Dasymetric Mapping for Estimating Population in Small Areas

Dados Bibliográficos

ID5877459
AutoresJeremy Mennis (0000-0001-6319-8622, Temple College, autor correspondente)
Ano2009
Volume3
Fascículo2
Páginas727-745
Data de publicação2009-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoGeography Compass (JOURNAL)
Identificadores do periódicoISSN: 1749-8198 • E-ISSN: 1749-8198
EditoraWiley (PUBLISHER • GB)
DOI10.1111/j.1749-8198.2009.00220.x
OpenAlexW2039474137
IdiomaEN
Citações recebidas34
Referências citadas47

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