Aswi, Aswi and Cramb, Susanna and Duncan, Earl and Mengersen, Kerrie L. (2021) Detecting Spatial Autocorrelation for a Small Number of Areas: a practical example. Journal of Physics: Conference Series. pp. 1-8.
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Abstract
Moran's I is commonly used to detect spatial autocorrelation in spatial data. However, Moran's I may lead to underestimating spatial dependence when used for a small number of areas. This led to the development of Modified Moran’s I, which is designed to work when there are few areas. In this paper, both methods will be presented. Many R programs enable calculating Moran's I, but to date, none have been available for calculating Modified Moran's I. This paper aims to present both methods and provide the R code for calculating Modified Moran's I, with an application to a case study of dengue fever across 14 regions in Makassar, Indonesia.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Moran's I, Modified Moran’s I, Spatial Autocorrelation, R Program |
| Subjects: | FMIPA > STATISTIKA - (S1) FMIPA KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN |
| Divisions: | KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN |
| Depositing User: | Dr. Aswi Aswi |
| Date Deposited: | 05 Oct 2021 06:44 |
| Last Modified: | 28 Nov 2022 03:23 |
| URI: | http://eprints.unm.ac.id/id/eprint/21184 |
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