Full Citation

Title: Dasymetric Modelling of Population Distribution – Large Data Approach

Citation Type: Journal Article

Publication Year: 2019

ISBN:

ISSN: 2081-6383

DOI: 10.2478/quageo-2019-0008

NSFID:

PMCID:

PMID:

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.

Url: https://content.sciendo.com/view/journals/quageo/38/1/article-p15.xml

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Authors: Dmowska, Anna

Periodical (Full): Quaestiones Geographicae

Issue: 1

Volume: 38

Pages: 15-27

Data Collections: IPUMS NHGIS

Topics: Population Data Science

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