TY - GEN
T1 - High-resolution population grid in the Conus using Microsoft building footprints
T2 - 3rd ACM SIGSPATIAL International Workshop on Geospatial Humanities, GeoHumanities 2019
AU - Huang, Xiao
AU - Wang, Cuizhen
AU - Li, Zhenlong
N1 - Publisher Copyright:
© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019/11/5
Y1 - 2019/11/5
N2 - Better knowledge of where people live is of great importance for a wide range of studies, including disaster responses, public health, resource management, and urban planning. Given the increasing demand for population grid with improved quality, this study explores the feasibility of generating high-resolution (100m) population grids in the Conterminous U.S. (CONUS) using a total of 125 million building footprints recently released by Microsoft. Those building footprints were used to disaggregate census tract population of the latest ACS 5-year estimates (2013-2017). Land use dataset from the OpenStreetMap (OSM) was applied to trim raw buildings footprints by removing those that are not likely residential. Weighting scenarios were designed, with which a dasymetric model was applied to disaggregate the ACS census tract estimates into a 100m population grid product. The results suggest that building footprints as a weighting layer, particularly footprint size after trimming, outperforms other commonly used weighting layers and is able to capture the great heterogeneity of population distribution at the micro-level. This study provides valuable experience in developing high-resolution population grid products that can benefit a wide range of studies in need of spatially explicit population data.
AB - Better knowledge of where people live is of great importance for a wide range of studies, including disaster responses, public health, resource management, and urban planning. Given the increasing demand for population grid with improved quality, this study explores the feasibility of generating high-resolution (100m) population grids in the Conterminous U.S. (CONUS) using a total of 125 million building footprints recently released by Microsoft. Those building footprints were used to disaggregate census tract population of the latest ACS 5-year estimates (2013-2017). Land use dataset from the OpenStreetMap (OSM) was applied to trim raw buildings footprints by removing those that are not likely residential. Weighting scenarios were designed, with which a dasymetric model was applied to disaggregate the ACS census tract estimates into a 100m population grid product. The results suggest that building footprints as a weighting layer, particularly footprint size after trimming, outperforms other commonly used weighting layers and is able to capture the great heterogeneity of population distribution at the micro-level. This study provides valuable experience in developing high-resolution population grid products that can benefit a wide range of studies in need of spatially explicit population data.
UR - http://www.scopus.com/inward/record.url?scp=85075624236&partnerID=8YFLogxK
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U2 - 10.1145/3356991.3365469
DO - 10.1145/3356991.3365469
M3 - Conference contribution
AN - SCOPUS:85075624236
T3 - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Geospatial Humanities, GeoHumanities 2019
BT - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Geospatial Humanities, GeoHumanities 2019
A2 - Martins, Bruno
A2 - Moncla, Ludovic
A2 - Murrieta-Flores, Patricia
PB - Association for Computing Machinery, Inc
Y2 - 5 November 2019
ER -
