Identifikasi Autokorelasi Spasial Angka Partisipasi Sekolah di Provinsi Sulawesi Selatan Menggunakan Indeks Moran
| Main Author: | LUTFI, ASMA |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.unm.ac.id/13969/1/Artikel%20ASMA%20LUTFI.pdf http://eprints.unm.ac.id/13969/ |
Daftar Isi:
- Abstract The Moran Index and Local Indicator of Spatial Association (LISA) are methods used to identify spatial autocorrelation. Spatial autocorrelation itself is defined as the correlation between variables with themselves based on space or can also be interpreted as a measure of the similarity of objects in a space (distance, time and region). The data used in this study are data on School Participation Rates in South Sulawesi Province in 2017. The results of the analysis that have been carried out explained that there is no statistical spatial autocorrelation in statistics on School Participation Rates for all three levels of education. However, testing of local spatial autocorrelation revealed that Wajo District identified statistical spatial autocorrelation occurring statistically at the Elementary schools and Palopo City education levels, where statistical local spatial autocorrelation was identified in the senior high school. © 2019 Author(s). Published by Department of Statistics, Universitas Negeri Makassar. All rights reserved. Keywords: Spatial Autocorrelation, Moran Index, Local Indicator of Spatial Association (LISA), School Participation Rates.