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LITERATURE CITED

  • Anselin, L. (1980). Estimation Methods for Spatial Autoregressive Structures. Ithaca, N.Y.: Regional Science Dissertation and Monograph Series.
  • Anselin, L. (1986). “MicroQAP, a Microcomputer Implementation of Generalized Measures of Spatial Association”. Department of Geography, University of California, Santa Barbara, Calif.
  • Anselin, L. (1988). Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic.
  • Anselin, L. (1990). “Spatial Dependence and Spatial Structural Instability in Applied Regression Analysis”. Journal of Regional Science 30, 185207.
  • Anselin, L. (1992). SpaceStat: A Program for the Analysis of Spatial Data. National Center for Geographic Information and Analysis, University of California, Santa Barbara, Calif.
  • Anselin, L. (1993a). “The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association”. Paper presented at the GISDATA Specialist Meeting on GIS and Spatial Analysis, Amsterdam, The Netherlands, December 1–5 (West Virginia University, Regional Research Institute, Research Paper 9330).
  • Anselin, L. (1993b). “Exploratory Spatial Data Analysis and Geographic Information Systems”. Paper presented at the DOSES/Eurostat Workshop on New Tools for Spatial Analysis, Lisbon, Portugal, November 18–20 (West Virginia University, Regional Research Institute, Research Paper 9329).
  • Anselin, L., and A. Getis (1992). “Spatial Statistical Analysis and Geographic Information Systems”. The Annals of Regional Science 26, 1933.
  • Anselin, L., and J. O'Loughlin (1990). “Spatial Econometric Models of International Conflicts”. In Dynamics and Conflict in Regional Structural Change, edited by M.Chatterji and R.Kuenne, pp. 32545. London: Macmillan.
  • Anselin, L., and J. O'Loughlin (1992). “Geography of International Conflict and Cooperation: Spatial Dependence and Regional Context in Africa”. In The New Geopolitics, edited by M.Ward, pp. 3975. Philadelphia, Penn.: Gordon and Breach.
  • Azar, E. (1980). “The Conflict and Peace Data Bank (COPDAB) Project”. Journal of Conflict Resolution 24, 14352.
  • Belsley, D., E. Kuh, and R. Welsch (1980). Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. New York: Wiley.
  • Casetti, E. (1972). “Generating Models by the Expansion Method: Applications to Geographical Research”. Geographical Analysis 4, 8191.
  • Casetti, E. (1986). “The Dual Expansion Method: An Application for Evaluating the Effects of Population Growth on Development”. IEEE Transactions on Systems, Man and Cybernetics SMC-16, 2939.
  • Cliff, A., and J. K. Ord (1981). Spatial Processes: Moels and Applications. London: Pion.
  • Costanzo, C. M., L. J. Hubert, and R. G. Golledge (1983). “A Higher Moment for Spatial Statistics”. Geographical Analysis 15, 34751.
  • Cook, R. (1977). “Detection of Influential Observations in Linear Regression”. Technometrics 19, S1518.
  • Cressie, N. (1991). Statistics for Spatial Data. New York: Wiley.
  • Diehl, P. (1992). “Geography and War: A Review and Assessment of the Empirical Literature”. In The New Geopolitics, edited by M.Ward, pp. 12137. Philadelphia, Penn.: Gordon and Breach.
  • Eastman, R. (1992). IDRISI Version 4.0. Worcester, Mass.: Clark University Graduate School of Geography.
  • Foster, S. A., and W. Gorr (1986). “An Adaptive Filter for Estimating Spatially-Varying Parameters: Application to Modeling Police Hours in Response to Calls for Service”. Management Science 32, 87889.
  • Getis, A. (1991). “Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach”. Environment and Planning A 23, 126977.
  • Getis, A., and K. Ord (1992). “The Analysis of Spatial Association by Use of Distance Statistics”. Geographical Analysis 24, 189206.
  • Gorr, W., and A. Olligschlaeger (1994). “Weighted Spatial Adaptive Filtering: Monte Carlo Studies and Application to Illicit Drug Market Modeling”. Geographical Analysis 26, 6787.
  • Griffith, D. A. (1978). “A Spatially Adjusted ANOVA Model”. Geographical Analysis 10, 296301.
  • Griffith, D. A. (1992). “A Spatially Adjusted N-Way ANOVA Model”. Regional Science and Urban Economics 22, 34769.
  • Griffith, D. A. (1993). “Which Spatial Statistics Techniques Should Be Converted to GIS Functions? In Geographic Information Systems, Spatial Modelling and Policy Evaluation, edited by M. M.Fischer and P.Nijkamp, pp. 10114. Berlin: Springer Verlag.
  • Haslett, J., R. Bradley, P. Craig, A. Unwin, and C. Wills (1991). “Dynamic Graphics for Exploring Spatial Data with Applications to Locating Global and Local Anomalies”. The American Statistician 45, 23442.
  • Hoaglin, D., and R. Welsch (1978). “The Hat Matrix in Regression and ANOVA”. The American Statistician 32, 1722.
  • Hubert, L. J. (1985). “Combinatorial Data Analysis: Association and Partial Association”. Psychometrika 50, 44967.
  • Hubert, L. J. (1987). Assignment Methods in Combinatorial Data Analysis. New York: Marcel Dekker.
  • Hubert, L. J., R. Golledge, and C. M. Costanzo (1981). “Generalized Procedures for Evaluating Spatial Autocorrelation”. Geographical Analysis 13, 22433.
  • Hubert, L. J., R. Golledge, C. M. Costanzo, and N. Gale (1985). “Measuring Association between Spatially Defined Variables: An Alternative Procedure”. Geographical Analysis 17, 3646.
  • Jones, J. P., and E. Casetti (1992). Applications of the Expansion Method. London: Routledge.
  • Kiefer, N., and M. Salmon (1983). ‘Testing Normality in Econometric Models”. Economics Letters 11, 1238.
  • Kirby, A., and M. Ward (1987). “The Spatial Analysis of Peace and War”. Comparative Political Studies 20, 293313.
  • Mantel, N. (1967). “The Detection of Disease Clustering and a Generalized Regression Approach”. Cancer Research 27, 20920.
  • Mielke, P. W. (1979). “On Asymptotic Non-Normality of Null Distributions of MRPP Statistics”. Communications Statistical Theory and Methods A 8, 154150.
  • Oden, N. L. (1984). “Assessing the Significance of a Spatial Correlogram”. Geographical Analysis 16, 116.
  • O'Loughlin, J. (1986). “Spatial Models of International Conflicts: Extending Current Theories of War Behavior”. Annals, Association of American Geographers 76, 6380.
  • O'Loughlin, J. and L. Anselin (1991). “Bringing Geography Back to the Study of International Relations: Dependence and Regional Context in Africa, 1966–1978”. International Interactions 17, 2961.
  • O'Loughlin, J. and L. Anselin (1992). “Geography of International Conflict and Cooperation: Theory and Methods”. In The New Geopolitics, edited by M.Ward, pp. 1138. Philadelphia, Penn.: Gordon and Breach.
  • O'Loughlin, J., C. Flint, and L. Anselin (1994). “The Political Geography of the Nazi Vote: Context, Confession, and Class in the Reichstag Election of 1930”. Annals, Association of American Geographers 84, 35180.
  • Openshaw, S. (1993). “Some Suggestions concerning the Development of Artificial Intelligence Tools for Spatial Modelling and Analysis in GIS”. In Geographic Information Systems, Spatial Modelling and Policy Evaluation, edited by M. M.Fischer and P.Nijkamp, pp. 1733. Berlin: Springer Verlag.
  • Openshaw, S., C. Brundson, and M. Charlton (1991). “A Spatial Analysis Toolkit for GIS”. EGIS 1991, Proceedings of the Second European Conference on Geographical Information Systems, pp. 78896. Utrecht: EGIS Foundation.
  • Openshaw, S., A. Cross, and M. Charlton (1990). “Building a Prototype Geographical Correlates Exploration Machine”. International Journal of Geographical Information Systems 4, 297311.
  • Ord, J. K., and A. Getis (1994). “Distributional Issues concerning Distance Statistics”. Working paper.
  • Royaltey, H., E. Astrachan, and R. Sokal (1975). “Tests for Patterns in Geographic Variation”. Geographical Analysis 7, 36996.
  • Savin, N. E. (1980). “The Bonferroni and the Scheffé Multiple Comparison Procedures”. Review of Economic Studies 67, 25573.
  • Sidák, Z. (1967). “Rectangular Confidence Regions for the Means of Multivariate Normal Distributions”. Journal of the American Statistical Association 62, 62633.
  • Sokal, R., N. Oden, B. Thomson, and J. Kim (1993). “Testing for Regional Differences in Means: Distinguishing Inherent from Spurious Spatial Autocorrelation by Restricted Randomization”. Geographical Analysis 25, 199210.
  • Tiefelsdorf, M., and B. Boots (1994). “The Exact Distribution of Moran's I”. Environment and Planning A (forthcoming).