Geospatial Dimensionality Reduction
Geospatial Dimensionality Reduction is a methodological framework within geospatial feature engineering that reduces the number of redundant or irrelevant spatial and attribute dimensions in geospatial data while preserving essential geographic patterns and relationships.
16
Publications
453
Citations
66
Authors
47
Institutions
Publications per year
2017–2026
11
16
Luca Demarchi, Frank Canters, Claude Cariou et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2013 · 62 citations
Miguel D. Mahecha, Alfredo Martı́nez, Gunnar Lischeid et al. · Ecological Informatics · 2007 · 57 citations
Latent geographic feature extraction from social media
Christian Sengstock, Michael Gertz · 2012 · 38 citations
Computing, Geography, Geoinformatics +17
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47

Centro de Investigación Científica y de Educación Superior de Ensenada
Ensenada, Mexico
1 h-index
5 publications
55 citations
National University of Santiago del Estero
Santiago del Estero, Argentina
1 h-index
1 publications
18 citations
Royal Saskatchewan Museum
Regina, Canada
1 h-index
1 publications
32 citations
Bunge & Born Foundation
Buenos Aires, Argentina
1 h-index
2 publications
36 citations

Consejo Nacional de Investigaciones Científicas y Técnicas
Buenos Aires, Argentina
1 h-index
1 publications
18 citations
University of Bayreuth
Bayreuth, Germany
1 h-index
4 publications
228 citations
Heilongjiang Provincial Academy of Agricultural Sciences
Mudanjiang, China
1 h-index
1 publications
24 citations
Rocky Mountain Research (United States)
Salt Lake City, United States
1 h-index
2 publications
132 citations
1–8 of 47
2 publications · 56 citations
2
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1 publications · 62 citations
1
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1 publications · 11 citations
1
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1 publications · 27 citations
1
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1 publications · 57 citations
1
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1–5