Geospatial Population Interpolation
Geospatial Population Interpolation is a geospatial modeling technique that estimates population distributions across continuous geographic space by assigning population counts to spatial units or locations based on spatially referenced auxiliary data and statistical or machine learning methods.
23
Publications
2.3K
Citations
41
Authors
30
Institutions
Publications per year
2017–2026
1
Parents
23
World population in a grid of spherical quadrilaterals
Waldo Tobler, Uwe Deichmann, Jon Gottsegen et al. · International Journal of Population Geography · 1997 · 154 citations
1–5 of 23
41
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University of California, Santa Barbara, United States
2 publications · 149 citations
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2
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2
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2
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1–5 of 41
30
University of California, Santa Barbara
Santa Barbara, United States
6 h-index
10 publications
1.4K citations
United Nations
New York, United States
2 h-index
2 publications
169 citations
California State Polytechnic University
Pomona, United States
2 h-index
3 publications
403 citations
Florida Atlantic University
Boca Raton, United States
2 h-index
2 publications
73 citations
Environmental Systems Research Institute (United States)
Redlands, United States
2 h-index
2 publications
169 citations
Kenya Medical Research Institute
Nairobi, Kenya
1 h-index
2 publications
336 citations
Florida State University
Tallahassee, United States
1 h-index
1 publications
79 citations

University of Leicester
Leicester, United Kingdom
1 h-index
2 publications
400 citations
1–8 of 30
3 publications · 368 citations
3
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IJPG · 2 publications · 169 citations
2
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2 publications · 64 citations
2
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2 publications · 766 citations
2
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2 publications · 57 citations
2
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1–5