Network Spatial Autocorrelation
Network Spatial Autocorrelation is a spatial statistical measure that quantifies the degree to which related observations on a network exhibit similar values at neighboring locations, distinguished from planar spatial autocorrelation by accounting for connectivity and distance along network pathways rather than Euclidean space.
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3.4K
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183
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107
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2017–2026
30
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Spatio-temporal autocorrelation of road network data
Tao Cheng, James Haworth, Jiaqiu Wang · Journal of Geographical Systems · 2011 · 169 citations
Computing, Geography, Geoinformatics +14
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Northwestern University
Evanston, United States
5 h-index
5 publications
301 citations
The University of Texas at Dallas
Richardson, United States
4 h-index
6 publications
582 citations

Peking University
Beijing, China
4 h-index
7 publications
416 citations
Texas A&M University
College Station, United States
3 h-index
3 publications
110 citations
University College London
London, United Kingdom
3 h-index
10 publications
943 citations
University of California, Irvine
Irvine, United States
3 h-index
6 publications
646 citations

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
65 citations

Baylor University
Waco, United States
2 h-index
1 publications
28 citations
1–8 of 107
5 publications · 416 citations
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3 publications · 217 citations
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3 publications · 140 citations
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