Spatial Patterns of Poverty in Central-Java Province

Susanto, Irwan and Sulandari, Winita and Winarno, Bowo (2011) Spatial Patterns of Poverty in Central-Java Province. International Conference on Informatics for Development. ISSN 2088-5520

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    overty is one of the key issues in development program of Indonesia government. Poverty can be caused by geographical factors, namely the natural conditions, such as climate, density of forest, etc. Therefore, poverty problem tend to be spatially dependent. Spatial dependence is the propensity for nearby locations to influence each other and to possess similar attributes. A measure of the similarity of attributes of locations is called spatial autocorrelation. Spatial autocorrelation measure and analyze the degree of dependency among observations in a geographic space This paper examines spatial patterns of poverty in Central Java Province with spatial autocorrelation using spatial analysis open source software. Through open source software OpenGeoDa, it can be shown that the poverty of certains districts in Central Java Province have significantly spatial autocorrelation and there are some spatial cluster poverty in Central Java which are spatial influenced by density of forest as geographical factor. Keywords : Spatial pattern, Poverty, Central-Java, Spatial Autocorrelation

    Item Type: Article
    Subjects: Q Science > QA Mathematics
    Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam > Matematika
    Depositing User: mr azis r
    Date Deposited: 20 May 2013 19:29
    Last Modified: 20 May 2013 19:29

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