Author ORCID Identifier

Duncan J. Mayer

Robert L. Fischer

Document Type

Article

Publication Date

7-25-2023

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.

Keywords

nonprofit education, open data, spatial

Publication Title

Nonprofit Policy Forum

Rights

© 2023 the author(s), published by De Gruyter, Berlin/Boston

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Share

COinS
10.1515/npf-2022-0044" data-hide-no-mentions="true">
10.1515/npf-2022-0044" data-hide-zero-citations="true" data-style="small_circle">
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.