Spatial weights matrices

Geographical Analysis

Volumn 41, Issue 4, 2009, Pages 404-410

  Getis, Arthur ^a  

^a SAN DIEGO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; EMPIRICAL ANALYSIS; SPATIAL ANALYSIS; SPATIAL DATA; THEORETICAL STUDY; TOPOLOGY;

EID: 73649143896     PISSN: 00167363     EISSN: 15384632     Source Type: Journal    
DOI: 10.1111/j.1538-4632.2009.00768.x     Document Type: Article

References (20)

1. Aldstadt, J., and A. Getis. (2006). "Using AMOEBA to Create a Spatial Weights Matrix and Identify Spatial Clusters." Geographical Analysis 38, 327-43.
2. Bartels, C. P. A. (1979). "Operational Statistical Methods for Analysing Spatial Data." In Exploratory and Explanatory Statistical Analysis for Spatial Data, 5-50, edited by C. P. A. Bartels and R. H. Ketellapper. Boston: Martinus Nijhoff.
3. Batty, M., and P. Longley. (1994). Fractal Cities: A Geometry of Form and Function. San Diego, CA: Academic Press Professional Inc.
4. Berry, B. J. L. (1966). "Essays on Commodity Flows and the Spatial Structure of the Indian Economy." Research Paper No. 111, Department of Geography, University of Chicago.
5. Bunge, W. (1962). Theoretical Geography. Lund Studies in Geography, Ser. C. General and Mathematical Geography No. 1. Lund, Sweden: C.W.K. Gleerup, Publishers.
6. Cliff, A. D., and J. K. Ord. (1969). "The Problem of Spatial Autocorrelation." In London Papers in Regional Science, Volume 1, Studies in Regional Science, 25-55, edited by A. J. Scott. London: Pion.
7. Cliff, A. D., and J. K. Ord. (1973). Spatial Autocorrelation. London: Pion.
8. Cliff, A. D., and J. K. Ord. (1981). Spatial Processes: Models and Applications. London: Pion.
9. Curry, L. (1967). "Central Places in the Random Spatial Economy." Journal of Regional Science 7, 217-38.
10. Dacey, M. F. (1965). "A Review on Measures of Contiguity for Two and k-Color Maps." Technical Report No. 2, Spatial Diffusion Study. Department of Geography, Northwestern University, Evanston.
11. Fotheringham, A. S., C. Brunsdon, and M. Charlton. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester, UK: Wiley.
12. Getis, A. (1995). "Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures." In New Directions in Spatial Econometrics, 172-85, edited by L. Anselin and R. J. G. Florax. Heidelberg, Germany: Springer.
13. Getis, A., and J. Aldstadt. (2004). "Constructing the Spatial Weights Matrix Using a Local Statistic." Geographical Analysis 36, 90-104.
14. Griffith, D. A. (1996a). "Some Guidelines for Specifying the Geographic Weights Matrix Contained in Spatial Statistical Models." In Practical Handbook of Spatial Statistics, 65-82, edited by S. L. Arlinghaus. Boca Raton, FL: CRC.
15. Griffith, D. A. (1996b). "Spatial Autocorrelation and Eigenfunctions of the Geographic Weights Matrix Accompanying Geo-Referenced Data." The Canadian Geographer 40, 351-67.
16. Gumprecht, D., W. G. Müller, and J. M. Rodríguez-Díaz. (2009). "Designs for Detecting Spatial Dependence." Geographical Analysis 41, 127-43.
17. Hägerstrand, T. (1965). "A Monte Carlo Approach to Diffusion." European Journal of Sociology 6, 43-67.
18. Isard, W. (1956). Location and the Space Economy. New York: Wiley.
19. Wilson, A. G. (1967). "A Statistical Theory of Spatial Distribution Models." Transportation Research 1, 253-69.
20. Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology. Reading, MA: Addison-Wesley.