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Articles

Local measures of spatial association

Pages 168-176 | Received 08 Mar 2001, Accepted 15 Nov 2001, Published online: 23 Mar 2016

Literature cited

  • Anselin, L., 1995. Local indicators of spatial autocorrelation LISA. Geographical Analysis, 27: 93–115.
  • Bao, S. & M. Henry, 1996. Heterogeneity issues in local measurements of spatial association. Geographical Systems, 3: 1–13.
  • Bavaud, F., 1998. Models for spatial weights: A systematic look. Geographical Analysis, 30: 153–171.
  • Berglund, S. & A. Karlström, 1999. Identifying local spatial association in flow data. Journal of Geographical Systems, 1: 219–236.
  • Besag, J. & J. Newell, 1991. The detection of clusters in rare diseases. Journal of the Royal Statistical Society, Series A, 154: 143–156.
  • Boots, B., 2000. Using local statistics for boundary characterization. 29th International Geographical Congress Abstracts, 55–56.
  • Boots, B., 2001. Local statistics for categorical data. Abstracts, Annual Meeting of the Canadian Association of Geographers, Montréal, Québec.
  • Boots, B. & M. Tiefelsdorf, 2000. Global and local spatial autocorrelation in bounded regular tessellations. Journal of Geographical Systems, 2: 319–348.
  • Cliff, A. D. & J. K. Ord, 1973. Spatial Autocorrelation. Pion, London.
  • Cliff, A. D. & J. K. Ord, 1981. Spatial Processes. Models and Applications. Pion, London.
  • Csillag, F., B. Boots, M.-J. Fortin, K. Lowell & F. Potvin, 2001. Multiscale characterization of boundaries and landscape ecological patterns. Geomatica, 55: 509–522.
  • Dacey, M. F., 1968. A review of measures of contiguity for two and k-color maps. Pages 479–495 in B. J. L. Berry & D. F. Marble (ed.). Spatial Analysis: A Reader in Statistical Geography. Prentice-Hall, Englewood Cliffs, New Jersey.
  • Derksen, C., M. Wulder, E. LeDrew & B. Goodison, 1998. Associations between spatially derived autocorrelation patterns of SSM/I-derived prairie snow cover and atmospheric circulation. Hydrological Processes, 12: 2307–2316.
  • Ding, Y. & A. S. Fotheringham, 1992. The integration of spatial analysis and GIS. Computers, Environment and Urban Systems, 16: 3–19.
  • Fortin, M.-J., 1999. Spatial statistics in landscape ecology. Pages 253–279 in J. M. Klopatek & R. H. Gardner (ed.). Landscape Ecological Analysis. Issues and Applications. Springer-Verlag, Berlin.
  • Fortin, M.-J. & G. M. Jacquez, 2000. Randomization tests and spatially autocorrelated data. Bulletin of the Ecological Society of America, 81: 201–205.
  • Fotheringham, A. S., 1997. Trends in quantitative methods I: Stressing the local. Progress in Human Geography, 21: 88–96.
  • Fotheringham, A. S., 1999. Guest editorial: Local modelling. Geographical & Environmental Modelling, 3: 5–7.
  • Fotheringham, A. S. & C. Brunsdon, 1999. Local forms of spatial analysis. Geographical Analysis, 31: 340–358.
  • Fotheringham, A. S., C. Brunsdon & M. E. Charlton, 2000. Quantitative Geography: Perspectives on Spatial Data Analysis. Sage Publications, London.
  • Getis, A. & J. K. Ord, 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis, 24: 189–206.
  • Getis, A. & J. K. Ord, 1996. Local spatial statistics: An overview. Pages 261–271 in P. Longley & M. Batty (ed.). Spatial Analysis: Modelling in a GIS Environment. GeoInformation International, Cambridge.
  • Goodchild, M. F., 1985. Spatial Autocorrelation. Concepts and Techniques in Modern Geography, 47. Geo Books, Norwich.
  • Griffin, P., A. Getis & E. Griffin, 1996. Regional patterns of affirmative action compliance costs. Annals of Regional Science, 30: 321–340.
  • Gustafson, E. J., 1998. Quantifying landscape spatial pattern: What is the state of the art? Ecosystems, 1: 143–156.
  • Haining, R., 1990. Spatial Data Analysis in the Social and Environmental Sciences. Cambridge University Press, Cambridge.
  • Haining, R. & G. Arbia, 1993. Error propagation through map operations. Technometrics, 35: 293–305.
  • Haining, R., S. Wise & J. Ma, 2000. Designing and implementing software for spatial statistical analysis in a GIS environment. Journal of Geographical Systems, 2: 257–286.
  • Hubert, L. J., R. G. Golledge & C. M. Costanzo, 1981. Generalized procedures for evaluating spatial autocorrelation. Geographical Analysis, 13: 224–233.
  • Li, H. & J. F. Reynolds, 1993. A new contagion index to quantify spatial patterns of landscapes. Landscape Ecology, 8: 155–162.
  • Li, H. & J. F. Reynolds, 1994. A simulation experiment to quantify spatial heterogeneity in categorical maps. Ecology, 75: 2446–2455.
  • Li, H. & J. F. Reynolds, 1995. On definition and quantification of heterogeneity. Oikos, 73: 280–284.
  • Odland, J., 1988. Spatial Autocorrelation. Sage Scientific Geography Series, Volume 9. Sage Publications, Newbury Park, California.
  • Ord, J. K. & A. Getis, 1995. Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis, 27: 286–306.
  • Ord, J. K. & A. Getis, 2001. Testing for local spatial autocorrelation in the presence of global autocorrelation. Journal of Regional Science, 41: 411–432.
  • Shen, Q., 1994. An application of GIS to the measurement of spatial autocorrelation. Computers, Environment and Urban Systems, 18: 167–191.
  • Sidák, Z., 1967. Rectangular confidence regions for the means of multivariate normal distributions. Journal of the American Statistical Association, 62: 626–633.
  • Sokal, R. R., N. L. Oden & B. A. Thomson, 1998a. Local spatial autocorrelation in biological variables. Biological Journal of the Linnean Society, 65: 41–62.
  • Sokal, R. R., N. L. Oden & B. A. Thomson, 1998b. Local spatial autocorrelation in a biological model. Geographical Analysis, 30: 331–354.
  • Sokal, R. R., N. L. Oden & B. A. Thomson, 1999. Local spatial autocorrelation in a biological model: Erratum. Geographical Analysis, 31: 213–214.
  • Tiefelsdorf, M., 1998. Some practical applications of Moran’s I’s exact conditional distribution. Papers of the Regional Science Association, 77: 101–129.
  • Tiefelsdorf, M., 2000. Modelling Spatial Processes: The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of Moran’s I. Lecture Notes in Earth Sciences, 87. Springer-Verlag, Berlin.
  • Tiefelsdorf, M. & B. Boots, 1995. The exact distribution of Moran’s I. Environment and Planning A, 27: 985–999.
  • Tiefelsdorf, M. & B. Boots, 1996. Letters to the Editor. The exact distribution of Moran’s I. Environment and Planning A, 28: 1900.
  • Tiefelsdorf, M. & B. Boots, 1997. A note on the extremities of local Moran’s Iis and their impact on global Moran’s I. Geographical Analysis, 29: 248–257.
  • Turner, M. G., R. V. O’Neill, R. H. Gardner & B. T. Milne, 1989. Effects of changing scale on the analysis of landscape pattern. Landscape Ecology, 3: 153–162.
  • Unwin, A., 1996. Exploratory spatial analysis and local statistics. Computational Statistics, 11: 387–400.
  • Unwin, A. & D. Unwin, 1998. Exploratory spatial data analysis with local statistics. Journal of the Royal Statistical Society: Series D (The Statistician), 47: 415–421.
  • Unwin, D., 1996. GIS, spatial analysis and spatial statistics. Progress in Human Geography, 20: 540–541.
  • Upton, G. & B. Fingleton, 1985. Spatial Data Analysis by Example. Volume 1: Point Pattern and Quantitative Data. John Wiley & Sons, Chichester.
  • Wartenberg, D., 1985. Multivariate spatial autocorrelation: A method for explanatory geographical analysis. Geographical Analysis, 17: 263–283.
  • Wulder, M. & B. Boots, 1998. Local spatial autocorrelation characteristics of remotely sensed imagery assessed with the Getis statistic. International Journal of Remote Sensing, 19: 2223–2231.
  • Wulder, M. & B. Boots, 2001. Local spatial autocorrelation characteristics of Landsat TM imagery of a managed forest. Canadian Journal of Remote Sensing, 27: 67–75.
  • Zhang, C. & Y. Murayama, 2000. Testing local spatial autocorrelation using k-order neighbours. International Journal of Geographical Information Science, 14: 681–692.
  • Zhang, Z. & D. A. Griffith, 1997. Developing user-friendly spatial statistical analysis modules for GIS: An example using ArcView. Computers, Environment and Urban Systems, 21: 5–29.
  • Zhang, Z. and D. A. Griffith, 2000. Integrating GIS components and spatial statistical analysis in DBMSs. International Journal of Geographical Information Science, 14: 543–566.

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