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Modeling Human-Environment Interactions

  • Jay D. Gatrell

Keywords

Expansion Method Physical Geography Voter Turnout Geographical Analysis Trend Surface Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Anselin, L. 1995. Local indicators of spatial association-LISA. Geographical Analysis 27:93–115.Google Scholar
  2. Berry, B. 1980. Creating future geographies. Annals of the Association of American Geographers 70(4):449–458.CrossRefGoogle Scholar
  3. Butzer, K. 2002. The rising cost of contestation: Commentary/response to Turner’s “Contested Identities”. Annals of the Association of American Geographers 92:75–78.CrossRefGoogle Scholar
  4. Casetti, E. 1972. Generating Models by the Expansion Method: Applications to Geographic Research. Geographical Analysis 4:81–91.Google Scholar
  5. Casetti, E. 1993. &quote;Spatial Analysis: Perspectives and Prospects.&quote; Urban Geography 14(6):526–537.Google Scholar
  6. Casetti, E. 1997. The Expansion Method, Mathematical Modeling, and Spatial Econometrics. International Regional Science Review 20:9–33.Google Scholar
  7. Casetti E. 1999. The evolution of Scientific Disciplines, Mathematical Modeling and Human Geography. Geographical Analysis 31(4):332–339.Google Scholar
  8. Commission on Geosciences, Environment and Resources (CGER). 1997. Rediscovering Geography: New Relevance for Science and Society. Washington, DC: National Research Council, National Academy Press.Google Scholar
  9. Fotheringham, A. S. 1998. Position Paper: Stressing the Local. Workshop on the status and trends in spatial analysis, Center for Geographic Information and Analysis, Santa Barbara, CA.Google Scholar
  10. Fotheringham, A. S. 1997. Trends in Quantitative Methods, I: Stressing the Local. Progress in Human Geography 21: 88–96.CrossRefGoogle Scholar
  11. Fotheringham, A. S. 1994. Exploratory data analysis and GIS. Environment and Planning A 24:1675–1678.Google Scholar
  12. Fotheringham, A. S. 1992. On the future of spatial analysis: the role of GIS. Environment and Planning A (Special Issue):30–34.Google Scholar
  13. Fotheringham, A.S., Brunsdon, C.F., and Charlton, M.E. 1999. Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis, Environment and Planning A 30: 1905–1927.Google Scholar
  14. Fotheringham, A.S. and Pitts, T. 1995. Directional variation in distance-decay. Environment and Planning A 27:715–729.Google Scholar
  15. Jones, J.P. and Casetti, E. 1992: Applications of the Expansion Method London: Routledge.Google Scholar
  16. Casetti, E. and Jones, J.P. 1992. An introduction to the expansion method and to its applications. In Jones, J.P. and Casetti, E. Applications of the Expansion Method. London: Routledge, pp. 1–9.Google Scholar
  17. Gatrell, J. and Bierly, G. 2002. Weather & Voter Turnout: Kentucky Primary & General Elections, 1990–2000. Southeastern Geographer 42:114–134.Google Scholar
  18. Gatrell, J., Bierly, G., and Beck, D. 2001. The politics of weather: Voter turnout in Kentucky, 1990–2000. Proceedings of the Applied Geography Conference 24:113–120.Google Scholar
  19. Hanham, R. 1992. Generating varying parameter models using cubic spline functions, In Jones, J.P. and Casetti, E. Applications of the Expansion Method. London: Routledge, pp.355–359.Google Scholar
  20. Jones, J.P. 1992. Paradigmatic dimensions of the expansion method. In Jones, J.P. and Casetti, E. Applications of the Expansion Method. London: Routledge, pp. 42–62.Google Scholar
  21. Jones, J.P and Hanham, R. Q. 1995. Contingency, Realism, and the Expansion Method. Geographical Analysis 27:185–207.Google Scholar
  22. Miles, M., Stow, D. & Jones, J.P. 1992. Incorporating Spatially-Varying Parameters into Remote Sensing-Based Water Quality Mapping Procedures. In Jones, J.P. and Casetti, E. Applications of the Expansion Method. London: Routledge, pp. 279–296.Google Scholar
  23. Moran, P.A.P. 1950. Notes on continuous stochastic phenomena. Biometrika 37:17–23.PubMedGoogle Scholar
  24. Ocelli, S. 2001. “Facing urban complexity: towards cognitive modeling. Part 1. Modeling as a cognitive mediator.” Paper presented at the XII European Colloquium on Theoretical and Quantitative Geography, St.Valery-en-Caux, 7–11 September. {as posted on-line at http://www.cybergeo.presse.fr}.Google Scholar
  25. Sayer, A. 1992. Method in Social Science: A Realist Approach, 2ed. London; Routledge.Google Scholar
  26. Turner, B. L. 2002. Contested identities: Human-environment geography and disciplinary implications in a restructuring academy. Annals of Association of American Geographers 92:52–74.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jay D. Gatrell
    • 1
  1. 1.Department of Geography, Geology, & AnthropologyIndiana State UniversityTerre HauteUSA

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