2018
DOI: 10.1038/sdata.2018.175
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HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years

Abstract: Human settlement plays a key role in understanding social processes such as urbanization and interactions between human and environmental systems but not much is known about the landscape evolution before the era of operational remote sensing technology. In this study, housing and property databases are used to create new gridded settlement layers describing human settlement processes at fine spatial and temporal resolution in the conterminous United States between 1810 and 2015. The main products are a raster… Show more

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Cited by 57 publications
(89 citation statements)
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“…While beyond the scope of this work, characterizing the distribution of built-up characteristics across blocks that transition and those that do not would aid in this task. In addition to using GHSL, which is available globally, we could use the Historical Settlement Data Compilation for the Conterminous United States HISDAC-US [34], a new much-longer time-series, for the US, to further determine the timing of reclassification and revise the long-term descriptions of urban growth, nationally, over even longer time periods. Similarly, following blocks across multiple census periods would help to identify patterns of change over time and, potentially, further improve a predictive model.…”
Section: Discussionmentioning
confidence: 99%
“…While beyond the scope of this work, characterizing the distribution of built-up characteristics across blocks that transition and those that do not would aid in this task. In addition to using GHSL, which is available globally, we could use the Historical Settlement Data Compilation for the Conterminous United States HISDAC-US [34], a new much-longer time-series, for the US, to further determine the timing of reclassification and revise the long-term descriptions of urban growth, nationally, over even longer time periods. Similarly, following blocks across multiple census periods would help to identify patterns of change over time and, potentially, further improve a predictive model.…”
Section: Discussionmentioning
confidence: 99%
“…• Are there novel data sources, or data integration & synthesis opportunities, that can build national and global datasets on societal impacts (e.g., fine-resolution housing data from Zillow; Leyk & Uhl, 2018) )? • Can we use data opportunities to expand our understanding of baselines in space and time to detect shifts and extreme deviations?…”
Section: Leveraging the Data Revolution And New Methods To Understand Smentioning
confidence: 99%
“…Expanding structure area in locations at risk of disturbance could indicate growing exposure to extremes. Focusing on the intersection between droughts and fires, panel (a) depicts the areas that experienced fires >400 ha (Monitoring trends in Burn Severity, 1984-2016http://mtbs.gov;(United States Geological Survey, 2019)), exceptional drought (category D4, 1984-2016http://metdata.northwesternknowledge.net;(Abatzoglou, 2013) or both combined with structure interior area growth (m2) from Zillow ZTRAX database (1980-2015; https://dataverse.harvard.edu/dataverse/hisdacus; Leyk & Uhl, 2018). (b) Comparison between disturbance types shows that while more building area was constructed in areas not subject to fire or droughts, areas that had experienced drought, fire or both had large increases in structure area, possibly increasing exposure to these extremes.…”
Section: Figurementioning
confidence: 99%
“…Expanding structure area in locations at risk of disturbance could indicate growing exposure to extremes. Focusing on the intersection between droughts and fires, panel (a) depicts the areas that experienced fires >400 ha (Monitoring trends in Burn Severity, 1984 -2016; http://mtbs.gov; (United States Geological Survey, 2019)), exceptional drought (category D4, 1984-2016http://metdata.northwesternknowledge.net;(Abatzoglou, 2013) or both combined with structure interior area growth (m2) from Zillow ZTRAX database (1980-2015; https://dataverse.harvard.edu/dataverse/hisdacus; Leyk & Uhl, 2018). (b) Comparison between disturbance types shows that while more building area was constructed in areas not subject to fire or droughts, areas that had experienced drought, fire or both had large increases in structure area, possibly increasing exposure to these extremes.…”
Section: A Research Agenda For Studying the Interactionsmentioning
confidence: 99%