Point Pattern Autocorrelation
Point Pattern Autocorrelation is a spatial statistical method that quantifies the degree to which the arrangement of point locations in space exhibits non-random clustering or dispersion patterns based on the spatial dependence among nearest neighbors.
25
Publications
5.4K
Citations
39
Authors
20
Institutions
Publications per year
2017–2026
2
Parents
25
Statistical Analysis of Spatial Point Patterns
Jürgen Symanzik · Technometrics · 2005 · 564 citations
Computing, Geoinformatics, Geographic Information Science +9
1–5 of 25
39
5
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 39
20
University of Connecticut
Storrs, United States
1 h-index
2 publications
68 citations
University of Agricultural and Horticultural Sciences
Shivamogga, India
1 h-index
4 publications
108 citations

Imperial College London
London, United Kingdom
1 h-index
1 publications
10 citations

University of Sannio
Benevento, Italy
1 h-index
1 publications
17 citations
Inserm
Paris, France
1 h-index
2 publications
54 citations
Central Plantation Crops Research Institute
Kāsaragod, India
1 h-index
3 publications
81 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
40 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
2 publications
52 citations
1–8 of 20
3 publications · 938 citations
3
h-index
2 publications · 311 citations
2
h-index
1 publications · 16 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 96 citations
1
h-index
1–5