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长期以来,由于缺乏合适的空间数据采集、管理、分析和显示工具,使流行病学研究难以获得与疾病分布有关的空间和属性资料;同时由于空间多维数据处理的复杂性,使对图形数据与属性数据的相关分析难以深入,尤其是涉及大范围、多因素的时空动态研究。近年来迅速发展的遥感(remote se
For a long time, due to the lack of suitable tools for spatial data acquisition, management, analysis and display, it is difficult for epidemiological studies to obtain spatial and attribute information related to disease distribution. At the same time, due to the complexity of spatial multidimensional data processing, Correlation analysis of attribute data is difficult to go deep, especially involving large-scale, multi-factor temporal and spatial dynamics. In recent years, the rapid development of remote sensing (remote se