While studies of mortality have been gaining research attention worldwide, little attempt has been made to understand Canadian mortality rates from a spatial perspective. The objective of this research was to detect patterns in the spatial distribution of mortality rates for the sixty-five and older age group at the Canadian census division level. Specifically, the spatial patterns of mortality rates for Canadian males and females were examined using Moran’s I statistics, local indicators of spatial association, and cluster maps. The global Moran’s I tests of spatial autocorrelation suggest that Canadian mortality rates are spatially clustered, and further revealed the extent to which these spatial patterns remained consistent across the years in the study. These results were validated by local spatial modeling techniques, which were able to detect several areas in Canada where the mortality rates are clustered. This exploratory study revealed several regions of Canada which experience elevated mortality rates compared to the rest of the country, and provides a starting point for more nuanced investigations of mortality in Canada.

虽然死亡率研究已在全球范围内引起研究关注，但很少有人尝试从空间角度了解加拿大的死亡率。本研究的目的是检测加拿大人口普查部门 65 岁及以上年龄组死亡率的空间分布模式。具体而言，使用 Moran's I统计数据、空间关联的当地指标和聚类图检查了加拿大男性和女性死亡率的空间模式。全球 Moran's I空间自相关测试表明，加拿大死亡率在空间上是聚集的，并进一步揭示了这些空间模式在研究中多年来保持一致的程度。这些结果得到了当地空间建模技术的验证，该技术能够检测到加拿大的几个死亡率聚集的地区。这项探索性研究揭示了加拿大几个地区的死亡率高于该国其他地区，并为更细致地调查加拿大死亡率提供了一个起点。