<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Existing resources of population data, provided by national censuses in the form of areal aggregates, have usually insufficient resolution for many practical applications. Dasymetric modelling has been a standard technique to disaggregate census aggregates into finer grids. Although dasymetric modelling of population distribution is well-established, most literature focuses on proposing new variants of the technique, while only few are devoted to developing broad-scale population grids that could be used for real-life applications. This paper reviews literature on construction of broad-scale population grids using dasymetric modelling. It also describes an R implementation of fully automated framework to calculate such grids from aggregated data provided by national censuses. The presented implementation has been used to produce high resolution, multi-year comparable, U.S.-wide population datasets that are the part of the SocScape (Social Landscape) project.</p></abstract>

Existing resources of population data, provided by national censuses in the form of areal aggregates, have usually insufficient resolution for many practical applications. Dasymetric modelling has been a standard technique to disaggregate census aggregates into finer grids. Although dasymetric modelling of population distribution is well-established, most literature focuses on proposing new variants of the technique, while only few are devoted to developing broad-scale population grids that could be used for real-life applications. This paper reviews literature on construction of broad-scale population grids using dasymetric modelling. It also describes an R implementation of fully automated framework to calculate such grids from aggregated data provided by national censuses. The presented implementation has been used to produce high resolution, multi-year comparable, U.S.-wide population datasets that are the part of the SocScape (Social Landscape) project.

Dasymetric Modelling of Population Distribution – Large Data Approach

Department of Geoinformation, Institute of Geoecology and Geoinformation

Quaestiones Geographicae

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Dasymetric Modelling of Population Distribution \u2013 Large Data Approach"}

Existing resources of population data, provided by national censuses in the form of areal aggregates, have usually insufficient resolution for many practical...

Dasymetric Modelling of Population Distribution – Large Data Approach

Publié en ligne: 29 mars 2019

Pages: 15 - 27

Reçu: 04 janv. 2019

DOI: https://doi.org/10.2478/quageo-2019-0008

Mots clés
population grids, dasymetric modelling, R

© 2019 Anna Dmowska, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Dasymetric Modelling of Population Distribution – Large Data Approach

Publié en ligne: 29 mars 2019

Pages: 15 - 27

Reçu: 04 janv. 2019

DOI: https://doi.org/10.2478/quageo-2019-0008

Mots cléspopulation grids, dasymetric modelling, R

© 2019 Anna Dmowska, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
population grids, dasymetric modelling, R