A Geographically Weighted Regression Method to Spatially Disaggregate Regional Employment Forecasts for South East Queensland-Reference-Cited by-同舟云学术

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A Geographically Weighted Regression Method to Spatially Disaggregate Regional Employment Forecasts for South East Queensland

Published:2008-11-25 Issue:2 Volume:2 Page:147-175
ISSN:1874-463X
Container-title:Applied Spatial Analysis and Policy
language:en
Short-container-title:Appl. Spatial Analysis

Author:

Li Tiebei,Corcoran Jonathan,Pullar David,Robson Alistair,Stimson Robert

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development

Link

http://link.springer.com/content/pdf/10.1007/s12061-008-9015-3.pdf

Reference61 articles.

1. Anas, A., & Kim, I. (1996). General equilibrium models of polycentric urban land use with endogenous congestion and job agglomeration. Journal of Urban Economics, 40(2), 232–256.

2. Anselin, L. (1988). Spatial econometrics: Methods and models. Dordrecht: Kluwer Academic.

3. Anselin, L. (2002). Under the hood: Issues in the specification and interpretation of spatial regression models. Agricultural Economics, 27(3), 247–267.

4. Batty, M., Xie, Y., & Sun, Z. (1999). Modelling urban dynamics through GIS based cellular automata. Computers Environment and Urban Systems, 23, 205–233.

5. Boarnet, M. G. (1994). The monocentric model and employment location. Journal of Urban Economics, 36, 79–97.

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