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.
| Original language | English |
|---|---|
| Title of host publication | E-Planning and Collaboration |
| Subtitle of host publication | Concepts, Methodologies, Tools, and Applications |
| Publisher | IGI Global |
| Pages | 561-580 |
| Number of pages | 20 |
| Volume | 1-3 |
| ISBN (Electronic) | 9781522556473 |
| ISBN (Print) | 152255646X, 9781522556466 |
| DOIs | |
| Publication status | Published - 4 Jun 2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
ASJC Scopus subject areas
- General Social Sciences
- General Engineering
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