Aminuddin Anwar
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引用次数: 5

摘要

本研究对爪哇县市的经济和社会变量进行了实证空间分析。本研究中使用的主要变量是经济增长、平均上学时间和预期寿命。基于地理信息系统(GIS)和探索性空间数据分析(ESDA)的估算分析工具。GIS分析是利用分布分位数来绘制社会经济指标的分布图,ESDA分析是利用全球莫兰I统计指标和地方空间关联(LISA)来分析社会经济指标的状况。利用地理信息系统(GIS)对经济发展和人力资本发展的空间分布进行分析,结果显示经济发展和人力资本之间存在不平等的形式。利用moran’si统计对经济发展与全球人力资本的空间格局进行了分析,结果表明,经济发展与全球人力资本的空间格局呈城市和城郊集聚型。利用地方空间关联指数(LISA)对经济发展和人力资本的空间格局进行了分析,结果显示了雅加达、日惹和泗水等城市地区的热点格局和具有农村特征的地区的冷点格局。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KETIMPANGAN SPASIAL PEMBANGUNAN EKONOMI DAN MODAL MANUSIA DI PULAU JAWA: PENDEKATAN EXPLATORY SPATIAL DATA ANALYSIS
This research is an empirical spatial analysis of economic and social variables in the counties and cities in Java. The main variables used in this study is the economic growth, the average length of school and life expectancy. The analysis tool for estimating by using Geographic Information System (GIS) and Explatory Spatial Data Analysis (ESDA). Analysis with GIS is to map the distribution of socio-economic indicators with distribution quantile, while ESDA analyzing the condition of social and economic indicators with the Global Moran's I Statistic Indicator and Local Spatial Association (LISA). The results of the analysis of the spatial distribution of economic and human capital development with Geographical Information System (GIS) showing the form of inequality between economic development and human capital. The results of the analysis of the spatial pattern of economic development and global human capital by moran's i statistic shows the pattern shape clustered in urban and peri-urban areas. The results of the analysis of the spatial pattern of economic development and human capital with a local indicator of spatial association (LISA) shows the shape of the pattern of hot spots in urban areas especially in Jakarta, Yogyakarta and Surabaya and patterns of cold spots in areas that have the characteristics of rural districts.
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