Predicting Future Spatial Distributions of Population and Employment for South East Queensland: A spatial disaggregation approach
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| 68034_1.pdf | 2589Kb | Adobe PDF | View |
| Title | Predicting Future Spatial Distributions of Population and Employment for South East Queensland: A spatial disaggregation approach |
|---|---|
| Author | Li, Terry |
| Year Published | 2010 |
| Place of publication | Germany |
| Publisher | Lambert Academic Publishing |
| Abstract | The spatial distribution of future population and employment has become a focus of recent academic enquiry and planning policy concerns. At a national level forecasts for population and employment are produced for large geographic regions; however, appropriate planning for the urban growth needs forecasts for fine-grained spatial units for growth management within regions. In this book, Tiebei Li presents a spatial based technique to break large regional forecasts down to a disaggregated geographic scale using South East Queensland (SEQ) as the experimental context. He demonstrates that spatial disaggregation methodologies can be used to enhance the forecasts for urban planning purposes and to derive a deeper understanding of the urban spatial structure under growth conditions. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://www.lap-publishing.com |
| Alternative URI | http://books.google.com/ |
| Copyright Statement | Copyright remains with the author 2010. This is the author-manuscript version of the paper. Please refer to the publisher's website or contact the author for more information. |
| ISBN | 9783838364346 |
| Date Accessioned | 2011-02-04 |
| Date Available | 2011-06-17T04:54:09Z |
| Language | en_AU |
| Research Centre | Urban Research Program |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | Urban and Regional Economics |
| URI | http://hdl.handle.net/10072/37782 |
| Publication Type | Books (Authored Research) |
| Publication Type Code | a1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/37782
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