Easy way to understand the global measures of spatial autocorrelations

Karun, Kalesh M and Puranik, Amitha and Binu, VS (2015) Easy way to understand the global measures of spatial autocorrelations. Research Journal of Mathematical and Statistical Sciences, 3 (6). pp. 10-14. ISSN 2320–6047

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Abstract

Spatial autocorrelation measures the spatial dependency of observations that quantifies the degree of spatial clustering or dispersion in the values of a variable measured across a set of locations. There are two types of spatial autocorrelation measures such as global measures and local measures. In this article we are giving an overview of Moran’s I and Geary’s C (Global measures) along with the steps for manual calculation and R code for the estimation of these measures.

Item Type: Article
Uncontrolled Keywords: Spatial autocorrelation; Moran’s I; Geary’s C; Spatial weight matrix; Moran’s Scatter plot.
Subjects: Departments at MU > Statistics
Depositing User: KMC Manipal
Date Deposited: 01 Jul 2015 04:24
Last Modified: 01 Jul 2015 04:24
URI: http://eprints.manipal.edu/id/eprint/143191

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