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References
Anselin, L., Local indicators of spatial autocorrelation — LISA. Geographical Analysis, 1995. 27: p. 93–115.
Anselin, L., I. Syabri, and Y. Kho, GeoDa: An Introduction to Spatial Data Analysis. Geographical Analysis, 2006. 38(1): p. 5–22.
Benjamini, Y. and D. Yekutieli, The control of the false discovery rate in multiple testing under dependency. Annals of Statistics, 2001. 29: p. 1165–1188.
Bivand, R., et al., spdep: Spatial dependence: weighting schemes, statistics and models, 2011.
Glenn, E.H., acs: Download and manipulate data from the US Census American Community Survey, 2012.
U.S. Census Bureau. 2010. State & county Quickfacts: Bexar County, Texas. Retrieved March 18, 2013. http://quickfacts.census.gov.
Keitt, T.H., et al., rgdal: Bindings for the Geospatial Data Abstraction Library, 2012.
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Sparks, C. Spatial Analysis in R: Part 1. Spatial demogr. 1, 131–139 (2013). https://doi.org/10.1007/BF03354891
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DOI: https://doi.org/10.1007/BF03354891