entry colname="col2">26.85</oasis:entry>
         <oasis:entry colname="col3">26.27</oasis:entry>
         <oasis:entry colname="col4">27.70</oasis:entry>
         <oasis:entry colname="col5">26.59</oasis:entry>
         <oasis:entry colname="col6">27.26</oasis:entry>
         <oasis:entry colname="col7">27.77</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Inner Mongolia</oasis:entry>
         <oasis:entry colname="col2">28.59</oasis:entry>
         <oasis:entry colname="col3">3.16</oasis:entry>
         <oasis:entry colname="col4">2.90</oasis:entry>
         <oasis:entry colname="col5">0.79</oasis:entry>
         <oasis:entry colname="col6">10.60</oasis:entry>
         <oasis:entry colname="col7">10.60</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Jiangsu and Shanghai</oasis:entry>
         <oasis:entry colname="col2">122.06</oasis:entry>
         <oasis:entry colname="col3">120.26</oasis:entry>
         <oasis:entry colname="col4">127.08</oasis:entry>
         <oasis:entry colname="col5">126.27</oasis:entry>
         <oasis:entry colname="col6">127.39</oasis:entry>
         <oasis:entry colname="col7">124.55</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Jiangxi</oasis:entry>
         <oasis:entry colname="col2">44.74</oasis:entry>
         <oasis:entry colname="col3">45.38</oasis:entry>
         <oasis:entry colname="col4">46.97</oasis:entry>
         <oasis:entry colname="col5">46.68</oasis:entry>
         <oasis:entry colname="col6">47.08</oasis:entry>
         <oasis:entry colname="col7">47.08</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Jilin</oasis:entry>
         <oasis:entry colname="col2">0</oasis:entry>
         <oasis:entry colname="col3">0.18</oasis:entry>
         <oasis:entry colname="col4">0.18</oasis:entry>
         <oasis:entry colname="col5">4.22</oasis:entry>
         <oasis:entry colname="col6">4.68</oasis:entry>
         <oasis:entry colname="col7">5.51</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Liaoning</oasis:entry>
         <oasis:entry colname="col2">21.34</oasis:entry>
         <oasis:entry colname="col3">26.02</oasis:entry>
         <oasis:entry colname="col4">37.73</oasis:entry>
         <oasis:entry colname="col5">37.71</oasis:entry>
         <oasis:entry colname="col6">38.93</oasis:entry>
         <oasis:entry colname="col7">39.69</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Qinghai</oasis:entry>
         <oasis:entry colname="col2">2.23</oasis:entry>
         <oasis:entry colname="col3">2.21</oasis:entry>
         <oasis:entry colname="col4">2.66</oasis:entry>
         <oasis:entry colname="col5">2.66</oasis:entry>
         <oasis:entry colname="col6">3.03</oasis:entry>
         <oasis:entry colname="col7">3.28</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Shaanxi</oasis:entry>
         <oasis:entry colname="col2">47.82</oasis:entry>
         <oasis:entry colname="col3">51.63</oasis:entry>
         <oasis:entry colname="col4">58.74</oasis:entry>
         <oasis:entry colname="col5">57.96</oasis:entry>
         <oasis:entry colname="col6">60.04</oasis:entry>
         <oasis:entry colname="col7">63.80</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Shandong</oasis:entry>
         <oasis:entry colname="col2">87.22</oasis:entry>
         <oasis:entry colname="col3">92.51</oasis:entry>
         <oasis:entry colname="col4">94.80</oasis:entry>
         <oasis:entry colname="col5">93.38</oasis:entry>
         <oasis:entry colname="col6">90.56</oasis:entry>
         <oasis:entry colname="col7">104.98</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Shanxi</oasis:entry>
         <oasis:entry colname="col2">79.68</oasis:entry>
         <oasis:entry colname="col3">91.50</oasis:entry>
         <oasis:entry colname="col4">98.37</oasis:entry>
         <oasis:entry colname="col5">97.65</oasis:entry>
         <oasis:entry colname="col6">94.13</oasis:entry>
         <oasis:entry colname="col7">93.65</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Sichuan and Chongqing</oasis:entry>
         <oasis:entry colname="col2">55.24</oasis:entry>
         <oasis:entry colname="col3">58.71</oasis:entry>
         <oasis:entry colname="col4">59.59</oasis:entry>
         <oasis:entry colname="col5">55.30</oasis:entry>
         <oasis:entry colname="col6">58.91</oasis:entry>
         <oasis:entry colname="col7">59.72</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Taiwan</oasis:entry>
         <oasis:entry colname="col2">0</oasis:entry>
         <oasis:entry colname="col3">0</oasis:entry>
         <oasis:entry colname="col4">0</oasis:entry>
         <oasis:entry colname="col5">3.31</oasis:entry>
         <oasis:entry colname="col6">4.03</oasis:entry>
         <oasis:entry colname="col7">4.64</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Xinjiang</oasis:entry>
         <oasis:entry colname="col2">0.33</oasis:entry>
         <oasis:entry colname="col3">0.15</oasis:entry>
         <oasis:entry colname="col4">0.15</oasis:entry>
         <oasis:entry colname="col5">0.15</oasis:entry>
         <oasis:entry colname="col6">20.79</oasis:entry>
         <oasis:entry colname="col7">20.96</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Yunnan</oasis:entry>
         <oasis:entry colname="col2">29.28</oasis:entry>
         <oasis:entry colname="col3">32.50</oasis:entry>
         <oasis:entry colname="col4">35.05</oasis:entry>
         <oasis:entry colname="col5">31.54</oasis:entry>
         <oasis:entry colname="col6">35.10</oasis:entry>
         <oasis:entry colname="col7">35.21</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Zhejiang</oasis:entry>
         <oasis:entry colname="col2">82.62</oasis:entry>
         <oasis:entry colname="col3">87.44</oasis:entry>
         <oasis:entry colname="col4">87.92</oasis:entry>
         <oasis:entry colname="col5">73.91</oasis:entry>
         <oasis:entry colname="col6">74.18</oasis:entry>
         <oasis:entry colname="col7">74.41</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e1325">Provincial distribution of urban extents in 1400, 1537, 1648,
1708, 1787, and 1866.</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/5071/2021/essd-13-5071-2021-f10.png"/>

      </fig>

      <p id="d1e1335">Figure 10 based on the CUED product shows the urban extent areas in some
provinces in each representative year. Combined with Table 1 and Fig. 1, it
can be seen that provinces in the northeast of Region III had the
largest urban extent area in the late imperial period in the 15th–19th
centuries. Hebei, where the capital Beijing was located, had the largest
urban area. Jiangsu and Shanghai, an economically developed area, ranked
second, and Henan, a populous province, ranked third. Shandong, Shanxi, and
Zhejiang also have large urban areas. During the study period, the urban
extent of the above provinces increased steadily or slowly, but Zhejiang
province decreased slightly in 1708. That was because the Qing Dynasty
issued an order to demolish some coastal cities at that time. The urban
extents of other provinces in Region III were roughly the same. Among
them, Anhui, Guangxi, Hubei, Hunan, Jiangxi, Sichuan and Chongqing had a long
history of land development, and the urban extent remained stable during
the 15th–19th centuries. Fujian, Guangdong, and Hainan decreased
slightly in 1708 for the same reason as Zhejiang. Yunnan and Guizhou
provinces developed intensively and built a number of cities in the early
Ming Dynasty. In the middle and late Ming Dynasty, the urban extent of
Shaanxi, Liaoning, Gansu, and Ningxia increased rapidly because of the severe
military pressure faced by nomads at that time. Taiwan began large-scale
development only after the 18th century, and some small cities were
built mainly on the west coast.</p>
      <p id="d1e1338">Jilin and Heilongjiang, located in Region I, had no administrative
cities in the Ming Dynasty. After the mid-18th century, with the influx
of immigrants, a number of cities were established. Inner Mongolia, located
in Region II, had a certain number of cities in the Yuan Dynasty
(1271–1368) and the early Ming Dynasty, but by the middle of the Ming Dynasty,
these cities were gradually abandoned. It was not until the late 18th
century that Inner Mongolia rebuilt some cities with the influx of
immigrants. Xinjiang, located in Region IV, was not under the rule of
the Ming Dynasty. In the late 18th century, the Qing Dynasty completely
conquered Xinjiang and established a number of administrative cities, and
the cities of Qinghai in Region V were located in the valleys of the
Yellow River and Huangshui River.</p>
</sec>
<sec id="Ch1.S8">
  <label>8</label><title>Data availability</title>
      <?pagebreak page5081?><p id="d1e1349">The datasets include the CCWAD for 1368–1911 and the CUED for 1400, 1537,
1648, 1708, 1787, and 1866 are publicly available and can be downloaded from
<ext-link xlink:href="https://doi.org/10.6084/m9.figshare.14112968.v3" ext-link-type="DOI">10.6084/m9.figshare.14112968.v3</ext-link> (Xue et al.,
2021).</p>
      <p id="d1e1355">For CCWAD we provide a shapefile file (referring to files with .cpg, .shp,
.dbf, .shx, .sbn, .sbx, and .prj extensions). Appendix A provides an
introduction to the attributes of CCWAD. For CUED we provide six shapefile
files (referring to files with .cpg, .shp, .dbf, .shx, .xml, .sbn, .sbx, and
.prj extensions). Appendix B provides an introduction to the attributes of
CUED.</p>
</sec>
<sec id="Ch1.S9" sec-type="conclusions">
  <label>9</label><title>Conclusion and outlook</title>
      <p id="d1e1366">Ultimately, we view CCWAD and CUED as a beginning compilation of a richer
historical, city-level urban database for late imperial China. Despite the
current reliability gaps, these datasets provide a spatially explicit,
long-term historical record of walled cities and urban extent of China,
especially since no alternative geocoded dataset at such a resolution exists. As a
result, this dataset could be used as a<?pagebreak page5082?> foundation to build a full and
accurate record of built-up urban areas through history, creating
systematic, global built-up area data to measure urban growth on a long
timescale.</p>
      <p id="d1e1369">However, we caution potential CCWAD and CUED users of the following
limitations and dataset details:
<list list-type="order"><list-item>
      <p id="d1e1374">The urban extent dataset (CUED) is derived from the city wall dataset (CCWAD).
Strictly speaking, the extent of the city wall cannot be completely equal to
the size of the urban extent. The data may better reflect the urban extent
in the year when the city wall was built. The lifetime of each urban extent
provided by the CCWAD is a period of time, and the urban extent of any year
within the time period can be determined. However, if the year to be determined is too far from the year of the construction of the city wall, the
actual urban extent may have a large difference from the wall's extent.
Before the construction of the city wall, in fact, we could hardly know
the actual size of the urban extent, and only the later wall's area was
referred to. More often, after the city wall is built, as time goes by, the
area farther away from the city gates and the center gradually becomes
uninhabited and even becomes cultivated land; the area with convenient
transportation outside the city gates forms new built-up areas. Therefore,
we recommend that potential CCWAD users should be careful not to be too far
away from the year of construction of the city wall when choosing the
research years. This was why we generated six representative years in
the CUED product in 15th–19th century China.</p></list-item><list-item>
      <p id="d1e1378">In general, the increase or decrease in the city wall range often means
the increase or decrease in the urban extent, but they are not completely
synchronized in time. Like most ancient civilizations, city walls in China
were primarily defensive military structures. In peacetime, the city walls
were useless and often hindered the expansion of cities. During these
periods, suburbs grew outside the city gates, and the walls were often
neglected or even vandalized. But during the war, the walls became necessary
facilities to defend the cities. At this time, if the suburbs outside the
city gates had grown large, new suburban walls were built to protect them.
Therefore, a paradox is that the development of cities generally requires a
peaceful social environment, but the expansion of the city wall area often
happened in the period of wars. In this sense, the city wall can be seen as
the sign and confirmation of the urban development before wars. Users should
understand that it is not the war that has led to the expansion of urban
extents, but the expansion of the city wall reflects the development of the
city's economy and the increase in population before the outbreak of wars.</p><?xmltex \hack{\newpage}?></list-item><list-item>
      <p id="d1e1383">To sum up, the reliability of this dataset is acceptable, but users need
to be aware of whether the reliability rating of the area has fallen when it
comes to smaller areas. In the 15th–19th centuries, cities in some regions
generally did not build city walls. We use accuracy ranking D to represent
the cities without walls in CUED and CCWAD. In CCWAD, there are 436 such cities, accounting for 13 %. In CUED, there are 83 such cities in
the representative year 1400, 48 in the year 1537, 43 in the year 1648, 31
in the year 1708, 37 in the year 1787, and 42 in the year 1866; and the
proportions are between 2 % and 5 %. Cities without the walls could be
roughly divided into two categories. One was the less important cities
located in the inland areas. The other was the cities established at the end
of the 19th century. At that time, with the advancement of weapons, the
defensive significance of the city wall was greatly reduced. When
researching these areas, be sure to pay attention to the reliability rating.</p></list-item><list-item>
      <p id="d1e1387">The objects of our study only include administrative cities. Although
almost all cities in late imperial China could be classified as
administrative cities, we must point out that the following types of
settlements could also be regarded as “cities”, but they are not included
in our datasets. (a) In late imperial China, the industrial and
commercial settlements without administrative agencies were generally called
“markets (<italic>shi</italic>)” or “towns (<italic>zhen</italic>)”. The size of the town was generally smaller
than the lowest administrative center, the county seat. But there were also
some huge towns, such as Hankou, Foshan, Jingde, etc., whose scale
exceeded the county seat and even higher-level cities. These huge towns
should undoubtedly be regarded as cities, but they are not in the scope of this
research. (b) If a city was already there and got chosen later to become an
administrative center, in this case, data before the “city” became the
administrative center were not included in our datasets. (c) Cities outside
the direct administration of the Ming and Qing empires, such as Lhasa, are not included. (d) Cities belonging to colonists, such as Macau, Hong Kong, Qingdao, etc. are not included. The definition of “city” or “urban” in late imperial China is
complex and far from conclusive, but we hope that the content of our
datasets has a clear border. Therefore, in this study, we defined
“city” as the settlement where the administrative center was located. This definition is the same as the general research practice of pre-modern
China. As for the cities outside the range of this study, further detailed
explorations are needed.</p></list-item></list></p><?xmltex \hack{\clearpage}?>
</sec>

      
      </body>
    <back><app-group>

<?pagebreak page5083?><app id="App1.Ch1.S1">
  <?xmltex \currentcnt{A}?><label>Appendix A</label><title>Data records of CCWAD</title>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T2"><?xmltex \hack{\hsize\textwidth}?><?xmltex \currentcnt{A1}?><label>Table A1</label><caption><p id="d1e1412">For the China City Wall Areas Dataset (CCWAD) in 1368–1911 we provide a
shapefile file (referring to files with .cpg, .shp, .dbf, .shx, .sbn, .sbx,
and .prj extensions). It includes the following attributes.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="15cm"/>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">FID</oasis:entry>
         <oasis:entry colname="col2">The (unique) identifier for each object (integer).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NAME</oasis:entry>
         <oasis:entry colname="col2">The longest-used official name in the city's lifetime.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">BEG_YEAR</oasis:entry>
         <oasis:entry colname="col2">The year in which the lifetime begins. It means that the city began to appear in this year. Its minimum value is 1368 (the year that the Ming Dynasty was established), and the maximum is 1911 (the year when the Qing Dynasty ended).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">END_YEAR</oasis:entry>
         <oasis:entry colname="col2">The year in which the lifetime ends. It means that the city's status changed during this year (expanding, reducing, changing the shape of the plan, or disappearing). The age range is also from 1368 to 1911.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">TYPE</oasis:entry>
         <oasis:entry colname="col2">The city's administrative level in the year of the “BEG_ YEAR”.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">RELIABILIT</oasis:entry>
         <oasis:entry colname="col2">Reliability rating of the data.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">REFERENCES</oasis:entry>
         <oasis:entry colname="col2">References on which the data were mainly based. For the meaning of abbreviations, see Appendix C.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">AREA_sq_km</oasis:entry>
         <oasis:entry colname="col2">Area within the city wall (unit: square kilometer).</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</app>

<app id="App1.Ch1.S2">
  <?xmltex \currentcnt{B}?><label>Appendix B</label><title>Data records of CUED</title>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S2.T3"><?xmltex \hack{\hsize\textwidth}?><?xmltex \currentcnt{B1}?><label>Table B1</label><caption><p id="d1e1512">For the China Urban Extent Dataset (CUED) for the 15th–19th centuries we
provide six shapefile files (referring to files with .cpg, .shp, .dbf, .shx,
.xml, .sbn, .sbx, and .prj extensions). It includes six representative years
(1400, 1537, 1648, 1708, 1787, and 1866). The data records of CUED in six
representative years are the same. They include the following attributes.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="14cm"/>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">FID</oasis:entry>
         <oasis:entry colname="col2">The (unique) identifier for each object (integer).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">REP_YEAR</oasis:entry>
         <oasis:entry colname="col2">The representative years (i.e., 1400, 1537, 1648, 1708, 1787, and 1866).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NAME</oasis:entry>
         <oasis:entry colname="col2">City's name in the representative years.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">TYPE</oasis:entry>
         <oasis:entry colname="col2">City's administrative level in the representative years.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">RELIABILIT</oasis:entry>
         <oasis:entry colname="col2">Reliability rating of the data.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">REFERENCES</oasis:entry>
         <oasis:entry colname="col2">References on which the data were mainly based. For the meaning of abbreviations, see Appendix C.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">AREA_sq_km</oasis:entry>
         <oasis:entry colname="col2">Area of the city (unit: square kilometer).</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</app>

<app id="App1.Ch1.S3">
  <?xmltex \currentcnt{C}?><label>Appendix C</label><title/>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S3.T4"><?xmltex \hack{\hsize\textwidth}?><?xmltex \currentcnt{C1}?><label>Table C1</label><caption><p id="d1e1602">Abbreviations.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="15cm"/>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">ACM</oasis:entry>
         <oasis:entry colname="col2">General history of administrative regions in China (the volume of Ming Dynasty) (Guo and Jin, 2007).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ACQ</oasis:entry>
         <oasis:entry colname="col2">General history of administrative regions in China (the volume of Qing Dynasty) (Fu et al., 2013).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">BIAM</oasis:entry>
         <oasis:entry colname="col2">City wall data compilation of <italic>Book Integration of Ancient and Modern Times</italic> (Cheng, 2016a).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CTW</oasis:entry>
         <oasis:entry colname="col2">Ancient cities in Taiwan (Zhang, 2009).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">LC</oasis:entry>
         <oasis:entry colname="col2">City wall data compilation of local chronicles (Cheng, 2016b).</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">URQ</oasis:entry>
         <oasis:entry colname="col2">City wall data compilation of <italic>Unified Records of the Qing Dynasty</italic> (Cheng, 2016c).</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \hack{\clearpage}?><supplementary-material position="anchor"><p id="d1e1679">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/essd-13-5071-2021-supplement" xlink:title="pdf">https://doi.org/10.5194/essd-13-5071-2021-supplement</inline-supplementary-material>.</p></supplementary-material>
</app>
  </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1691">XJ, QX, and YC originated, conceived, and designed the
work. YC collated and studied the historical literature. QX, XJ, XY, and YZ
developed and analyzed the dataset. All authors contributed to the writing
of the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1697">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e1703">Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1709">We would like to thank Lijun Qin, Rui Sun, Shuai Cao,
Yuchao Jiang, and Xiaolin Zhang of Nanjing University, Zihao Xu of Yunnan
University, and Xinghua Chen of Nanjing Agricultural University for their
work of the dataset.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1714">This research has been supported by the National Natural Science Foundation of China (grant no. 41671082).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1720">This paper was edited by David Carlson and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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