P-ISSN 0048-749X
E-ISSN 1553-0892
Vol. 32, Issue 2, 2002November 27, 2002 CDT
Neural Networks and Regional Science Modeling: A Survey of Techniques for Complex Spatial Analysis
Neural Networks and Regional Science Modeling: A Survey of Techniques for Complex Spatial Analysis
Articles in Vol. 32, Issue 2, 2002
Vol. 32, Issue 2, 2002
- Predicting Regional Recessions Via the Yield SpreadJean GaugerDon Schunk
- Macroeconomic Differences in Public and Private Union Density: An Analysis of U.S. State EconomiesLouis J. PantuoscoDarrell ParkerWilliam SeyfriedScott Lyman
- Asymmetric Knowledge Spillovers in a Model of Regional Innovation and GrowthNorman Sedgley
- Input-Output Modeling of Protected Landscapes: The Adirondack ParkKlaus HubacekJon D. EricksonFaye Duchin
- How Much Does Local Job Growth Improve Employment Outcomes of the Rural Working Poor?Elizabeth E. DavisBruce A. Weber
- Testing the Neoclassical Model of Regional Economic Growth: A Panel Data Approach across the Finnish Provinces, 1973-1996Petteri Miiki-Arvela
- Price Transmission in the Antebellum Slave Markets: A Time Series AnalysisBradley T. EwingJames E. PayneMark ThorntonMark A. Yanochik
- Environmental Policy and Industry Location: The Case of the U.S. Livestock IndustryDooho ParkAndrew SeidlStephen Davies
- Neural Networks and Regional Science Modeling: A Survey of Techniques for Complex Spatial AnalysisThomas G. WierVir V. Phoha
- Relative Efficiency in the Spatial Distribution of Physicians' ServicesGlenda StoneWalter O. Simmons
Wier, Thomas G., and Vir V. Phoha. 2002. “Neural Networks and Regional Science Modeling: A Survey of Techniques for Complex Spatial Analysis.” Review of Regional Studies 32 (2): 309–24. https://doi.org/10.52324/001c.8460.