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Geary's c for Multivariate Spatial Data.
- Source :
-
Mathematics (2227-7390) . Jun2024, Vol. 12 Issue 12, p1820. 12p. - Publication Year :
- 2024
-
Abstract
- Geary's c is a prominent measure of spatial autocorrelation in univariate spatial data. It uses a weighted sum of squared differences. This paper develops Geary's c for multivariate spatial data. It can describe the similarity/discrepancy between vectors of observations at different vertices/spatial units by a weighted sum of the squared Euclidean norm of the vector differences. It is thus a natural extension of the univariate Geary's c. This paper also develops a local version of it. We then establish their properties. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22277390
- Volume :
- 12
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- Mathematics (2227-7390)
- Publication Type :
- Academic Journal
- Accession number :
- 178195249
- Full Text :
- https://doi.org/10.3390/math12121820