Teaching Spatial Data Analysis: A Case Study with Recommendations

Author:

Mayer Duncan J.1ORCID,Fischer Robert L.1ORCID

Affiliation:

1. Jack, Joseph & Morton Mandel School of Applied Social Sciences , Case Western Reserve University , 10900 Euclid Avenue, 44106-7078 , Cleveland , OH , USA

Abstract

Abstract Learning from data is a valuable skill for nonprofit professionals and researchers. Often, data have a spatial component, and data relevant to the nonprofit sector are no exception. Understanding spatial aspects of the nonprofit sector may provide immense value to social entrepreneurs, funders, and policy makers, by guiding programmatic decisions, facilitating resource allocation, and development policy. As a result, spatial thinking has become an essential component of critical thinking and decision making among nonprofit professionals. The goal of this case study is to support and encourage instruction of spatial data analysis and spatial thinking in nonprofit studies. The case study presents a local nonprofit data set, along with open data and code, to assist the instructors teaching spatial aspects of the nonprofit sector. Pedagogical approaches are discussed.

Publisher

Walter de Gruyter GmbH

Subject

Public Administration,Economics and Econometrics,Sociology and Political Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the Potential of Spatial Data for Enhancing Higher Education Learners' Learning Outcomes;Design and Implementation of Higher Education Learners' Learning Outcomes (HELLO);2023-12-22

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