Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset

Wan, Heng; Ganguli, Sumitrra; Jain, Milan; Anderson, David; Mohankumar, Narmadha Meenu; Wilson, Kyle D.

doi:10.1016/j.compenvurbsys.2023.102024

Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset

Journal Article · Thu Aug 03 00:00:00 EDT 2023 · Computers, Environment and Urban Systems

DOI:https://doi.org/10.1016/j.compenvurbsys.2023.102024· OSTI ID:2032374

Wan, Heng ^[1]; Ganguli, Sumitrra ^[1]; Jain, Milan ^[1]; ^[1]; Mohankumar, Narmadha Meenu ^[1]; Wilson, Kyle D. ^[1]

Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Population data are normally collected at various census administrative levels, and areal interpolation of population is often required to transform population to the desired spatial resolution. Building footprint datasets, such as Microsoft building footprints, have proven to be useful in estimating population distribution and can therefore be used for areal interpolation of population. In addition to Microsoft building footprints, the recently released USA Structures dataset provides additional information such as building type and building height for some regions, which may provide valuable information for a better depiction of population distribution and improved population areal interpolation accuracy. In this study, we have conducted areal interpolation of population projections consistent with three different Shared Socioeconomic Pathways (SSP2, SSP3, and SSP5) from 1-km grid cells to block level in Washington state for every ten years from 2020 to 2040 based on USA Structures. We assessed USA Structures-based population downscaling accuracy using U.S. decennial survey data in 2020 under three different downscaling schemes, including population downscaling from census tracts to block groups, from census tracts to blocks, and from block groups to blocks. The resulting accuracies were compared with those based on Microsoft building footprints. The comparison showed that USA Structures achieved higher accuracies across different population density regions and areas with different urbanization extent within our study area.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2032374

Report Number(s):: PNNL-SA--182505

Journal Information:: Computers, Environment and Urban Systems, Journal Name: Computers, Environment and Urban Systems Vol. 105; ISSN 0198-9715

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (35)

Internal migration scenarios and regional population Projections for the European Union van der Gaag, Nicole; van Imhoff, Evert; van Wissen, Leo International Journal of Population Geography, Vol. 6, Issue 1 https://doi.org/10.1002/(SICI)1099-1220(200001/02)6:1<1::AID-IJPG170>3.0.CO;2-3	journal	January 2000
Population Projections and Population Policies Buettner, Thomas International Handbook of Population Policies https://doi.org/10.1007/978-3-031-02040-7_21	book	January 2022
Comparative empirical evaluations of internal migration models in subnational population projections Wilson, Tom; Bell, Martin Journal of Population Research, Vol. 21, Issue 2 https://doi.org/10.1007/BF03031895	journal	September 2004
Accuracy of areal interpolation: A comparison of alternative methods Sadahiro, Yukio Journal of Geographical Systems, Vol. 1, Issue 4 https://doi.org/10.1007/s101090050017	journal	December 1999
Downscaling population and urban land use for socio-economic scenarios in the UK Merkle, Magnus; Alexander, Peter; Brown, Calum Regional Environmental Change, Vol. 22, Issue 3 https://doi.org/10.1007/s10113-022-01963-7	journal	August 2022
European Regional Populations: Current Trends, Future Pathways, and Policy Options Rees, Philip; van der Gaag, Nicole; de Beer, Joop European Journal of Population / Revue européenne de Démographie, Vol. 28, Issue 4 https://doi.org/10.1007/s10680-012-9268-z	journal	September 2012
Analyzing urbanization data using rural–urban interaction model and logistic growth model Hsieh, Shun-Chieh Computers, Environment and Urban Systems, Vol. 45 https://doi.org/10.1016/j.compenvurbsys.2014.01.002	journal	May 2014
Landscape metrics regularly outperform other traditionally-used ancillary datasets in dasymetric mapping of population Wan, Heng; Yoon, Jim; Srikrishnan, Vivek Computers, Environment and Urban Systems, Vol. 99 https://doi.org/10.1016/j.compenvurbsys.2022.101899	journal	January 2023
Long-term economic modeling for climate change assessment Chen, Y. -H. Henry; Paltsev, Sergey; Reilly, John M. Economic Modelling, Vol. 52 https://doi.org/10.1016/j.econmod.2015.10.023	journal	January 2016
The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100 Kc, Samir; Lutz, Wolfgang Global Environmental Change, Vol. 42 https://doi.org/10.1016/j.gloenvcha.2014.06.004	journal	January 2017
The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century O’Neill, Brian C.; Kriegler, Elmar; Ebi, Kristie L. Global Environmental Change, Vol. 42 https://doi.org/10.1016/j.gloenvcha.2015.01.004	journal	January 2017
The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview Riahi, Keywan; van Vuuren, Detlef P.; Kriegler, Elmar Global Environmental Change, Vol. 42 https://doi.org/10.1016/j.gloenvcha.2016.05.009	journal	January 2017
Defining neighborhood boundaries: Are census tracts obsolete? Clapp, John M.; Wang, Yazhen Journal of Urban Economics, Vol. 59, Issue 2 https://doi.org/10.1016/j.jue.2005.10.003	journal	March 2006
Dasymetric mapping of urban population in China based on radiance corrected DMSP-OLS nighttime light and land cover data Li, Xiaoma; Zhou, Weiqi Science of The Total Environment, Vol. 643 https://doi.org/10.1016/j.scitotenv.2018.06.244	journal	December 2018
High-resolution population estimation using household survey data and building footprints Boo, Gianluca; Darin, Edith; Leasure, Douglas R. Nature Communications, Vol. 13, Issue 1 https://doi.org/10.1038/s41467-022-29094-x	journal	March 2022
Provincial and gridded population projection for China under shared socioeconomic pathways from 2010 to 2100 Chen, Yidan; Guo, Fang; Wang, Jiachen Scientific Data, Vol. 7, Issue 1 https://doi.org/10.1038/s41597-020-0421-y	journal	March 2020
Dasymetric population mapping based on US census data and 30-m gridded estimates of impervious surface Swanwick, Rachel H.; Read, Quentin D.; Guinn, Steven M. Scientific Data, Vol. 9, Issue 1 https://doi.org/10.1038/s41597-022-01603-z	journal	August 2022
Population projections for U.S. counties by age, sex, and race controlled to shared socioeconomic pathway Hauer, Mathew E. Scientific Data, Vol. 6, Issue 1 https://doi.org/10.1038/sdata.2019.5	journal	February 2019
A Framework for the Areal Interpolation of Socioeconomic Data Goodchild, M. F.; Anselin, L.; Deichmann, U. Environment and Planning A: Economy and Space, Vol. 25, Issue 3 https://doi.org/10.1068/a250383	journal	March 1993
Urban adaptation can roll back warming of emerging megapolitan regions Georgescu, M.; Morefield, P. E.; Bierwagen, B. G. Proceedings of the National Academy of Sciences, Vol. 111, Issue 8 https://doi.org/10.1073/pnas.1322280111	journal	February 2014
Population downscaling using high-resolution, temporally-rich U.S. property data Wan, Heng; Yoon, Jim; Srikrishnan, Vivek Cartography and Geographic Information Science, Vol. 49, Issue 1 https://doi.org/10.1080/15230406.2021.1991479	journal	November 2021
A 100 m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints Huang, Xiao; Wang, Cuizhen; Li, Zhenlong Big Earth Data, Vol. 5, Issue 1 https://doi.org/10.1080/20964471.2020.1776200	journal	July 2020
Population scenarios for U.S. states consistent with shared socioeconomic pathways Jiang, Leiwen; O’Neill, Brian C.; Zoraghein, Hamidreza Environmental Research Letters, Vol. 15, Issue 9 https://doi.org/10.1088/1748-9326/aba5b1	journal	September 2020
Dasymetric Mapping Using High Resolution Address Point Datasets: Dasymetric Mapping Using High Resolution Address Point Datasets Zandbergen, Paul A. Transactions in GIS, Vol. 15 https://doi.org/10.1111/j.1467-9671.2011.01270.x	journal	June 2011
Dasymetric Mapping for Estimating Population in Small Areas: Dasymetric mapping for estimating population in small areas Mennis, Jeremy Geography Compass, Vol. 3, Issue 2 https://doi.org/10.1111/j.1749-8198.2009.00220.x	journal	February 2009
World population stabilization unlikely this century Gerland, P.; Raftery, A. E.; ev ikova, H. Science, Vol. 346, Issue 6206 https://doi.org/10.1126/science.1257469	journal	September 2014
Sea-Level Rise and Storm Surges Brecht, Henrike; Dasgupta, Susmita; Laplante, Benoit The Journal of Environment & Development, Vol. 21, Issue 1 https://doi.org/10.1177/1070496511433601	journal	January 2012
Land Use Compounds Habitat Losses under Projected Climate Change in a Threatened California Ecosystem Riordan, Erin Coulter; Rundel, Philip W. PLoS ONE, Vol. 9, Issue 1 https://doi.org/10.1371/journal.pone.0086487	journal	January 2014
Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation Eicher, Cory L.; Brewer, Cynthia A. Cartography and Geographic Information Science, Vol. 28, Issue 2 https://doi.org/10.1559/152304001782173727	journal	January 2001
Comparison of Dasymetric Mapping Techniques for Small-Area Population Estimates Zandbergen, Paul A.; Ignizio, Drew A. Cartography and Geographic Information Science, Vol. 37, Issue 3 https://doi.org/10.1559/152304010792194985	journal	January 2010
Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap Neis, Pascal; Zielstra, Dennis Future Internet, Vol. 6, Issue 1 https://doi.org/10.3390/fi6010076	journal	January 2014
Measuring Completeness of Building Footprints in OpenStreetMap over Space and Time Hecht, Robert; Kunze, Carola; Hahmann, Stefan ISPRS International Journal of Geo-Information, Vol. 2, Issue 4 https://doi.org/10.3390/ijgi2041066	journal	November 2013
A New Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints Brovelli, Maria; Zamboni, Giorgio ISPRS International Journal of Geo-Information, Vol. 7, Issue 8 https://doi.org/10.3390/ijgi7080289	journal	July 2018
Dasymetric Mapping of Population Using Land Cover Data in JBNERR, Puerto Rico during 1990–2010 Cartagena-Colón, Marianne; Mattei, Hernando; Wang, Chao Land, Vol. 11, Issue 12 https://doi.org/10.3390/land11122301	journal	December 2022
U.S. State-level Projections of the Spatial Distribution of Population Consistent with Shared Socioeconomic Pathways Zoraghein, Hamidreza; O’Neill, Brian C. Sustainability, Vol. 12, Issue 8 https://doi.org/10.3390/su12083374	journal	April 2020

Similar Records

IM3 SELECT Urbanization Data

Dataset · Fri Sep 16 00:00:00 EDT 2022 · OSTI ID:1887521

Related Subjects

99 GENERAL AND MISCELLANEOUS
Microsoft building footprints
USA Structures
areal interpolation
population downscaling

Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset

Citation Formats

References (35)

Similar Records

Related Subjects