Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

IF value: 9.197
IF9.197
IF 5-year value: 9.612
IF 5-year
9.612
CiteScore value: 12.5
CiteScore
12.5
SNIP value: 3.137
SNIP3.137
IPP value: 9.49
IPP9.49
SJR value: 4.532
SJR4.532
Scimago H <br class='widget-line-break'>index value: 48
Scimago H
index
48
h5-index value: 35
h5-index35
ESSD | Articles | Volume 11, issue 3
Earth Syst. Sci. Data, 11, 1385–1409, 2019
https://doi.org/10.5194/essd-11-1385-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 11, 1385–1409, 2019
https://doi.org/10.5194/essd-11-1385-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 11 Sep 2019

Review article | 11 Sep 2019

The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

Stefan Leyk et al.

Related authors

Fine-grained, spatio-temporal datasets measuring 200 years of land development in the United States
Johannes H. Uhl, Stefan Leyk, Caitlin M. McShane, Anna E. Braswell, Dylan S. Connor, and Deborah Balk
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-217,https://doi.org/10.5194/essd-2020-217, 2020
Preprint under review for ESSD
Short summary
Estimating changes in urban land and urban population using refined areal interpolation techniques
Hamidreza Zoraghein and Stefan Leyk
Proc. Int. Cartogr. Assoc., 1, 130, https://doi.org/10.5194/ica-proc-1-130-2018,https://doi.org/10.5194/ica-proc-1-130-2018, 2018

Related subject area

Data, Algorithms, and Models
WFDE5: bias-adjusted ERA5 reanalysis data for impact studies
Marco Cucchi, Graham P. Weedon, Alessandro Amici, Nicolas Bellouin, Stefan Lange, Hannes Müller Schmied, Hans Hersbach, and Carlo Buontempo
Earth Syst. Sci. Data, 12, 2097–2120, https://doi.org/10.5194/essd-12-2097-2020,https://doi.org/10.5194/essd-12-2097-2020, 2020
Short summary
A high-resolution reanalysis of global fire weather from 1979 to 2018 – overwintering the Drought Code
Megan McElhinny, Justin F. Beckers, Chelene Hanes, Mike Flannigan, and Piyush Jain
Earth Syst. Sci. Data, 12, 1823–1833, https://doi.org/10.5194/essd-12-1823-2020,https://doi.org/10.5194/essd-12-1823-2020, 2020
Short summary
Improving the usability of the Multi-angle Imaging SpectroRadiometer (MISR) L1B2 Georectified Radiance Product (2000–present) in land surface applications
Michel M. Verstraete, Linda A. Hunt, and Veljko M. Jovanovic
Earth Syst. Sci. Data, 12, 1321–1346, https://doi.org/10.5194/essd-12-1321-2020,https://doi.org/10.5194/essd-12-1321-2020, 2020
Short summary
Annual dynamics of global land cover and its long-term changes from 1982 to 2015
Han Liu, Peng Gong, Jie Wang, Nicholas Clinton, Yuqi Bai, and Shunlin Liang
Earth Syst. Sci. Data, 12, 1217–1243, https://doi.org/10.5194/essd-12-1217-2020,https://doi.org/10.5194/essd-12-1217-2020, 2020
Short summary
A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications
Kimberly A. Casey, Cecile S. Rousseaux, Watson W. Gregg, Emmanuel Boss, Alison P. Chase, Susanne E. Craig, Colleen B. Mouw, Rick A. Reynolds, Dariusz Stramski, Steven G. Ackleson, Annick Bricaud, Blake Schaeffer, Marlon R. Lewis, and Stéphane Maritorena
Earth Syst. Sci. Data, 12, 1123–1139, https://doi.org/10.5194/essd-12-1123-2020,https://doi.org/10.5194/essd-12-1123-2020, 2020
Short summary

Cited articles

Agumya, A. and Hunter, G. F.: A Risk-Based Approach to Assessing the “Fitness for Use” of Spatial Data, URISA Journal, 11, 33–44, 1999. 
Amrhein, C. G.: Searching for the Elusive Aggregation Effect: Evidence from Statistical Simulations, Environ. Plann. A, 27, 105–119, https://doi.org/10.1068/a270105, 1995. 
Arbia, G. and Petrarca, F.: Effects of MAUP on spatial econometric models, Letters in Spatial and Resource Sciences, 4, 173, https://doi.org/10.1007/s12076-011-0065-9, 2011. 
Aubrecht, C., Gunasekera, R., Ungar, J., and Ishizawa, O.: Consistent yet adaptive global geospatial identification of urban–rural patterns: The iURBAN model, Remote Sens. Environ., 187, 230–240, https://doi.org/10.1016/j.rse.2016.10.031, 2016. 
Azar, D., Graesser, J., Engstrom, R., Comenetz, J., Leddy, R. M., Schechtman, N. G., and Andrews, T.: Spatial refinement of census population distribution using remotely sensed estimates of impervious surfaces in Haiti, Int. J. Remote Sens., 31, 5635–5655, https://doi.org/10.1080/01431161.2010.496799, 2010. 
Short summary
Population data are essential for studies on human–nature relationships, disaster or environmental health. Several global and continental gridded population data have been produced but have never been systematically compared. This article fills this gap and critically compares these gridded population datasets. Through the lens of the fitness for use concept it provides users with the knowledge needed to make informed decisions about appropriate data use in relation to the target application.
Population data are essential for studies on human–nature relationships, disaster or...
Citation