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Using neighborhood association area as new spatial data infrastructure to link public administrative data with GIS in Indonesia

机译:使用邻里关联区域作为新的空间数据基础架构,以将公共行政数据与印度尼西亚的GIS链接起来

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Despite its potential use for earth observation and GIS-based analysis, Public Administrative Database (PAD) has been neglected in the spatial big data discussions. For instance, linking unaggregated public databases to the smallest administrative units for mining spatial data currently absents from literatures. In this study, a neighbourhood association base map was developed and the usability as a platform for linking PAD in Indonesia was investigated. The base map is proposed as a new feature in the Indonesia’s SDI. A data model was developed, and data accuracy and reliability were assessed by a case study. Four unaggregated databases obtained from public institutions were examined using common structured query language. The results show that from 1.3 million records, more than 95% can be directly linked to the base map. Finally, it is concluded that despite existence of challenges, linking PAD with the base map is feasible and beneficial for GIS-based analysis.
机译:尽管其潜在用途可用于地球观测和基于GIS的分析,但公共行政数据库(PAD)在空间大数据讨论中一直被忽略。例如,将未聚合的公共数据库链接到用于挖掘空间数据的最小管理单位,而文献目前尚无。在这项研究中,开发了一个邻里协会基础图,并研究了用作连接印度尼西亚PAD的平台的可用性。建议将底图作为印度尼西亚SDI的新功能。开发了数据模型,并通过案例研究评估了数据的准确性和可靠性。使用公共结构化查询语言检查了从公共机构获得的四个未汇总的数据库。结果表明,从130万条记录中,超过95%的记录可以直接链接到基本地图。最后,得出的结论是,尽管存在挑战,但将PAD与底图链接是可行的,并且对基于GIS的分析是有益的。

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