Autokorelasi Spasial untuk Identifikasi Pola Hubungan Kemiskinan di Jawa Timur
DOI:
https://doi.org/10.21512/comtech.v3i1.2404Keywords:
spatial autocorrelation, moran's I, LISA, povertyAbstract
Spatial autocorrelation is a spatial analysis to determine the relationship pattern or correlation among some locations (observation). On the poverty case of East Java, this method will provide important information for analyze the relationship of poverty characteristics in each district or cities. Therefore, in this research performed spatial autocorrelation analysis on the data of East Java’s poverty. The method used is moran's I test and Local Indicator of Spatial Autocorrelation (LISA). The analysis showed that by the moran's I test, there is spatial autocorrelation found in the percentage of poor people amount in East Java, both in 2006 and 2007. While by LISA, obtained the conclusion that there is a significant grouping of district or cities.
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References
Anselin, Luc & Rey, Sergio J. (2010). Perspectives on Spatial Data Analysis. New york: Springer.
Badan Pusat Statistik Jawa Timur. (2012). Profil Kemiskinan di Jawa Timur September 2011. Surabaya: BPS Provinsi Jawa Timur
Bekti, R. B. & Sutikno. (2010). Permodelan spasial pada hubungan antara aset kehidupan masyarakat jawa timur dalam memenuhi kebutuhan pangan terhadap kemiskinan. Seminar Nasional Pasca Sarjana X. Surabaya: Pasca Sarjana Institut Teknologi Sepuluh Nopember. hal. VI-38.
Kissling, W. D. dan Carl, G. (2008). Spatial autocorrelation and the selection of simultaneous autoregressive models. Global Ecology and Biogeography, 17, 59–71.
Lee, J. dan Wong, D. W. S. (2001). Statistical Analysis with Arcview GIS. New York: John Wiley and Sons.
Okwi, P.O., Ndeng’e G, Kristjanson, P., Arunga, M., Notenbaert, A., Omolo, A., Henninger, N., Benson, T., Kariuki, P., & Ownor, J. (2007). Spatial determinants of poverty in rural Kenya. Diakses 1 November 2011 dari www.pnas.org_cgi_doi_10.1073_pnas.0611107104
Perobelli, F. S., dan Haddad, E. (2003). Brazilian Interregional Trade (1985-1996): An Exploratory Spatial Data Analysis. Diakses 10 Januari 2011 dari http://www.anpec.org.br/encontro2003/artigos/E18.pdf.
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