Spatial Data Sampling
Spatial Data Sampling is a methodological framework within geospatial data acquisition that systematically selects georeferenced observations from a spatial population to represent spatial patterns, processes, or phenomena while accounting for spatial autocorrelation, heterogeneity, and representativeness.
178
Publications
10.4K
Citations
747
Authors
338
Institutions
Publications per year
2017–2026
44
Parents
178
1–5 of 178
747
4
h-index
3
h-index
3
h-index
Centre Tecnologic de Telecomunicacions de Catalunya, Spain
2 publications · 178 citations
2
h-index
2
h-index
1–5 of 747
338
Goddard Space Flight Center
Greenbelt, United States
11 h-index
27 publications
1.9K citations
Science Systems and Applications (United States)
Lanham, United States
6 h-index
11 publications
611 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
20 publications
7.4K citations
Jet Propulsion Laboratory
Pasadena, United States
5 h-index
11 publications
491 citations
University of Maryland, College Park
College Park, United States
5 h-index
9 publications
735 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
15 publications
664 citations
Wageningen University & Research
Wageningen, The Netherlands
4 h-index
7 publications
1K citations
United States Geological Survey
Reston, United States
3 h-index
3 publications
164 citations
1–8 of 338
9 publications · 293 citations
9
h-index
4 publications · 211 citations
4
h-index
JGR · 4 publications · 444 citations
4
h-index
4 publications · 348 citations
4
h-index
3 publications · 96 citations
3
h-index
1–5