On the Four Types of Weight Functions for Spatial Contiguity Matrix
Data Analysis, Statistics and Probability
2018-12-21 v1
Abstract
This is a "spatial autocorrelation analysis" of spatial autocorrelation. I use the 1-dimension spatial autocorrelation function (ACF) and partial autocorrelation function (PACF) to analyze four kinds of weight function in common use for the 2-dimensional spatial autocorrelation model. The aim of this study is at how to select a proper weight function to construct a spatial contiguity matrix for spatial analysis. The scopes of application of different weight functions are defined in terms of the characters of their ACFs and PACFs.
Keywords
Cite
@article{arxiv.1106.0824,
title = {On the Four Types of Weight Functions for Spatial Contiguity Matrix},
author = {Yanguang Chen},
journal= {arXiv preprint arXiv:1106.0824},
year = {2018}
}
Comments
8 pages, 5 figures, 2 tables