Cell-Based Spatial Analysis is a computational methodology within raster modeling that analyzes spatial patterns and processes through a grid of regularly spaced cells, each representing a discrete location with associated attribute values, thereby enabling localized and systematic examination of geographic phenomena.
17
Publications
992
Citations
67
Authors
35
Institutions
Publications per year
2017–2026
3
Variants
Raster-based Spatial Analysis
Parents
Publications
17
1–5 of 17
Authors
67
- SG
1
h-index
- HP
1
h-index
- NW
1
h-index
- TZ
1
h-index
- GW
1
h-index
1–5 of 67
Institutions
35
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
29 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
3 publications
75 citations
Stony Brook University
Stony Brook, United States
1 h-index
1 publications
49 citations
Washington University in St. Louis
St Louis, United States
1 h-index
2 publications
58 citations
KWR Water Research Institute
Nieuwegein, The Netherlands
1 h-index
2 publications
48 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
28 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
39 citations
Lund University
Lund, Sweden
1 h-index
1 publications
25 citations
1–8 of 35
Venues
- Information Sciences
2 publications · 84 citations
2
h-index
- Nature Communications
2 publications · 68 citations
2
h-index
- Frontiers in Neuroinformatics
1 publications · 25 citations
1
h-index
- Methods of Information in Medicine
1 publications · 49 citations
1
h-index
- BMC Neuroscience
1 publications · 25 citations
1
h-index
1–5