Dasymetric Mapping for Estimating Population in Small Areas

Bibliographic Data

ID5877459
AuthorsJeremy Mennis (0000-0001-6319-8622, Temple College, corresponding author)
Year2009
Volume3
Issue2
Pages727-745
Publication date2009-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGeography Compass (JOURNAL)
Journal identifiersISSN: 1749-8198 • E-ISSN: 1749-8198
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1749-8198.2009.00220.x
OpenAlexW2039474137
LanguageEN
Citations received34
References cited47

A dasymetric map depicts a statistical surface, most commonly population density, as a set of simply connected regions, such that variation within each region is minimized and the region boundaries approximate the steepest escarpments of the surface. Dasymetric mapping has its roots in early thematic mapping of population, but has recently been taken up by researchers focusing on areal interpolation and population estimation using remote sensing. The process of dasymetric mapping typically involves the disaggregation of population data encoded in choropleth map form using an ancillary spatial data set, most commonly either an area-class map or satellite image. The functional relationship between the ancillary data and the statistical surface being mapped may be specified a priori by the researcher or estimated using a variety of statistical techniques. Challenges facing dasymetric mapping research include handling spatio-temporal data and the development of standardized and accessible methods

Ancillary data · Cartography · Data set · Geography · Population · Remote sensing · Satellite imagery · Thematic map · Thematic Mapper · Computer Science · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Artificial Intelligence