Areal Data Modeling is a spatial statistical framework that characterizes and analyzes aggregated phenomena over partitioned geographic regions, distinguished by its reliance on areal units—such as administrative zones or lattice cells—where data represent summary measures associated with each contiguous or adjacent region rather than point-level observations.
52
Publications
8.1K
Citations
113
Authors
65
Institutions
Publications per year
2017–2026
13
Variants
Lattice Data Modeling
Parents
Publications
52
A two-dimensional interpolation function for irregularly-spaced data
Donald S. Shepard · 1968 · 5K citations
1–5 of 52
Authors
113
- BP
5
h-index
- BD
3
h-index
- OD
3
h-index
- LM
3
h-index
- RPRay P. Cuzzort
3 publications · 207 citations
3
h-index
1–5 of 113
Institutions
65
University of Minnesota
Minneapolis, United States
7 h-index
16 publications
1.8K citations
Universidad Pública de Navarra (UPNA)
Pamplona, Spain
3 h-index
9 publications
171 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
40 citations
Politecnico di Milano
Milan, Italy
2 h-index
4 publications
99 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
2 publications
496 citations
University of Zurich
Zurich, Switzerland
2 h-index
5 publications
128 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
2 publications
39 citations
Florida State University
Tallahassee, United States
2 h-index
3 publications
502 citations
1–8 of 65
Venues
- Geographical Analysis
5 publications · 639 citations
5
h-index
- Spatial Statistics
4 publications · 83 citations
4
h-index
- Biometrics
3 publications · 565 citations
3
h-index
- Statistics in Medicine
2 publications · 106 citations
2
h-index
- Bayesian Analysis
2 publications · 52 citations
2
h-index
1–5