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GIS Based Spatialization of Population Data in Meijiang River Basin

机译:基于GIS梅江流域人口数据的时空化

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This paper used GIS spatial analysis and data processing technologies and multi-source data fusion technology to spatialize the population data of Meijiang river basin. Land use was selected as the index factor and the settlements as the indicative factor. Selected terrain, roads and rivers were the main influencing factors and were further classified into several sub-factors. During the simulation, we first calculated the weight indexes of sub-factors on the settlements distribution and then fused the indexes to calculate the weight indexes of the main factors. Second we calculated the weight indexes of settlements on the population distribution. Last we fused the weight indexes of the main factors and the weight indexes of settlements to obtain the population density indexes of whole region and then generated the 100m×100m resolution raster population density map.
机译:本文采用GIS空间分析和数据处理技术和多源数据融合技术,以空间化梅江流域的人口数据。被选中土地使用作为指标因子和定居点作为指示因素。选定的地形,道路和河流是主要的影响因素,进一步分为几个子因素。在模拟期间,我们首先计算了定居点分布上的子因素的权重指标,然后融合了索引来计算主要因素的权重指标。其次,我们计算了人口分布的定居点的重量指标。最后,我们融合了主要因素的重量指标和定居点的重量指标,以获得整个区域的人口密度指标,然后产生100米×100m分辨率的光栅人口密度图。

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