@book{bailey+gatrell:1995,
author = {Bailey, T. C. and Gatrell, A. C.},
title = {Interactive Spatial Data Analysis},
year = {1995},
publisher = {Longman},
address = {Harlow}
}

@article{choynowski:1959,
author = {Choynowski, M.},
title = {Maps based on probabilities},
year = {1959},
journal = {Journal of the American Statistical Association},
volume = {54},
pages = {385--388}
}

@book{cressie:1991,
author = {Cressie, N.},
title = {Statistics for spatial data},
year = {1991},
publisher = {Wiley},
address = {New York}
}

@article{cressie+chan:1989,
author = {Cressie, N. and Chan, N. H.},
title = {Spatial modelling of regional variables},
year = {1989},
journal = {Journal of the American Statistical Association},
volume = {84},
pages = {393--401}
}
@article{cressie+read:1985,
author = {Cressie, N. and Read, T. R. C.},
title = {Do sudden infant deaths come in clusters?},
year = {1985},
journal = {Statistics and Decisions},
volume = {Supplement Issue 2},
pages = {333--349}
}

@article{cressie+read:1989,
author = {Cressie, N. and Read, T. R. C.},
title = {Spatial data-analysis of regional counts},
year = {1989},
journal = {Biometrical Journal},
volume = {31},
pages = {699--719}
}

@book{kaluznyetal:1996,
author = {Kaluzny, S. P. and Vega, S. C. and Cardoso, T. P. and Shelly, A. A.},
title = {{S-PLUS SPATIALSTATS} user's manual version 1.0},
year = {1996},
publisher = {MathSoft Inc.},
address = {Seattle}
}

@article{marshall:1991,
author = {Marshall, R. M.},
title = {Mapping disease and mortality rates using Empirical {Bayes} Estimators},
year = {1991},
journal = {Applied Statistics},
volume = {40},
pages = {283--294}
}

@article{symonsetal:1983,
author = {Symons, M. J. and Grimson, R. C. and Yuan, Y. C.},
title = {Clustering of rare events},
year = {1983},
journal = {Biometrics},
volume = {39},
pages = {193--205}
}

@article{gomez-rubio+ferrandiz+lopez:2003,
   author    = {V. G\'omez-Rubio and J. Ferr\'andiz-Ferragud and A. L\'opez-Qu\'ilez},
   title     = {Detecting Clusters of Disease with {R}},
   journal   = {Journal of Geographical Systems},
   pages     = {189-206},
   year      = {2005},
   volume    = {7}
}

@book{WallerGotway:2004,
author = {Waller, L. A. and Gotway, C. A.},
title = {Applied Spatial Statistics for Public Health Data},
year = {2004},
publisher = {John Wiley \& Sons},
address = {Hoboken, NJ}
}

@article{matula+sokal:80,
   author    = {Matula, D. W. and Sokal, R. R.},
   title     = {Properties of {G}abriel graphs relevant to geographic variation research and the clustering of points in the plane},
   journal   = {Geographical Analysis},
   pages     = {205--222},
   year      = {1980},
   volume    = {12}
}

@article{toussaint:80,
   author    = {Toussaint, G. T.},
   title     = {The relative neighborhood graph of a finite planar set},
   journal   = {Pattern Recognition},
   pages     = {261--268},
   year      = {1980},
   volume    = {12}
}

@book{osullivan+unwin:03,
author = {O'Sullivan, D. and Unwin, D. J.},
title = {Geographical Information Analysis},
year = {2003},
publisher = {Wiley},
address = {Hoboken, NJ}
}

@incollection{avis+horton:1985,
author = {Avis, D. and Horton, J.},
title = {Remarks on the sphere of influence graph},
booktitle = {Discrete Geometry and Convexity},
editor = {Goodman, J. E.},
   pages     = {323--327},
year = {1985},
publisher = {New York Academy of Sciences, New York},
address = {New York}
}

@article{dray+legendre+peres-neto:06,
   author    = {Dray, S. and Legendre, P. and Peres-Neto, P. R.},
   title     = {Spatial modeling: A comprehensive framework for principle coordinate analysis of neighbor matrices ({PCNM})},
   journal   = {Ecological Modelling},
   pages     = {483--493},
   year      = {2006},
   volume    = {196}
}

@article{griffith+peres-neto:06,
   author    = {Griffith, D. A. and Peres-Neto, P. R.},
   title     = {Spatial modeling in ecology: The flexibility of eigenfunction spatial
  analyses},
   journal   = {Ecology},
   pages     = {2603--2613},
   year      = {2006},
   volume    = {87}
}

@article{tiefelsdorf+griffith:07,
   author    = {Tiefelsdorf, M. and Griffith, D. A.},
   title     = {Semiparametric filtering of spatial autocorrelation: The eigenvector approach},
   journal   = {Environment and Planning A},
   pages     = {1193--1221},
   year      = {2007},
   volume    = {39}
}

@book{bivandetal:08,
  author = {Roger S. Bivand and Edzer J. Pebesma and Virgilio G{\'o}mez-Rubio},
  title = {Applied Spatial Data Analysis with {R}},
  publisher = {Springer},
  year = 2008,
  address = {New York}
}

@article{bivandetal:09,
   author = {R. S. Bivand and W. M\"{u}ller and M. Reder},
   title = {Power Calculations for Global and Local {M}oran's {$I$}},
   journal = {Computational Statistics and Data Analysis},
   year = {2009},
   volume = {53},
   pages = {2859--2872}
}

@incollection{cliff+ord:69,
author={Cliff, A. D. and J. K. Ord},
year={1969},
title={The problem of Spatial autocorrelation},
booktitle={London Papers in Regional Science 1, Studies in Regional Science},
editor={A. J. Scott},
publisher={Pion},
address={London},
pages={25--55}
}

@book{cliff+ord:73,
   author = {Cliff, A. D. and Ord, J. K.},
   title = {Spatial Autocorrelation},
   year = {1973},
   publisher = {Pion},
   address = {London}
}

@article{geary:54,
   author = {Geary, R. C.},
   title = {The contiguity ratio and statistical mapping},
   year = {1954},
   journal = {The Incorporated Statistician},
   volume = {5},
   pages = {115--145}
}

@article{joanes+gill:98,
   author    = {Joanes, D. N. and C. A. Gill},
   title     = {Comparing measures of sample skewness and kurtosis},
   journal   = {The Statistician},
   pages     = {183--189},
   year      = {1998},
   volume    = {47}
}

@article{lietal:07,
title = "Beyond {Moran's} {I}: testing for spatial dependence based on the spatial autoregressive model",
journal = "Geographical Analysis",
volume = "39",
pages = "357--375",
year = "2007",
author = "Hongfei Li and Catherine A. Calder and Noel Cressie"
}

@article{moran:50,
author={Moran, P. A. P.},
title={Notes on continuous stochastic phenomena},
journal={Biometrika},
year={1950},
volume={37},
pages={17--23}
}

@book{tiefelsdorf:00,
   author = {Tiefelsdorf, M.},
   title = {Modelling Spatial Processes: The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of {Moran}'s {$I$}},
   publisher = {Springer},
   address = {Berlin},
   year = {2000}
}

@article{tiefelsdorf:02,
   author = {Tiefelsdorf, M.},
   title = {The Saddlepoint approximation of {Moran}'s {I} 
     and local {Moran}'s ${I}_i$ reference distributions and their numerical
     evaluation},
   journal = {Geographical Analysis},
   volume = {34},
   pages = {187--206},
   year = {2002},
}

@inproceedings{anselin+syabri+smirnov:2002,
	title = {Visualizing multivariate spatial correlation with dynamically linked windows},
	abstract = {Several recent efforts have focused on adding exploratory data analysis functionality to geographic information systems (GIS) by integrating established statistical software with a GIS. In this paper, we outline an alternative approach, where the functionality is built from scratch, using a combination of small libraries of dedicated functions, rather than relying on the full scope of existing software suites. The suggested approach is modular and freestanding. Within an overall framework of dynamically linked windows, it combines a cartographic representation of data on a map with traditional statistical graphics, such as histograms, box plots, and scatterplots. It extends earlier work on the visualization of spatial autocorrelation to a multivariate setting, introducing a Moran Scatterplot Matrix and Multivariate LISA Maps. The new program (DynESDA2) works on both point and polygon coverages, implements true brushing of maps, as well as the usual linking and brushing between maps and statistical graphs.},
	booktitle = {University of {California}, {Santa} {Barbara}. {CD}-{ROM}},
	author = {Anselin, Luc and Syabri, Ibnu and Smirnov, Oleg},
	year = {2002}
}
@article{JSSv091i01,
   author = {Michael Hahsler and Matthew Piekenbrock and Derek Doran},
   title = {dbscan: Fast Density-Based Clustering with R},
   journal = {Journal of Statistical Software, Articles},
   volume = {91},
   number = {1},
   year = {2019},
   pages = {1--30},
   doi = {10.18637/jss.v091.i01},
   url = {https://www.jstatsoft.org/v091/i01}
}