GIS应用在疾病领域方面发展迅速,为其提供可靠的空间统计分析方法,其疾病制图实现了疾病数据的可视化。本文以肺结核数据为例,进行了空间聚集分析、时间序列分析及时空扫描统计分析,分析疾病的时空聚集状态,寻找高发病率区域,分析结果可为医疗卫生部门在疾病监测预警、资源分配等方面提供科学参考。 GIS applications are rapidly evolving in the field of disease, providing them with reliable spatial statistical analysis methods, and their disease mapping enables the visualization of disease data. Taking tuberculosis data as an example, this paper conducts spatial aggregation analysis, time series analysis and spatio-temporal scanning statistical analysis, analyzes the state of spatiotemporal aggregation of the disease and looks for the high incidence area. The analysis results can be used by the medical and health departments in disease surveillance and warning, resource allocation, etc. Provide scientific reference.