Exploring nationally and regionally defined models for large area population mapping

International Journal of Digital Earth

Volumn 8, Issue 12, 2015, Pages 989-1006

  Gaughan, A E ^a   Stevens, F R ^a   Linard, C ^b   Patel, N N ^c   Tatem, A J ^d,e,f  

^a UNIVERSITY OF LOUISVILLE   (United States)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^c GEORGE MASON UNIVERSITY   (United States)

^d UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^e NATIONAL INSTITUTES OF HEALTH   (United States)

^f FLOWMINDER FOUNDATION   (Sweden)

Author keywords

dasymetric mapping; gridded population datasets; human population modeling; random forest regression

Indexed keywords

DECISION TREES; POPULATION DISTRIBUTION; SURVEYS;

COMPUTATIONAL POWER; DENSITY SURFACES; GRIDDED POPULATION DATASETS; HUMAN POPULATION; PARAMETERIZED MODEL; POPULATION DENSITIES; SPATIAL RESOLUTION; TEMPORAL AND SPATIAL SCALE;

POPULATION STATISTICS;

ACCURACY ASSESSMENT; CENSUS; DATA SET; DEMOGRAPHIC SURVEY; GIS; MODEL TEST; MODEL VALIDATION; PARAMETERIZATION; POPULATION DISTRIBUTION; SPATIAL ANALYSIS; SPATIAL DATA; SPATIAL RESOLUTION;

EAST AFRICA; SOUTHEAST ASIA;

EID: 84955212353     PISSN: 17538947     EISSN: 17538955     Source Type: Journal    
DOI: 10.1080/17538947.2014.965761     Document Type: Article

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