Literature Cited
- Aldstadt, J., and A. Getis. 2006. Using AMOEBA to create a spatial weights matrix and identify spatial clusters. Geographical Analysis 38 (4):327–43. doi: https://doi.org/10.1111/j.1538-4632.2006.00689.x.
- Anselin, L. 1988. Spatial econometrics: Methods and models. Dordrecht, The Netherlands: Kluwer.
- Anselin, L. 1995. Local indicators of spatial association—LISA. Geographical Analysis 27 (2):93–115. doi: https://doi.org/10.1111/j.1538-4632.1995.tb00338.x.
- Anselin, L. 1996. The Moran scatterplot as an ESDA tool to assess local instability in spatial association. In Spatial analytical perspectives on GIS in environmental and socio-economic sciences, ed. M. Fischer, H. Scholten, and D. Unwin, 111–25. London and New York: Taylor & Francis.
- Boots, B., and A. Okabe. 2007. Local statistical spatial analysis: Inventory and prospect. International Journal of Geographical Information Science 21 (4):355–75. doi: https://doi.org/10.1080/13658810601034267.
- Brunsdon, C., A. S. Fotheringham, and M. Charlton. 1996. Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis 28 (4):281–98. doi: https://doi.org/10.1111/j.1538-4632.1996.tb00936.x.
- Brunsdon, C., A. S. Fotheringham, and M. Charlton. 2002. Geographically weighted summary statistics—A framework for localised exploratory data analysis. Computers Environment and Urban Systems 26 (6):501–24. doi: https://doi.org/10.1016/S0198-9715(01)00009-6.
- Cliff, A., and J. Ord. 1969. The problem of spatial autocorrelation. In London papers in regional science, ed. A. Scott, 25–55. London: Pion.
- de Castro, M. C., and B. H. Singer. 2006. Controlling the false discovery rate: An application to account for multiple and dependent tests in local statistics of spatial association. Geographical Analysis 38 (2):180–208. doi: https://doi.org/10.1111/j.0016-7363.2006.00682.x.
- de Smith, M. J., M. Goodchild, and P. Longley. 2007. Geospatial analysis: A comprehensive guide to principles, techniques and software tools. Leicester, UK: Troubador.
- Fotheringham, A. S. 2009. “The problem of spatial autocorrelation” and local spatial statistics. Geographical Analysis 41 (4):398–403. doi: https://doi.org/10.1111/j.1538-4632.2009.00767.x.
- Fotheringham, A. S., and C. Brunsdon. 1999. Local forms of spatial analysis. Geographical Analysis 31 (4):340–57. doi: https://doi.org/10.1111/j.1538-4632.1999.tb00989.x.
- Fotheringham, A. S., C. Brunsdon, and M. Charlton. 2002. Geographically weighted regression: The analysis of spatially varying relationships. Chichester, UK: Wiley.
- Getis, A. 2009. Spatial weights matrices. Geographical Analysis 41 (4):404–10. doi: https://doi.org/10.1111/j.1538-4632.2009.00768.x.
- Getis, A., and J. Aldstadt. 2004. Constructing the spatial weights matrix using a local statistic. Geographical Analysis 36 (2):90–104. doi: https://doi.org/10.1111/j.1538-4632.2004.tb01127.x.
- Getis, A., and J. K. Ord. 1992. The analysis of spatial association. Geographical Analysis 24 (3):189–206. doi: https://doi.org/10.1111/j.1538-4632.1992.tb00261.x.
- Goodchild, M. F., M. Yuan, and T. J. Cova. 2007. Towards a general theory of geographic representation in GIS. International Journal of Geographical Information Science 21 (3):239–60. doi: https://doi.org/10.1080/13658810600965271.
- Griffith, D. A. 1996. Some guidelines for specifying the geographic weights matrix contained in spatial statistical models. In Practical handbook of spatial statistics, ed. S. Arlinghaus, 65–82. Boca Raton, FL: CRC.
- Guerry, A.-M. 1833. Essai sur la statistique morale de la France. Paris, France: Crochard.
- Harris, P., C. Brunsdon, and M. Charlton. 2011. Geographically weighted principal components analysis. International Journal of Geographical Information Science 25 (10):1717–36. doi: https://doi.org/10.1080/13658816.2011.554838.
- Kordi, M., and A. S. Fotheringham. 2016. Spatially weighted interaction models (SWIM). Annals of the Association of American Geographers 106 (5):990–1012. doi: https://doi.org/10.1080/24694452.2016.1191990.
- Lin, J. 2020. A local model for multivariate analysis: Extending Wartenberg’s multivariate spatial correlation. Geographical Analysis 52 (2):190–210. doi: https://doi.org/10.1111/gean.12196.
- Lin, J., R. G. Cromley, and D. M. Hanink. 2016. Mapping local regression for spatial object-pairs. Cartography and Geographic Information Science 43 (4):328–37. doi: https://doi.org/10.1080/15230406.2015.1081832.
- Moran, P. A. P. 1948. The interpretation of statistical maps. Journal of the Royal Statistical Society. Series B 10 (2):243–51. doi: https://doi.org/10.1111/j.2517-6161.1948.tb00012.x.
- Moran, P. A. P. 1950. Notes on continuous stochastic phenomena. Biometrika 37 (1–2):17–23. doi: https://doi.org/10.2307/2332142.
- Openshaw, S., and P. J. Taylor. 1981. The modifiable areal unit problem. In Quantitative geography: A British view, ed. N. Wrigley and R. Bennett, 60–69. London and New York: Routledge.
- Ord, J. K., and A. Getis. 1995. Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis 27 (4):286–306. doi: https://doi.org/10.1111/j.1538-4632.1995.tb00912.x.