A Review on Ripley’s K Function in Spatial Analysis

Jaisankar R¹ , Kesavan J²

Section:Review Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.103-107, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.103107

Online published on Apr 30, 2019

Copyright © Jaisankar R, Kesavan J . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Spatial clustering and spatial dependence are the important characteristics of spatial data which are used in methods like disease clustering and spatial dependence in spatial epidemiology. Several procedures like the nearest neighbor method and the quadrat method are developed to contribute these aspects, but the one, called the K- function, developed by Ripley is very significant one on portraying spatial dependence over wide range of scales. This function has salient features both in theory and application. This paper presents a review with reference to the K- function in brief.

Key-Words / Index Term :
Spatial clustering, Spatial dependence, K- Function

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