Welcome to the InfoSci Platform
Monitoring Urban Sprawl and Sustainable Urban Development Using the Moran Index: A Case Study of Stellenbosch, South Africa

Monitoring Urban Sprawl and Sustainable Urban Development Using the Moran Index: A Case Study of Stellenbosch, South Africa

Walter Musakwa, Adriaan van Niekerk
Copyright: © 2018 |Pages: 21
ISBN13: 9781522556466|ISBN10: 152255646X|EISBN13: 9781522556473
DOI: 10.4018/978-1-5225-5646-6.ch027
Cite Chapter Cite Chapter

MLA

Musakwa, Walter, and Adriaan van Niekerk. "Monitoring Urban Sprawl and Sustainable Urban Development Using the Moran Index: A Case Study of Stellenbosch, South Africa." E-Planning and Collaboration: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 561-581. https://doi.org/10.4018/978-1-5225-5646-6.ch027

APA

Musakwa, W. & van Niekerk, A. (2018). Monitoring Urban Sprawl and Sustainable Urban Development Using the Moran Index: A Case Study of Stellenbosch, South Africa. In I. Management Association (Ed.), E-Planning and Collaboration: Concepts, Methodologies, Tools, and Applications (pp. 561-581). IGI Global. https://doi.org/10.4018/978-1-5225-5646-6.ch027

Chicago

Musakwa, Walter, and Adriaan van Niekerk. "Monitoring Urban Sprawl and Sustainable Urban Development Using the Moran Index: A Case Study of Stellenbosch, South Africa." In E-Planning and Collaboration: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 561-581. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5646-6.ch027

Export Reference

Mendeley
Favorite

Abstract

The management of urban sprawl is fundamental to achieving sustainable urban development. Monitoring urban sprawl is, however, challenging. This study proposes the use of two spatial statistics, namely global Moran and local Moran to indentify statistically significant urban sprawl hot and cold spots. The findings reveal that the Moran indexes are sensitive to the distance band spatial weight matrices employed and that multiple bands should be used when these indexes are used. The authors demonstrate how the indexes can be used in combination with various visualisation methods to support planning decisions.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.