Autokorelasi Spasial untuk Identifikasi Pola Hubungan Kemiskinan di Jawa Timur

作者: Rokhana Dwi Bekti

DOI: 10.21512/COMTECH.V3I1.2404

关键词:

摘要: Spatial autocorrelation is a spatial analysis to determine the relationship pattern or correlation among some locations (observation). On poverty case of East Java, this method will provide important information for analyze characteristics in each district cities. Therefore, research performed on data Java’s poverty. The used moran's I test and Local Indicator Autocorrelation (LISA). showed that by test, there found percentage poor people amount both 2006 2007. While LISA, obtained conclusion significant grouping

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