Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4713-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4713-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
26 Oct 2023
Data description paper |
| 26 Oct 2023
| 26 Oct 2023
HISDAC-ES: historical settlement data compilation for Spain (1900–2020)
Johannes H. Uhl
CORRESPONDING AUTHOR
Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO 80309, USA
Earth Lab, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Dominic Royé
Climate Research Foundation (FIC), 28013 Madrid, Spain
Keith Burghardt
Information Sciences Institute, University of Southern California, Marina del Rey, CA 90292, USA
José A. Aldrey Vázquez
Department of Geography, Universidad de Santiago de Compostela, 15703 Santiago de Compostela, Spain
Manuel Borobio Sanchiz
Department of Geography, Universidad de Santiago de Compostela, 15703 Santiago de Compostela, Spain
Stefan Leyk
Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO 80309, USA
Department of Geography, University of Colorado Boulder, Boulder, CO 80309, USA
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Fine-grained geospatial data on the spatial distribution of human settlements are scarce prior to the era of remote-sensing-based Earth observation. In this paper, we present datasets derived from a large, novel building stock database, enabling the spatially explicit analysis of 200 years of land development in the United States at an unprecedented spatial and temporal resolution. These datasets greatly facilitate long-term studies of socio-environmental systems in the conterminous USA.
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Short summary
Short summary
Fine-grained geospatial data on the spatial distribution of human settlements are scarce prior to the era of remote-sensing-based Earth observation. In this paper, we present datasets derived from a large, novel building stock database, enabling the spatially explicit analysis of 200 years of land development in the United States at an unprecedented spatial and temporal resolution. These datasets greatly facilitate long-term studies of socio-environmental systems in the conterminous USA.
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Short summary
Historical, fine-grained geospatial datasets on built-up areas are rarely available, constraining studies of urbanization, settlement evolution, or the dynamics of human–environment interactions to recent decades. In order to provide such historical data, we used publicly available cadastral building data for Spain and created a series of gridded surfaces, measuring age, physical, and land-use-related features of the built environment in Spain and the evolution of settlements from 1900 to 2020.
Historical, fine-grained geospatial datasets on built-up areas are rarely available,...
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