The Built-Hazard Interface: A Dynamic Framework for Mapping Hazard Zones
Aleksander Berg
University of Colorado Boulder Department of Geography, CO, USA
University of Colorado Boulder Institute of Behavioral Science, CO, USA
Stefan Leyk
University of Colorado Boulder Department of Geography, CO, USA
University of Colorado Boulder Institute of Behavioral Science, CO, USA
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Johannes H. Uhl, Dominic Royé, Keith Burghardt, José A. Aldrey Vázquez, Manuel Borobio Sanchiz, and Stefan Leyk
Earth Syst. Sci. Data, 15, 4713–4747, https://doi.org/10.5194/essd-15-4713-2023, https://doi.org/10.5194/essd-15-4713-2023, 2023
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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.
Albert Adolf, Karolina Wereszczyńska, Izabela Karsznia, Robert Weibel, and Stefan Leyk
Abstr. Int. Cartogr. Assoc., 6, 3, https://doi.org/10.5194/ica-abs-6-3-2023, https://doi.org/10.5194/ica-abs-6-3-2023, 2023
Izabela Karsznia, Albert Adolf, and Stefan Leyk
Abstr. Int. Cartogr. Assoc., 3, 139, https://doi.org/10.5194/ica-abs-3-139-2021, https://doi.org/10.5194/ica-abs-3-139-2021, 2021
Johannes H. Uhl, Stefan Leyk, Weiwei Duan, Zekun Li, Basel Shbita, Yao-Yi Chiang, and Craig A. Knoblock
Abstr. Int. Cartogr. Assoc., 3, 297, https://doi.org/10.5194/ica-abs-3-297-2021, https://doi.org/10.5194/ica-abs-3-297-2021, 2021
Johannes H. Uhl, Stefan Leyk, Caitlin M. McShane, Anna E. Braswell, Dylan S. Connor, and Deborah Balk
Earth Syst. Sci. Data, 13, 119–153, https://doi.org/10.5194/essd-13-119-2021, https://doi.org/10.5194/essd-13-119-2021, 2021
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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.