Dasymetric Interpolation
Dasymetric Interpolation is a spatial interpolation method that refines the distribution of population within administrative units by incorporating ancillary geographic data to constrain and redistribute estimates according to observed land-use or land-cover patterns.
30
Publications
2.7K
Citations
66
Authors
43
Institutions
Publications per year
2017–2026
8
Parents
30
1–5 of 30
66
4
h-index
4
h-index
3
h-index
2
h-index
2
h-index
1–5 of 66
43
University of Colorado Boulder
Boulder, United States
4 h-index
8 publications
168 citations
University of Connecticut
Storrs, United States
3 h-index
7 publications
230 citations

University of Louisville
Louisville, United States
2 h-index
2 publications
48 citations

University of Leicester
Leicester, United Kingdom
2 h-index
4 publications
644 citations

University of South Wales
Pontypridd, United Kingdom
2 h-index
2 publications
171 citations

University of Helsinki
Helsinki, Finland
2 h-index
8 publications
507 citations
Helsinki Institute of Physics
Helsinki, Finland
1 h-index
1 publications
60 citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
1 h-index
4 publications
68 citations
1–8 of 43
7 publications · 1.4K citations
7
h-index
5 publications · 425 citations
5
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3 publications · 86 citations
3
h-index
2 publications · 115 citations
2
h-index
2 publications · 55 citations
2
h-index
1–5