Enhancing the Intelligence of Statistical Areal Data Analysis and Visualization: Quality and Spatial Statistics Perspectives

碩士 === 國立成功大學 === 測量及空間資訊學系 === 105 === Creating an area by spatial partitioning to describe local phenomena is a common skill in the geographic information system (GIS), and past statistics publish in the district regularly.With the development of GIS and geocoding services, the individual data can...

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Bibliographic Details
Main Author: 歐采瑀
Other Authors: Jung-Hong Hong
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/5hy486
Description
Summary:碩士 === 國立成功大學 === 測量及空間資訊學系 === 105 === Creating an area by spatial partitioning to describe local phenomena is a common skill in the geographic information system (GIS), and past statistics publish in the district regularly.With the development of GIS and geocoding services, the individual data can be located accurately. Therefore, the statistical data class is no longer limited to the administrative district, but also meticulous to the small statistical area, called “statistical areal data”. Therefore, the study proposes “intelligent statistical areal data operation mechanism”, through the intelligent integration system to establish statistical areal data accurately with professional procedures. Data producers complete statistical areal data automatically via uploading individual data through the system. The process of producing statistical areal data not only reduce the spatial operating threshold but also contain enhanced-quality indicators to providing a correct interpretation and visualization analysis of geographical inequality. The results of the statistical areal data named by identification information standards that the study proposed. This operational mechanism can correctly link different fields of data and provide different statistical areal map visualization from the traditional.