Spatial Autocorrelation Visualization
Spatial Autocorrelation Visualization is a graphical method that represents the degree to which geospatial data values are correlated with one another based on their relative locations, enabling the visual interpretation of spatial clustering patterns and outliers in choropleth maps.
10
Publications
319
Citations
28
Authors
21
Institutions
Publications per year
2017–2026
4
Parents
10
Visualization of the spatial scan statistic using nested circles
Francis P. Boscoe, Colleen C. McLaughlin, Maria J. Schymura et al. · Health & Place · 2003 · 72 citations
Tobler’s Law in a Multivariate World
Luc Anselin, Xun Li · Geographical Analysis · 2020 · 64 citations
1–5 of 10
28
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 28
21

Institut National des Sciences Appliquées de Toulouse
Toulouse, France
1 h-index
1 publications
15 citations
Toulouse School of Economics
Toulouse, France
1 h-index
2 publications
30 citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
15 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
1 h-index
1 publications
15 citations

Federico Santa María Technical University
Valparaíso, Chile
1 h-index
3 publications
36 citations
Michigan State University
East Lansing, United States
1 h-index
1 publications
23 citations
Arizona State University
Tempe, United States
1 h-index
2 publications
46 citations

Zhejiang University
Hangzhou, China
1 h-index
2 publications
46 citations
1–8 of 21
1 publications · 72 citations
1
h-index
1 publications · 26 citations
1
h-index
Repository · 1 publications · 18 citations
1
h-index
1 publications · 12 citations
1
h-index
JGSA · 1 publications · 15 citations
1
h-index
1–5