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Predicting potential development for land areas in Perak, Malaysia using spatial data technique

机译:使用空间数据技术预测马来西亚霹雳州陆地区域的潜在发展

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Predicted size and spatial distribution of future population are crucial drivers of development growth and critical determinants for the development type per se. Population data is a prime example of spatial demographic inputs that can be used to predict land areas development and also assists in effective rural or urban planning. Data can be collected by various individuals or different teams with a variety of technologies and assumptions over a period span. As a result, they may contain a great many redundancies, duplicates, and inconsistencies. By using Geographic Information System (GIS), data can be more organized and processed to produce a more desirable result. The spatial data technique will be applied in the system by plotting the geocoordinates on the map of Perak state according to the districts being analyzed. Every district contains information of the predicted potential development with the population data for the year 2020. The prediction will be based on an exponential model where population data is processed. This information is displayed in an informative way via visualization of data using the Data Driven Document (D3) tool. It gives users a dynamic display function to select the area that will show the relevant information. Therefore, it is expected that the development of rural areas can be planned more efficiently in the future.
机译:未来人口的预测规模和空间分布是发展增长的关键驱动力,也是决定发展类型本身的关键决定因素。人口数据是空间人口统计输入的一个典型例子,可用于预测土地面积的发展,并有助于有效的农村或城市规划。在一段时间内,可以由各种个人或不同的团队使用各种技术和假设来收集数据。结果,它们可能包含很多冗余,重复和不一致。通过使用地理信息系统(GIS),可以更组织和处理数据以产生更理想的结果。通过根据所分析的地区在霹雳州的地图上绘制地理坐标来将空间数据技术应用到系统中。每个地区都包含2020年人口数据的预测潜在发展信息。该预测将基于处理人口数据的指数模型。使用数据驱动文档(D3)工具以可视化方式通过信息可视化方式显示此信息。它为用户提供了动态显示功能,可以选择显示相关信息的区域。因此,期望将来可以更有效地规划农村地区的发展。

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