On the other hand, the mapping of social conditions in the society needed for the governments’ programs right on target.
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Comprehensive data presentation up until sub-district level or rural/urban village is not possible since it will need time and cost. Survey and census obtained from a specific range of duration and usually presented in a province or regency/city level with a classification of urban and rural areas. The mapping method is constantly improving along with using social statistic to balance the lack of mapping which carried out conventionally using census and survey data. Classes of data classification results is one of the support to help in understanding map usage. Good decision making based on maps requires great understanding however not all fields of studies are familiar with map usage. All field of studies requires effective data presentation to make a decision.
![video membuat data penduduk menggunakan ms access 2007 video membuat data penduduk menggunakan ms access 2007](https://1.bp.blogspot.com/-ZhxFul19YuU/WWdZSQFUcSI/AAAAAAAAEEw/OhIYCndaMUYL6gKqGbqxPytJN9Cu70eiQCLcBGAs/s1600/03.png)
Requirements in delivering information in the form of maps are higher in various fields of studies. This research shows three different things in representing social data. This supports the geographic idea that claims the physical surface of the earth affects social activities and vice versa. The geo-visualization of social data has its primacy in studies that could be integrated with the physical surface of the earth. Social statistics could be visualized to ease the process of spatial analysis data that considers the spatial surface of the earth. Geo-visualization is data visualization represented in a geographic coordinate system. Statistics for large numbers of social data will make it difficult to interpret and analyze because it consists of many columns and rows with each value. In Indonesia, data about social use of statistical data. A pattern of social activities has an impact on economic activities especially on the income sector for daily essentials. Community social activities would be varied according to their culture. Indonesia is a broad country which has various ethnic groups and cultures. The results obtained are population maps with best classification scheme, happiness maps at different scale levels, and tourist map using space time cube in Yogyakarta Special Region.
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In social media geo-visualization for tourists using space time cube geo-visualization with hexagonal tessellation cells. Geo-visualization of population and happiness used choropleth method. Secondary data used are population and happiness, while primary data uses social media data for tourist visualization. This study aims to (1) Select, test and find out color symbol scheme most effective classification method for choropleth mapping of Demographic Map, (2) Mapping happiness profile of population using small area estimation method, (3) Analyzing tourist trends based on Instagram data using space time cube visualization. Study area is in Special Region of Yogyakarta. Socio-economic statistics can be visualized to facilitate the process of spatial analysis data that considers spatial surface of earth. Geo-visualization is a visualization of data represented in a geographic coordinate system.
![video membuat data penduduk menggunakan ms access 2007 video membuat data penduduk menggunakan ms access 2007](https://www.researchgate.net/profile/Jako-Olivier/publication/336134249/figure/tbl2/AS:808743138770949@1569830798517/Types-of-Video-and-Submission-Methods.png)
Statistics for large numbers of socioeconomics will make it difficult to interpret and analyze because it consists of many columns and rows with each value. Data related to socio-economic activities in Indonesia mostly used statistical data.