Alam, Moudud, Lars Rönnegård, and Xia Shen. 2015. “Fitting Conditional and Simultaneous Autoregressive Spatial Models in Hglm.” The R Journal 7 (2): 5–18.

Anselin, L. 1995. “Local indicators of spatial association - LISA.” Geographical Analysis 27 (2): 93–115.

Anselin, L. 1988. Spatial Econometrics: Methods and Models. Kluwer Academic Publishers.

———. 1996. “The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association.” In Spatial Analytical Perspectives on GIS, edited by M. M. Fischer, H. J. Scholten, and D. Unwin, 111–25. London: Taylor & Francis.

Assunção, R.M., and E. A. Reis. 1999. “A New Proposal to Adjust Moran’s \(I\) for Population Density.” Statistics in Medicine 18: 2147–62.

Avis, D., and J. Horton. 1985. “Remarks on the Sphere of Influence Graph.” In Discrete Geometry and Convexity, edited by J. E. Goodman, 323–27. New York: New York Academy of Sciences, New York.

Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2015. Spatial Point Patterns: Methodology and Applications with R. Chapman; Hall/CRC.

Baddeley, Adrian, Rolf Turner, and Ege Rubak. 2018. Spatstat: Spatial Point Pattern Analysis, Model- Fitting, Simulation, Tests.

Bavaud, F. 1998. “Models for Spatial Weights: A Systematic Look.” Geographical Analysis 30: 153–71. doi:10.1111/j.1538-4632.1998.tb00394.x.

Besag, Julian. 1974. “Spatial Interaction and the Statistical Analysis of Lattice Systems.” Journal of the Royal Statistical Society. Series B (Methodological) 36: pp. 192–236.

BIPM, IEC, ILAC IFCC, IUPAP IUPAC, and OIML ISO. 2012. “The International Vocabulary of Metrology–Basic and General Concepts and Associated Terms (Vim), 3rd Edn. Jcgm 200: 2012.” JCGM (Joint Committee for Guides in Metrology).

Bivand, R. S. 1984. “Regression Modeling with Spatial Dependence: an Application of Some Class Selection and Estimation Methods.” Geographical Analysis 16: 25–37.

———. 2002. “Spatial Econometrics Functions in R: Classes and Methods.” Journal of Geographical Systems 4: 405–21.

Bivand, R. S., and B. A. Portnov. 2004. “Exploring Spatial Data Analysis Techniques Using R: The Case of Observations with No Neighbours.” In Advances in Spatial Econometrics: Methodology, Tools, Applications, edited by L. Anselin, R. J. G. M. Florax, and S. J. Rey, 121–42. Berlin: Springer.

Bivand, R. S., W. Müller, and M. Reder. 2009. “Power Calculations for Global and Local Moran’s \(I\).” Computational Statistics and Data Analysis 53: 2859–72.

Bivand, Roger. 2017. “Revisiting the Boston Data Set — Changing the Units of Observation Affects Estimated Willingness to Pay for Clean Air.” REGION 4 (1): 109–27. doi:10.18335/region.v4i1.107.

———. 2019a. ClassInt: Choose Univariate Class Intervals.

———. 2019b. Spdep: Spatial Dependence: Weighting Schemes, Statistics.

Bivand, Roger S. 2012. “After ’Raising the Bar’: Applied Maximum Likelihood Estimation of Families of Models in Spatial Econometrics.” Estadística Española 54: 71–88.

Bivand, Roger S., and Gianfranco Piras. 2015. “Comparing Implementations of Estimation Methods for Spatial Econometrics.” Journal of Statistical Software 63 (1): 1–36. doi:10.18637/jss.v063.i18.

Bivand, Roger S., and David W. S. Wong. 2018. “Comparing Implementations of Global and Local Indicators of Spatial Association.” TEST 27 (3): 716–48. doi:10.1007/s11749-018-0599-x.

Bivand, Roger S., Jan Hauke, and Tomasz Kossowski. 2013. “Computing the Jacobian in Gaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods.” Geographical Analysis 45 (2): 150–79. doi:10.1111/gean.12008.

Bivand, Roger S., Edzer Pebesma, and Virgilio Gomez-Rubio. 2013. Applied Spatial Data Analysis with R, Second Edition. Springer, NY.

Bivand, Roger S., Zhe Sha, Liv Osland, and Ingrid Sandvig Thorsen. 2017. “A Comparison of Estimation Methods for Multilevel Models of Spatially Structured Data.” Spatial Statistics.

Blangiardo, Marta, and Michela Cameletti. 2015. Spatial and Spatio-Temporal Bayesian Models with R-Inla. John Wiley & Sons.

Blangiardo, Marta, Michela Cameletti, Gianluca Baio, and Håvard Rue. 2013. “Spatial and Spatio-Temporal Models with R-Inla.” Spatial and Spatio-Temporal Epidemiology 4: 33–49. doi:

Boots, B., and A. Okabe. 2007. “Local Statistical Spatial Analysis: Inventory and Prospect.” International Journal of Geographical Information Science 21 (4). Taylor & Francis: 355–75. doi:10.1080/13658810601034267.

Brooks, Mollie E., Kasper Kristensen, Koen J. van Benthem, Arni Magnusson, Casper W. Berg, Anders Nielsen, Hans J. Skaug, Martin Maechler, and Benjamin M. Bolker. 2017. “glmmTMB Balances Speed and Flexibility Among Packages for Zero-Inflated Generalized Linear Mixed Modeling.” The R Journal 9 (2): 378–400.

Brown, Paul G. 2010. “Overview of SciDB: Large Scale Array Storage, Processing and Analysis.” In Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, 963–68. ACM.

Bureau International des Poids et Mesures. 2006. The International System of Units (SI), 8th Edition. Organisation Intergouvernementale de la Convention du Mètre.

Burridge, P. 1981. “Testing for a Common Factor in a Spatial Autoregression Model.” Environment and Planning A 13: 795–800.

Butler, H., M. Daly, A. Doyl, S. Gillies, S. Hagen, and T. Schaub. 2016. “The Geojson Format.” Vol. Request for Comments: 7946. Internet Engineering Task Force (IETF).

Chambers, John. 2016. Extending R. CRC Press.

Chun, Yongwan, and Daniel A. Griffith. 2013. Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Technology. Thousand Oaks, CA: Sage.

Clementini, Eliseo, Paolino Di Felice, and Peter van Oosterom. 1993. “A Small Set of Formal Topological Relationships Suitable for End-User Interaction.” In Advances in Spatial Databases, edited by David Abel and Beng Chin Ooi, 277–95. Berlin, Heidelberg: Springer Berlin Heidelberg.

Cliff, A. D., and J. K. Ord. 1973. Spatial Autocorrelation. London: Pion.

———. 1981. Spatial Processes. London: Pion.

Cliff, A., and J.K. Ord. 1972. “Testing for Spatial Autocorrelation Among Regression Residuals.” Geographical Analysis 4: 267–84.

Cobb, George W., and David S. Moore. 1997. “Mathematics, Statistics and Teaching.” The American Mathematical Monthly 104 (9): 801–23.

Cressie, N. A. C. 1993. Statistics for Spatial Data. New York:Wiley.

Davies, Tilman, and David Bryant. 2013. “On Circulant Embedding for Gaussian Random Fields in R.” Journal of Statistical Software, Articles 55 (9): 1–21. doi:10.18637/jss.v055.i09.

Do, Van Huyen, Christine Thomas-Agnan, and Anne Vanhems. 2015a. “Accuracy of Areal Interpolation Methods for Count Data.” Spatial Statistics 14: 412–38. doi:10.1016/j.spasta.2015.07.005.

———. 2015b. “Spatial Reallocation of Areal Data: A Review.” Rev. Econ. Rég. Urbaine 1/2: 27–58.

Dong, G., and R. Harris. 2015. “Spatial Autorgressive Models for Geographically Hierarchical Data Structures.” Geographical Analysis 47 (2): 173–91.

Dong, G., R. Harris, K. Jones, and J. Yu. 2015. “Multilevel Modeling with Spatial Interaction Effects with Application to an Emerging Land Market in Beijing, China.” PLOS One 10 (6). doi:doi:10.1371/journal.pone.0130761.

Duncan, O. D., R. P. Cuzzort, and B. Duncan. 1961. Statistical Geography: Problems in Analyzing Areal Data. Glencoe, IL: Free Press.

Egenhofer, Max J., and Robert D. Franzosa. 1991. “Point-Set Topological Spatial Relations.” International Journal of Geographical Information Systems 5 (2). Taylor & Francis: 161–74. doi:10.1080/02693799108927841.

Elhorst, J. Paul. 2010. “Applied Spatial Econometrics: Raising the Bar.” Spatial Economic Analysis 5: 9–28.

Fingleton, B. 1999. “Spurious spatial regression: Some Monte Carlo results with a spatial unit root and spatial cointegration.” Journal of Regional Science 9: 1–19.

Flater, David. 2018. “Architecture for Software-Assisted Quantity Calculus.” Computer Standards & Interfaces 56: 144–47. doi:10.1016/j.csi.2017.10.002.

Gabriel, Edith, Barry Rowlingson, and Peter Diggle. 2013. “Stpp: An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns.” Journal of Statistical Software, Articles 53 (2): 1–29. doi:10.18637/jss.v053.i02.

Gaetan, Carlo, and Xavier Guyon. 2010. Spatial Statistics and Modeling. New York: Springer.

Geary, R. C. 1954. “The Contiguity Ratio and Statistical Mapping.” The Incorporated Statistician 5: 115–45.

Getis, A., and J. K. Ord. 1992. “The Analysis of Spatial Association by the Use of Distance Statistics.” Geographical Analysis 24 (2): 189–206.

———. 1996. “Local Spatial Statistics: An Overview.” In Spatial Analysis: Modelling in a Gis Environment, edited by P. Longley and M Batty, 261–77. Cambridge: GeoInformation International.

Gómez-Rubio, Virgilio, Roger Bivand, and Håvard Rue. 2015. “A New Latent Class to Fit Spatial Econometrics Models with Integrated Nested Laplace Approximations.” Procedia Environmental Sciences 27: 116–18. doi:

Goodchild, Michael F, and Nina Siu Ngan Lam. 1980. Areal Interpolation: A Variant of the Traditional Spatial Problem. Department of Geography, University of Western Ontario London, ON, Canada.

Gorelick, Noel, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore. 2017. “Google Earth Engine: Planetary-Scale Geospatial Analysis for Everyone.” Remote Sensing of Environment 202: 18–27. doi:10.1016/j.rse.2017.06.031.

Goulard, Michel, Thibault Laurent, and Christine Thomas-Agnan. 2017. “About Predictions in Spatial Autoregressive Models: Optimal and Almost Optimal Strategies.” Spatial Economic Analysis 12 (2-3). Routledge: 304–25. doi:10.1080/17421772.2017.1300679.

Gräler, Benedikt, Edzer Pebesma, and Gerard Heuvelink. 2016. “Spatio-Temporal Interpolation using gstat.” The R Journal 8 (1): 204–18. doi:10.32614/RJ-2016-014.

Griffith, D. A. 2010. “Spatial Filtering.” In Handbook of Applied Spatial Analysis, edited by Manfred Fischer and Arthur Getis, 301–18. Heidelberg: Springer.

Griffith, Daniel A. 2003. Spatial Autocorrelation and Spatial Filtering. New York: Springer.

Griffith, Daniel, Roger Bivand, and Yongwan Chun. 2015. “Implementing Approximations to Extreme Eigenvalues and Eigenvalues of Irregular Surface Partitionings for Use in Sar and Car Models.” Procedia Environmental Sciences 26: 119–22. doi:

Halleck Vega, Solmaria, and J. Paul Elhorst. 2015. “The SLX Model.” Journal of Regional Science 55 (3): 339–63. doi:10.1111/jors.12188.

Hand, David J. 2004. Measurement: Theory and Practice. A Hodder Arnold Publication.

Healy, Kieran. 2018. Data Visualization, a Practical Introduction. Princeton University Press.

Heaton, Matthew J., Abhirup Datta, Andrew O. Finley, Reinhard Furrer, Joseph Guinness, Rajarshi Guhaniyogi, Florian Gerber, et al. 2018. “A Case Study Competition Among Methods for Analyzing Large Spatial Data.” Journal of Agricultural, Biological and Environmental Statistics, December. doi:10.1007/s13253-018-00348-w.

Hepple, L. W. 1998. “Exact Testing for Spatial Autocorrelation Among Regression Residuals.” Environment and Planning A 30: 85–108.

Hepple, Leslie W. 1976. “A Maximum Likelihood Model for Econometric Estimation with Spatial Series.” In Theory and Practice in Regional Science, edited by I. Masser, 90–104. London Papers in Regional Science. London: Pion.

Herring, John R. 2010. “OpenGIS Implementation Standard for Geographic Information-Simple Feature Access-Part 2: SQL Option.” Open Geospatial Consortium Inc.

———. 2011. “OpenGIS Implementation Standard for Geographic Information-Simple Feature Access-Part 1: Common Architecture.” Open Geospatial Consortium Inc, 111.

Iliffe, Jonathan, and Roger Lott. 2008. Datums and Map Projections for Remote Sensing, Gis, and Surveying. Whittles Pub. CRC Press, Scotland, UK.

ISO. 2004. Geographic Information – Simple Feature Access – Part 1: Common Architecture.

ISO8601, ISO. 2000. “Data Elements and Interchange Formats–Information Interchange–Representation of Dates and Times.” ISO/Tc154.

Journel, Andre G, and Charles J Huijbregts. 1978. Mining Geostatistics. Academic press London.

Kaluzny, S.P., S.C. Vega, T.P. Cardoso, and A.A. Shelly. 1998. S+SpatialStats. New York, NY: Springer.

Karney, Charles FF. 2013. “Algorithms for Geodesics.” Journal of Geodesy 87 (1). Springer: 43–55.

Kelejian, Harry, and Gianfranco Piras. 2017. Spatial Econometrics. London: Academic Press.

LeSage, J. P. 2014. “What Regional Scientists Need to Know About Spatial Econometrics.” Review of Regional Studies 44: 13–32.

LeSage, James P., and Kelley R. Pace. 2009. Introduction to Spatial Econometrics. Boca Raton, FL: CRC Press.

Li, Hongfei, Catherine A. Calder, and Noel Cressie. 2007. “Beyond Moran’s I: Testing for Spatial Dependence Based on the Spatial Autoregressive Model.” Geographical Analysis 39: 357–75.

———. 2012. “One-Step Estimation of Spatial Dependence Parameters: Properties and Extensions of the APLE Statistic.” Journal of Multivariate Analysis 105: 68–84.

Lieshout, M. N. M. van. 2019. Theory of Spatial Statistics. Boca Raton, FL: Chapman; Hall/CRC.

Lott, Roger. 2015. “Geographic Information-Well-Known Text Representation of Coordinate Reference Systems.” Open Geospatial Consortium.

Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2019. Geocomputation with R. Chapman; Hall/CRC.

Lu, Meng, Marius Appel, and Edzer Pebesma. 2018. “Multidimensional Arrays for Analysing Geoscientific Data.” ISPRS International Journal of Geo-Information 7 (8). Multidisciplinary Digital Publishing Institute: 313.

Martinetti, Davide, and Ghislain Geniaux. 2017. “Approximate Likelihood Estimation of Spatial Probit Models.” Regional Science and Urban Economics 64: 30–45. doi:

McMillen, D. P. 2013. Quantile Regression for Spatial Data. Heidelberg: Springer-Verlag.

McMillen, Daniel P. 2003. “Spatial Autocorrelation or Model Misspecification?” International Regional Science Review 26: 208–17.

Millo, Giovanni, and Gianfranco Piras. 2012. “splm: Spatial Panel Data Models in R.” Journal of Statistical Software 47 (1): 1–38.

Moran, P. A. P. 1948. “The Interpretation of Statistical Maps.” Journal of the Royal Statistical Society, Series B (Methodological) 10 (2): 243–51.

Moreno, Mel, and Mathieu Basille. 2018a. Drawing Beautiful Maps Programmatically with R, Sf and Ggplot2 - Part 1: Basics.

———. 2018b. Drawing Beautiful Maps Programmatically with R, Sf and Ggplot2 — Part 2: Layers.

———. 2018c. Drawing Beautiful Maps Programmatically with R, Sf and Ggplot2 — Part 3: Layouts.

Mur, Jesús, and Ana Angulo. 2006. “The Spatial Durbin Model and the Common Factor Tests.” Spatial Economic Analysis 1 (2). Routledge: 207–26. doi:10.1080/17421770601009841.

Okabe, A., T. Satoh, T. Furuta, A. Suzuki, and K. Okano. 2008. “Generalized Network Voronoi Diagrams: Concepts, Computational Methods, and Applications.” International Journal of Geographical Information Science 22 (9). Taylor & Francis: 965–94. doi:10.1080/13658810701587891.

Ord, J. K. 1975. “Estimation Methods for Models of Spatial Interaction.” Journal of the American Statistical Association 70 (349): 120–26.

Ord, J. K., and A. Getis. 2001. “Testing for Local Spatial Autocorrelation in the Presence of Global Autocorrelation.” Journal of Regional Science 41 (3): 411–32.

———. 2012. “Local Spatial Heteroscedasticity (LOSH).” Annals of Regional Science 48 (2): 529–39.

Pace, R. K., and R. P. Barry. 1997a. “Fast CARs.” Journal of Statistical Computation and Simulation 59 (2): 123–45.

———. 1997b. “Quick computation of spatial autoregressive estimators.” Geographics Analysis 29 (3): 232–47.

———. 1997c. “Sparse spatial autoregressions.” Statistics & Probability Letters 33 (3): 291–97.

———. 1997d. “Fast spatial estimation.” Applied Economics Letters 4 (5): 337–41.

Pace, RK, and JP LeSage. 2008. “A Spatial Hausman Test.” Economics Letters 101: 282–84.

Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. doi:10.32614/RJ-2018-009.

———. 2020a. Lwgeom: Bindings to Selected ’Liblwgeom’ Functions for Simple Features.

———. 2020b. Sf: Simple Features for R.

———. 2020c. Stars: Spatiotemporal Arrays, Raster and Vector Data Cubes.

Pebesma, Edzer J. 2004. “Multivariable Geostatistics in S: The Gstat Package.” Computers & Geosciences 30: 683–91.

Pebesma, Edzer, and Benedikt Graeler. 2020. Gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation.

Pebesma, Edzer, Thomas Mailund, and James Hiebert. 2016a. “Measurement Units in R.” The R Journal 8 (2): 486–94. doi:10.32614/RJ-2016-061.

———. 2016b. “Measurement Units in R.” The R Journal 8 (2): 486–94. doi:10.32614/RJ-2016-061.

Pinheiro, Jose C., and Douglas M. Bates. 2000. Mixed-Effects Models in S and S-Plus. New York: Springer.

Piras, Gianfranco. 2010. “sphet: Spatial Models with Heteroskedastic Innovations in R.” Journal of Statistical Software 35 (1): 1–21.

Ripley, B. D. 1981. Spatial Statistics. New York: Wiley.

———. 1988. Statistical Inference for Spatial Processes. Cambridge: Cambridge University Press.

Scheider, Simon, Benedikt Gräler, Edzer Pebesma, and Christoph Stasch. 2016. “Modeling Spatiotemporal Information Generation.” International Journal of Geographical Information Science 30 (10). Taylor & Francis: 1980–2008. doi:10.1080/13658816.2016.1151520.

Schlather, Martin. 2011. “Construction of Covariance Functions and Unconditional Simulation of Random Fields.” In Porcu, E., Montero, J.m. and Schlather, M., Space-Time Processes and Challenges Related to Environmental Problems. New York: Springer.

She, Bing, Xinyan Zhu, Xinyue Ye, Wei Guo, Kehua Su, and Jay Lee. 2015. “Weighted Network Voronoi Diagrams for Local Spatial Analysis.” Computers, Environment and Urban Systems 52: 70–80. doi:

Smith, T. E., and K. L. Lee. 2012. “The effects of spatial autoregressive dependencies on inference in ordinary least squares: a geometric approach.” Journal of Geographical Systems 14 (January): 91–124. doi:10.1007/s10109-011-0152-x.

Smith, Tony E. 2009. “Estimation Bias in Spatial Models with Strongly Connected Weight Matrices.” Geographical Analysis 41 (3): 307–32. doi:10.1111/j.1538-4632.2009.00758.x.

Stasch, Christoph, Simon Scheider, Edzer Pebesma, and Werner Kuhn. 2014. “Meaningful Spatial Prediction and Aggregation.” Environmental Modelling & Software 51: 149–65. doi:10.1016/j.envsoft.2013.09.006.

Stoyan, Dietrich, Francisco J. Rodríguez-Cortés, Jorge Mateu, and Wilfried Gille. 2017. “Mark Variograms for Spatio-Temporal Point Processes.” Spatial Statistics 20: 125–47. doi:

Suesse, Thomas. 2018. “Marginal Maximum Likelihood Estimation of Sar Models with Missing Data.” Computational Statistics & Data Analysis 120: 98–110. doi:

Tiefelsdorf, M. 2002. “The Saddlepoint Approximation of Moran’s I and Local Moran’s \({I}_i\) Reference Distributions and Their Numerical Evaluation.” Geographical Analysis 34: 187–206.

Tiefelsdorf, M., and B. N. Boots. 1995. “The Exact Distribution of Moran’s I.” Environment and Planning A 27: 985–99.

———. 1997. “A Note on the Extremities of Local Moran’s I and Their Impact on Global Moran’s I.” Geographical Analysis 29: 248–57.

Tiefelsdorf, M., D. A. Griffith, and B. Boots. 1999. “A Variance-Stabilizing Coding Scheme for Spatial Link Matrices.” Environment and Planning A 31: 165–80.

Umlauf, Nikolaus, Daniel Adler, Thomas Kneib, Stefan Lang, and Achim Zeileis. 2015. “Structured Additive Regression Models: An R Interface to BayesX.” Journal of Statistical Software 63 (21): 1–46.

Upton, G., and B. Fingleton. 1985. Spatial Data Analysis by Example: Point Pattern and Qualitative Data. New York: Wiley.

Ver Hoef, Jay M, and Noel Cressie. 1993. “Multivariable Spatial Prediction.” Mathematical Geology 25 (2). Springer: 219–40.

Wagner, Martin, and Achim Zeileis. 2019. “Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach.” German Economic Review 20 (1): 67–82. doi:10.1111/geer.12146.

Wall, M. M. 2004. “A Close Look at the Spatial Structure Implied by the CAR and SAR Models.” Journal of Statistical Planning and Inference 121: 311–24.

Waller, Lance A., and Carol A. Gotway. 2004. Applied Spatial Statistics for Public Health Data. Hoboken, NJ: John Wiley & Sons.

Westerholt, Rene, Bernd Resch, and Alexander Zipf. 2015. “A Local Scale-Sensitive Indicator of Spatial Autocorrelation for Assessing High- and Low-Value Clusters in Multiscale Datasets.” International Journal of Geographical Information Science 29 (5): 868–87. doi:10.1080/13658816.2014.1002499.

Westerholt, Rene, Bernd Resch, Franz-Benjamin Mocnik, and Dirk Hoffmeister. 2018. “A Statistical Test on the Local Effects of Spatially Structured Variance.” International Journal of Geographical Information Science 32 (3): 571–600. doi:10.1080/13658816.2017.1402914.

Whittle, P. 1954. “On Stationary Processes in the Plane.” Biometrika 41 (3-4): 434–49. doi:10.1093/biomet/41.3-4.434.

Wickham, Hadley. 2014a. Advanced R. CRC Press.

———. 2014b. “Tidy Data.” Journal of Statistical Software 59 (1).

———. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer.

———. 2017. Tidyverse: Easily Install and Load the ’Tidyverse’.

Wickham, Hadley, and Garret Grolemund. 2017. R for Data Science. O’Reilly.

Wikle, Christopher K, Andrew Zammit-Mangion, and Noel Cressie. 2019. Spatio-Temporal Statistics with R. CRC Press.

Wilhelm, Stefan, and Miguel Godinho de Matos. 2013. “Estimating Spatial Probit Models in R.” The R Journal 5 (1): 130–43. doi:10.32614/RJ-2013-013.

Wilke, Claus O. 2019. Fundamentals of Data Visualization. O’Reilly Media, Inc.

Wilkinson, Leland. 2006. The Grammar of Graphics. Springer Science & Business Media.

Wood, S.N. 2017. Generalized Additive Models: An Introduction with R. 2nd ed. Chapman; Hall/CRC.

Xu, M., C. L. Mei, and N. Yan. 2014. “A Note on the Null Distribution of the Local Spatial Heteroscedasticity (LOSH) Statistic.” Annals of Regional Science 52 (3): 697–710.