Abstract

In this article we present and discuss the importance and relevance of the inclusion of spatial data analysis as part of the undergraduate statistics curriculum. Given its usefulness and applicability across a range of disciplines, spatial data are a topic that should receive more emphasis within undergraduate statistics curricula. There exist many topical and intriguing spatial datasets from different areas of research that can bring fruitful discussions into the classroom including the environment, medicine, and political science. Spatial data can be incorporated at any level of study, from lower to upper division courses, as well as graduate-level courses in Mathematics and Statistics. This article will focus on its role in undergraduate statistics curricula, and present topics that can be included in an introductory course, a mathematical course in statistics, and an elective course in spatial data analysis. Supplemental materials for this article are available online.

摘要

在本文中，我们介绍并讨论了将空间数据分析纳入本科统计学课程的重要性和相关性。鉴于其在一系列学科中的实用性和适用性，空间数据是一个应该在本科统计学课程中得到更多重视的主题。存在许多来自不同研究领域的主题和有趣的空间数据集，可以将富有成效的讨论带入课堂，包括环境、医学和政治科学。空间数据可以纳入任何级别的学习，从低级到高级课程，以及数学和统计学的研究生课程。本文将重点介绍它在本科统计课程中的作用，并介绍可以包含在介绍性课程中的主题，统计学的数学课程和空间数据分析的选修课。本文的补充材料可在线获取。