In the world, cardiovascular diseases (CVD) are known as the type of disease with the highest mortality. The mortality rate for this disease is very high in Turkey. Therefore, studies on this disease may direct the activities to be carried out by public health workers/policy makers and effective surveillance studies. In this context, GIS-based spatial analysis offers critical tools to reveal the spatial epidemiology of the disease by modeling the spatial distribution of cardiovascular disease over time and to investigate the risk factors.

In this study, it was aimed to analyze CVD mortality spatiotemporally with GIS-based methodologies and to reveal preliminary information on whether deaths from CVD are related to geographic location and environmental risk factors. Accordingly, CVD mortality that occurred in Turkey at province level between 2009 and 2018 was analyzed through spatial statistical tests (Global Moran's I, Getis-Ord General G, Anselin Local Morans I and Getis-Ord Gi*) and Geographical Information Systems (GIS). The results of spatiotemporal analysis were evaluated. Mortality caused by CVD was examined spatiotemporally with the help of the developed user interface program and spatially significant clusters of CVD were determined. Based on our findings, this study can contribute to understand the spatial nature of the disease and to provide the decision makers with required information on surveillance studies.

在世界范围内，心血管疾病（CVD）被认为是死亡率最高的疾病类型。在土耳其，这种疾病的死亡率很高。因此，对该疾病的研究可能会指导公共卫生工作者/政策制定者进行的活动以及有效的监视研究。在这种情况下，基于GIS的空间分析提供了关键工具，可以通过对心血管疾病随时间推移的空间分布进行建模来揭示疾病的空间流行病学，并研究风险因素。

在这项研究中，其目的是使用基于GIS的方法在时空上分析CVD死亡率，并揭示有关CVD死亡是否与地理位置和环境风险因素有关的初步信息。因此，通过空间统计测试（全球莫兰一世，Getis-Ord将军G，Anselin Local Morans一世和Getis-Ord Gi *）和地理信息系统（GIS）对土耳其在2009年至2018年在省一级发生的CVD死亡率进行了分析。 。评估时空分析的结果。在开发的用户界面程序的帮助下，时空检查了由CVD引起的死亡率，并确定了CVD的空间重要簇。根据我们的发现，