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Thematic Geo-visualization for Social Data Representation in Special Region of Yogyakarta

机译:日惹特区社会数据代表主题地理形象化

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Data related to social activities in Indonesia mostly used statistical data. Statistics for large numbers of social will makeit difficult to interpret and analyze because it consists of many columns and rows with each value. Geo-visualization is avisualization of data represented in a geographic coordinate system. Social statistics could be visualized to ease theprocess of spatial analysis data that considers a spatial surface of the earth. The study area is in the Special Region ofYogyakarta. This study aims to (1) Select, test and find out color symbol scheme most effective classification method forchoropleth mapping of Demographic Map, (2) Mapping happiness profile of population using small area estimationmethod, (3) Analyzing tourist trends based on Instagram data using space-time cube visualization. Secondary data usedare population and happiness, while primary data uses social media data for tourist visualization. Geo-visualization ofpopulation and happiness used the choropleth method. In social media geo-visualization for tourists using space-timecube geo-visualization with hexagonal tessellation cells. The results obtained are population maps with the bestclassification scheme, happiness maps at different scale levels, and tourist map using space-time cube in YogyakartaSpecial Region.
机译:与印度尼西亚社交活动有关的数据主要使用统计数据。大量社会的统计数据它难以解释和分析,因为它由每个值的许多列和行组成。地理可视化是一个在地理坐标系中表示的数据的可视化。可以可视化社会统计数据以缓解空间分析数据的过程,其考虑地球的空间表面。研究区位于特殊地区日惹。本研究旨在(1)选择,测试和找出颜色符号方案最有效的分类方法人口统计地图的芝麻型映射,(2)使用小区估计绘制群体的幸福概况方法,(3)使用时空立方体可视化的基于Instagram数据分析旅游趋势。使用的辅助数据是人口和幸福,而主要数据使用社交媒体数据进行旅游可视化。地理可视化人口和幸福使用了合唱方法。在社交媒体地理形象学,为使用时空游客的游客立方体地理形象化与六边形胸骨细胞细胞。获得的结果是人口地图分类方案,在不同规模级别的幸福地图,以及在日惹中使用时空立方体的旅游地图特区。

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