References

Allaire, JJ. 2022. Quarto: R Interface to “Quarto” Markdown Publishing System. https://CRAN.R-project.org/package=quarto.
Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2022. Rmarkdown: Dynamic Documents for r. https://CRAN.R-project.org/package=rmarkdown.
Anselin, Luc. 1995. Local Indicators of Spatial Association - LISA.” Geographical Analysis 27: 93–115. https://doi.org/https://doi.org/10.1111/j.1538-4632.1995.tb00338.x.
Appelhans, Tim, and Florian Detsch. 2021. Leafpop: Include Tables, Images and Graphs in Leaflet Pop-Ups. https://github.com/r-spatial/leafpop.
Appelhans, Tim, Florian Detsch, Christoph Reudenbach, and Stefan Woellauer. 2022. Mapview: Interactive Viewing of Spatial Data in r. https://github.com/r-spatial/mapview.
Appelhans, Tim, and Kenton Russell. 2019. Leafsync: Small Multiples for Leaflet Web Maps. https://github.com/r-spatial/leafsync.
Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2016. Spatial Point Patterns. Methodology and Applications with r. Chapman & Hall/CRC.
Baddeley, Adrian, Rolf Turner, and Ege Rubak. 2022. Spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests. http://spatstat.org/.
Banerjee, Sudipto, Bradley P. Carlin, and Alan E. Gelfand. 2004. Hierarchical Modeling and Analysis for Spatial Data. Chapman & Hall/CRC.
Besag, Julian, Jeremy York, and Annie Mollié. 1991. “Bayesian Image Restoration with Applications in Spatial Statistics (with Discussion).” Annals of the Institute of Statistical Mathematics 43: 1–59. https://doi.org/10.1007/BF00116466.
Bivand, Roger. 2022. Spdep: Spatial Dependence: Weighting Schemes, Statistics. https://CRAN.R-project.org/package=spdep.
Bivand, Roger, Tim Keitt, and Barry Rowlingson. 2023. Rgdal: Bindings for the Geospatial Data Abstraction Library. https://CRAN.R-project.org/package=rgdal.
Bivand, Roger, and Nicholas Lewin-Koh. 2022. Maptools: Tools for Handling Spatial Objects. https://CRAN.R-project.org/package=maptools.
Bivand, Roger, Jakub Nowosad, and Robin Lovelace. 2022. spData: Datasets for Spatial Analysis. https://jakubnowosad.com/spData/.
Bivand, Roger, and Colin Rundel. 2022. Rgeos: Interface to Geometry Engine - Open Source (GEOS). https://CRAN.R-project.org/package=rgeos.
Boyandin, Ilya. 2023. Flowmapblue: Flow Map Rendering.
Brownrigg, Ray. 2022. Maps: Draw Geographical Maps. https://CRAN.R-project.org/package=maps.
Cameletti, Michela, Finn Lindgren, Daniel Simpson, and Håvard Rue. 2013. “Spatio-Temporal Modeling of Particulate Matter Concentration Through the SPDE Approach.” AStA Advances in Statistical Analysis 97 (2): 109–31. https://doi.org/10.1007/s10182-012-0196-3.
Carslaw, David, Jack Davison, and Karl Ropkins. 2023. Openair: Tools for the Analysis of Air Pollution Data. https://davidcarslaw.github.io/openair/.
Chamberlain, Scott. 2021. Spocc: Interface to Species Occurrence Data Sources. https://CRAN.R-project.org/package=spocc.
Chang, Winston. 2022a. Webshot: Take Screenshots of Web Pages. https://CRAN.R-project.org/package=webshot.
———. 2022b. Webshot2: Take Screenshots of Web Pages. https://github.com/rstudio/webshot2.
Chang, Winston, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke, Yihui Xie, Jeff Allen, Jonathan McPherson, Alan Dipert, and Barbara Borges. 2022. Shiny: Web Application Framework for r. https://shiny.rstudio.com/.
Chang, Winston, and Barret Schloerke. 2022. Chromote: Headless Chrome Web Browser Interface. https://github.com/rstudio/chromote.
Cheng, Joe, Bhaskar Karambelkar, and Yihui Xie. 2022. Leaflet: Create Interactive Web Maps with the JavaScript Leaflet Library. https://rstudio.github.io/leaflet/.
Cheng, Joe, Carson Sievert, Barret Schloerke, Winston Chang, Yihui Xie, and Jeff Allen. 2022. Htmltools: Tools for HTML. https://CRAN.R-project.org/package=htmltools.
Cressie, Noel A. C. 1993. Statistics for Spatial Data. New York: John Wiley & Sons.
Davies, Tilman M., and Jonathan C. Marshall. 2023. Sparr: Spatial and Spatiotemporal Relative Risk. https://CRAN.R-project.org/package=sparr.
de Sousa, Kaue, Adam H. Sparks, and Aniruddha Ghosh. 2022. Chirps: API Client for CHIRPS and CHIRTS. https://docs.ropensci.org/chirps/.
Diggle, Peter J. 2014. Statistical Analysis of Spatial and Spatio-Temporal Point Patterns. CRC Press.
Diggle, Peter J., Raquel Menezes, and Ting-li Su. 2010. Geostatistical inference under preferential sampling.” Journal of the Royal Statistical Society: Series C 59: 191–232.
Diggle, Peter J., Paula Moraga, Barry Rowlingson, and Benjamin M. Taylor. 2013. Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm.” Statistical Science 28 (4): 542–63. https://doi.org/10.1214/13-STS441.
Diggle, Peter J., and Paulo J. Ribeiro Jr. 2007. Model-Based Geostatistics. 1st ed. Springer Series in Statistics.
Diggle, Peter J., Jonathan A. Tawn, and Rana A. Moyeed. 1998. “Model-Based Geostatistics.” Journal of the Royal Statistical Society. Series C (Applied Statistics) 47 (3): 299–350. https://doi.org/https://www.jstor.org/stable/2986101.
Freni-Sterrantino, Anna, Massimo Ventrucci, and Håvard Rue. 2018. A note on intrinsic conditional autoregressive models for disconnected graphs.” Spatial and Spatio-Temporal Epidemiology, no. 26: 25–34.
Garnier, Simon. 2021. Viridis: Colorblind-Friendly Color Maps for r. https://CRAN.R-project.org/package=viridis.
Gatrell, Anthony C., Trevor C. Bailey, Peter J. Diggle, and Barry S. Rowlingson. 1996. Spatial Point Pattern Analysis and Its Application in Geographical Epidemiology.” Transactions of the Institute of British Geographers 21 (1): 256–74. https://doi.org/https://www.jstor.org/stable/622936.
Geary, R. C. 1954. The Contiguity Ratio and Statistical Mapping.” The Incorporated Statistician 5 (3): 115–46. https://doi.org/https://doi.org/10.2307/2986645.
Gelman, Andrew, J. B. Carlin, H. S. Stern, D. B. Dunson, A. Vehtari, and D. B. Rubin. 2013. Bayesian Data Analysis. Chapman; Hall/CRC.
Gómez, Mario J., Luis A Barboza, Paola Vásquez, and Paula Moraga. 2023. Bayesian spatial modeling of childhood overweight and obesity prevalence in Costa Rica.” BMC Public Health 23 (1): 1–11.
Gómez-Rubio, Virgilio. 2020. Bayesian Inference with INLA. Boca Raton, Florida: Chapman & Hall/CRC.
González, Jonatan A., and Paula Moraga. 2022. An adaptive kernel estimator for the intensity function of spatio-temporal point processes.”
———. 2023a. A multitype Fiksel interaction model for tumour immune microenvironments.”
———. 2023b. Non-parametric analysis of spatial and spatio-temporal point patterns.” The R Journal 15: 65–82. https://doi.org/10.32614/RJ-2023-025.
———. 2023c. On adaptive kernel intensity estimation on linear networks.”
Gotway, Carol A., and Linda J. Young. 2002. Combining incompatible spatial data.” Journal of the American Statistical Association 97 (458): 632–48.
Grolemund, Garrett. 2014. Hands-on Programming with r. 1st ed. Sebastopol, California: O’Reilly. https://rstudio-education.github.io/hopr/index.html.
Hagan, José E., Paula Moraga, Federico Costa, Nicolas Capian, Guilherme S. Ribeiro, Elsio A. Wunder Jr., Ridalva D. M. Felzemburgh, et al. 2016. Spatio-temporal determinants of urban leptospirosis transmission: Four-year prospective cohort study of slum residents in Brazil.” Public Library of Science: Neglected Tropical Diseases 10 (1): e0004275. https://doi.org/10.1371/journal.pntd.0004275.
Held, Leonhard, Birgit Schrödle, and Håvard Rue. 2010. “Posterior and Cross-Validatory Predictive Checks: A Comparison of MCMC and INLA.” In Statistical Modelling and Regression Structures – Festschrift in Honour of Ludwig Fahrmeir, edited by T. Kneib and G. Tutz, 91–110. Berlin: Springer Verlag.
Hernangomez, Diego. 2022. mapSpain: Administrative Boundaries of Spain. https://CRAN.R-project.org/package=mapSpain.
———. 2023a. giscoR: Download Map Data from GISCO API - Eurostat. https://CRAN.R-project.org/package=giscoR.
———. 2023b. Tidyterra: Tidyverse Methods and Ggplot2 Helpers for Terra Objects. https://CRAN.R-project.org/package=tidyterra.
Hijmans, Robert J. 2022. Terra: Spatial Data Analysis. https://rspatial.org/terra/.
———. 2023. Raster: Geographic Data Analysis and Modeling. https://rspatial.org/raster.
Hijmans, Robert J., Marcia Barbosa, Aniruddha Ghosh, and Alex Mandel. 2023. Geodata: Download Geographic Data.
Hijmans, Robert J., Steven Phillips, John Leathwick, and Jane Elith. 2022. Dismo: Species Distribution Modeling. https://rspatial.org/raster/sdm/.
Hollister, Jeffrey. 2022. Elevatr: Access Elevation Data from Various APIs. https://github.com/jhollist/elevatr/.
Illian, Janine B., Sigrunn H. Sørbye, Håvard Rue, and Ditte Hendrichsen. 2012. Using INLA To Fit A Complex Point Process Model With Temporally Varying Effects - A Case Study.” Journal of Environmental Statistics 3.
Kahle, David, Hadley Wickham, and Scott Jackson. 2022. Ggmap: Spatial Visualization with Ggplot2. https://github.com/dkahle/ggmap.
Kim, Albert Y., Jon Wakefield, and Mikael Moise. 2021. SpatialEpi: Methods and Data for Spatial Epidemiology. https://github.com/rudeboybert/SpatialEpi.
Krainski, Elias T., Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren, and Håvard Rue. 2019. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using r and INLA. 1st ed. Boca Raton, Florida: Chapman & Hall/CRC. http://www.r-inla.org/spde-book.
Lawson, Andrew B., C Rotejanaprasert, Paula Moraga, and J Choi. 2015. A shared neighbor conditional autoregressive model for small area spatial data.” Environmetrics 26 (6): 383–92. https://doi.org/ https://doi.org/10.1002/env.2346.
Leasure, Douglas R, Maksym Bondarenko, Edith Darin, and Andrew J Tatem. 2023. Wopr: An r Package to Access the WorldPop Open Population Repository (WOPR).
Lindgren, Finn, and Håvard Rue. 2015. Bayesian Spatial Modelling with R-INLA.” Journal of Statistical Software 63. https://doi.org/10.18637/jss.v063.i19.
Mahmood, Mateen, André Victor Ribeiro Amaral, Jorge Mateu, and Paula Moraga. 2022. Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models.” Spatial Statistics 51: 100691.
Matheron, Georges. 1963. Principles of geostatistics.” Economic Geology 58: 1246–66.
Matheson, James E., and Robert L. Winkler. 1976. “Scoring Rules for Continuous Probability Distributions.” Management Science 22 (10): 1087–96.
Moraga, Paula. 2017. SpatialEpiApp: A Shiny Web Application for the analysis of Spatial and Spatio-Temporal Disease Data.” Spatial and Spatio-Temporal Epidemiology 23: 47–57. https://doi.org/https://doi.org/10.1016/j.sste.2017.08.001.
———. 2018a. Small Area Disease Risk Estimation and Visualization Using R.” The R Journal 10 (1): 495–506. https://journal.r-project.org/archive/2018/RJ-2018-036/index.html.
———. 2018b. SpatialEpiApp: A Shiny Web Application for the Analysis of Spatial and Spatio-Temporal Disease Data. https://github.com/Paula-Moraga/SpatialEpiApp.
———. 2019. Geospatial Health Data: Modeling and Visualization with r-INLA and Shiny. Boca Raton, Florida: Chapman & Hall/CRC Biostatistics Series.
———. 2021a. Handbook of Spatial Epidemiology.” Journal of the American Statistical Association 116 (533): 451–53. https://doi.org/10.1080/01621459.2021.1880230.
———. 2021b. Species Distribution Modeling using Spatial Point Processes: a Case Study of Sloth Occurrence in Costa Rica.” The R Journal 12 (2): 293–310. https://doi.org/10.32614/RJ-2021-017.
Moraga, Paula, and Laurie Baker. 2022. rspatialdata: a collection of data sources and tutorials on downloading and visualising spatial data using R.” F1000Research 11: 770. https://doi.org/https://doi.org/10.12688/f1000research.122764.1.
Moraga, Paula, Susanna Cramb, Kerrie Mengersen, and Marcello Pagano. 2017. A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDE.” Spatial Statistics 21: 27–41. https://doi.org/10.1016/j.spasta.2017.04.006.
Moraga, Paula, Christopher Dean, Joshua Inoue, Piotr Morawiecki, Shahzeb Raja Noureen, and Fengpei Wang. 2021. Bayesian spatial modelling of geostatistical data using INLA and SPDE methods: A case study predicting malaria risk in Mozambique.” Spatial and Spatio-Temporal Epidemiology 39: 100440. https://doi.org/10.1016/j.sste.2021.100440.
Moraga, Paula, Illaria Dorigatti, Zhian N Kamvar, Pawel Piatkowski, Salla E Toikkanen, VP Nagraj VP, Christl A Donnelly, and Thibaut Jombart. 2019. epiflows: an R package for risk assessment of travel-related spread of disease.” F1000Research 7: 1374. https://doi.org/https://doi.org/10.12688/f1000research.16032.2.
Moraga, Paula, and Kulldorff. 2016. Detection of spatial variations in temporal trends with a quadratic function.” Statistical Methods for Medical Research 25 (4): 1422–37. https://doi.org/10.1177/0962280213485312.
Moraga, Paula, and Andrew B. Lawson. 2012. Gaussian component mixtures and CAR models in Bayesian disease mapping.” Computational Statistics & Data Analysis 56 (6): 1417–33. https://doi.org/10.1016/j.csda.2011.11.011.
Moraga, Paula, and Francisco Montes. 2011. Detection of spatial disease clusters with LISA functions.” Statistics in Medicine 30: 1057–71. https://doi.org/10.1002/sim.4160.
Moraga, Paula, and Al Ozonoff. 2013. Model-based imputation of missing data from the 122 Cities Mortality Reporting System (122 CMRS).” Stochastic Environmental Research and Risk Assessment 29 (5): 1499–1507. https://doi.org/10.1007/s00477-014-0974-4.
Moran, P. A. P. 1950. Notes on Continuous Stochastic Phenomena.” Biometrika 37 (1/2): 17–23. https://doi.org/https://doi.org/10.2307/2332142.
Neuwirth, Erich. 2022. RColorBrewer: ColorBrewer Palettes. https://CRAN.R-project.org/package=RColorBrewer.
Openshaw, Stanley. 1984. The Modifiable Areal Unit Problem. Norwich, UK: Geo Books.
Padgham, Mark, Bob Rudis, Robin Lovelace, Maelle Salmon, and Joan Maspons. 2023. Osmdata: Import OpenStreetMap Data as Simple Features or Spatial Objects. https://CRAN.R-project.org/package=osmdata.
Pavani, Jessica, Leonardo S. Bastos, and Paula Moraga. 2023. Joint spatial modeling of the risks of co-circulating mosquito-borne diseases in Ceará, Brazil.” Spatial and Spatio-Temporal Epidemiology 47: 100616. https://doi.org/10.1016/j.sste.2023.100616.
Pebesma, Edzer. 2022a. Sf: Simple Features for r. https://CRAN.R-project.org/package=sf.
———. 2022b. Stars: Spatiotemporal Arrays, Raster and Vector Data Cubes. https://CRAN.R-project.org/package=stars.
Pebesma, Edzer, and Roger Bivand. 2022. Sp: Classes and Methods for Spatial Data. https://CRAN.R-project.org/package=sp.
Pebesma, Edzer, and Benedikt Graeler. 2022. Gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation. https://github.com/r-spatial/gstat/.
Pedersen, Thomas Lin. 2022. Patchwork: The Composer of Plots. https://CRAN.R-project.org/package=patchwork.
Pedersen, Thomas Lin, and David Robinson. 2022. Gganimate: A Grammar of Animated Graphics. https://CRAN.R-project.org/package=gganimate.
Pereira, Rafael H. M., and Caio Nogueira Goncalves. 2022. Geobr: Download Official Spatial Data Sets of Brazil. https://github.com/ipeaGIT/geobr.
Pfeffer, Daniel, Tim Lucas, Daniel May, Suzanne Keddie, Jen Rozier, Oliver Watson, and Harry Gibson. 2020. malariaAtlas: An r Interface to Open-Access Malaria Data, Hosted by the Malaria Atlas Project. https://github.com/malaria-atlas-project/malariaAtlas.
Piatkowski, Pawel, Paula Moraga, Thibaut Jombart, VP Nagraj, Zhian N. Kamvar, and Salla E. Toikkanen. 2018. Epiflows: Predicting Disease Spread from Flow Data. https://www.repidemicsconsortium.org/epiflows.
Piburn, Jesse. 2020. Wbstats: Programmatic Access to Data and Statistics from the World Bank API. https://github.com/nset-ornl/wbstats.
Pierce, David. 2023. Ncdf4: Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files. https://CRAN.R-project.org/package=ncdf4.
Possenriede, Daniel, Jesse Sadler, and Maelle Salmon. 2021. Opencage: Geocode with the OpenCage API. https://CRAN.R-project.org/package=opencage.
Ribeiro Amaral, André Victor, Jonatan A. González, and Paula Moraga. 2023. Spatio-temporal modeling of infectious diseases by integrating compartment and point process models.” Stochastic Environmental Research and Risk Assessment 37: 1519–33.
Ribeiro Amaral, André Victor, Elias Teixeira Krainski, Ruiman Zhong, and Paula Moraga. 2023. Model-Based Geostatistics Under Spatially Varying Preferential Sampling.” Journal of Agricultural, Biological, and Environmental Statistics.
Ribeiro Jr, Paulo Justiniano, Peter Diggle, Ole Christensen, Martin Schlather, Roger Bivand, and Brian Ripley. 2022. geoR: Analysis of Geostatistical Data. http://www.leg.ufpr.br/geoR/.
Riebler, Andrea, Sigrunn H. Sørbye, Daniel Simpson, and Håvard Rue. 2016. “An Intuitive Bayesian Spatial Model for Disease Mapping That Accounts for Scaling.” Statistical Methods in Medical Research 25 (4): 1145–65.
Robinson, W. S. 1950. Ecological Correlations and the Behavior of Individuals.” American Sociological Review 15 (3): 351–57. https://doi.org/10.2307/2087176.
Rue, Håvard, Finn Lindgren, and Elias Teixeira Krainski. 2022. INLA: Full Bayesian Analysis of Latent Gaussian Models Using Integrated Nested Laplace Approximations.
Rue, Håvard, Sara Martino, and Nicholas Chopin. 2009. “Approximate Bayesian Inference for Latent Gaussian Models Using Integrated Nested Laplace Approximations (with Discussion).” Journal of the Royal Statistical Society B 71: 319–92. https://doi.org/10.1111/j.1467-9868.2008.00700.x.
Sassi, Gilberto. 2021. geoFourierFDA: Ordinary Functional Kriging Using Fourier Smoothing and Gaussian Quadrature. https://CRAN.R-project.org/package=geoFourierFDA.
Schlather, Martin, Alexander Malinowski, Peter J. Menck, Marco Oesting, and Kirstin Strokorb. 2015. “Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields.” Journal of Statistical Software 63 (8): 1–15. https://doi.org/https://doi.org/10.18637/jss.v063.i08.
Schloerke, Barret, Di Cook, Joseph Larmarange, Francois Briatte, Moritz Marbach, Edwin Thoen, Amos Elberg, and Jason Crowley. 2021. GGally: Extension to Ggplot2. https://CRAN.R-project.org/package=GGally.
Sebastian, Gatscha. 2023. Leaflet.extras2: Extra Functionality for Leaflet Package. https://CRAN.R-project.org/package=leaflet.extras2.
Sievert, Carson, Richard Iannone, JJ Allaire, and Barbara Borges. 2022. Flexdashboard: R Markdown Format for Flexible Dashboards. https://CRAN.R-project.org/package=flexdashboard.
Sievert, Carson, Chris Parmer, Toby Hocking, Scott Chamberlain, Karthik Ram, Marianne Corvellec, and Pedro Despouy. 2022. Plotly: Create Interactive Web Graphics via Plotly.js. https://CRAN.R-project.org/package=plotly.
Silverman, Bernard. W. 1986. Density Estimation for Statistics and Data Analysis. Chapman & Hall/CRC.
Simpson, Daniel, Janine B. Illian, Finn Lindgren, Sigrunn H. Sørbye, and Håvard Rue. 2016. Going off grid: computationally efficient inference for log-Gaussian Cox processes.” Biometrika 103 (1): 49–70.
Simpson, Daniel, Håvard Rue, Andrea Riebler, Thiago G. Martins, and Sigrunn H. Sørbye. 2017. “Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors.” Statistical Science 32: 1–28.
South, Andy. 2017. Rnaturalearth: World Map Data from Natural Earth. https://github.com/ropenscilabs/rnaturalearth.
———. 2023. Rnaturalearthhires: High Resolution World Vector Map Data from Natural Earth Used in Rnaturalearth.
Spiegelhalter, David J., Nicky G. Best, Bradley P. Carlin, and Angelika van der Linde. 2002. Bayesian measures of model complexity and fit (with discussion).” Journal of the Royal Statistical Society, Series B 64: 583–616.
Tennekes, Martijn. 2022. Tmap: Thematic Maps. https://github.com/r-tmap/tmap.
Tobler, W. R. 1970. A Computer Movie Simulating Urban Growth in the Detroit Region.” Economic Geography 46: 234–40. https://doi.org/https://doi.org/10.2307/143141.
Vaidyanathan, Ramnath, Yihui Xie, JJ Allaire, Joe Cheng, Carson Sievert, and Kenton Russell. 2023. Htmlwidgets: HTML Widgets for r. https://github.com/ramnathv/htmlwidgets.
Valavi, Roozbeh, Jane Elith, Jose Lahoz-Monfort, Ian Flint, and Gurutzeta Guillera-Arroita. 2023. blockCV: Spatial and Environmental Blocking for k-Fold and LOO Cross-Validation. https://github.com/rvalavi/blockCV.
Vanderkam, Dan, JJ Allaire, Jonathan Owen, Daniel Gromer, and Benoit Thieurmel. 2018. Dygraphs: Interface to Dygraphs Interactive Time Series Charting Library. https://github.com/rstudio/dygraphs.
Wadoux, Alexandre M. J.-C., Gerard B. M. Heuvelink, Sytze de Bruin, and Dick J. Brus. 2021. Spatial cross-validation is not the right way to evaluate map accuracy.” Ecological Modelling 457: 109692. https://doi.org/https://doi.org/10.1016/j.ecolmodel.2021.109692.
Walker, Kyle. 2023. Tigris: Load Census TIGER/Line Shapefiles. https://github.com/walkerke/tigris.
Walker, Kyle, and Matt Herman. 2023. Tidycensus: Load US Census Boundary and Attribute Data as Tidyverse and Sf-Ready Data Frames. https://walker-data.com/tidycensus/.
Wang, Xiaofeng, Yu Yue Ryan, and Julian J. Faraway. 2018. Bayesian Regression Modeling with INLA. 1st ed. Boca Raton, Florida: Chapman & Hall/CRC.
Watanabe, Sumio. 2010. Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory.” Journal of Machine Learning Research 11: 3571–94.
Watson, OJ, and Jeff Eaton. 2022. Rdhs: API Client and Dataset Management for the Demographic and Health Survey (DHS) Data. https://docs.ropensci.org/rdhs/.
Whittle, Peter. 1963. Stochastic Processes in Several Dimensions.” Bulletin of the International Statistical Institute 40: 974–94.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2022. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.
Wickham, Hadley, Romain Francois, Lionel Henry, and Kirill Muller. 2022. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.
Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science. 1st ed. Sebastopol, California: O’Reilly. https://r4ds.had.co.nz/.
Xie, Yihui. 2022. Tinytex: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents. https://github.com/rstudio/tinytex.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definite Guide. 1st ed. Boca Raton, Florida: Chapman & Hall/CRC. https://bookdown.org/yihui/rmarkdown/.
Xie, Yihui, Joe Cheng, and Xianying Tan. 2022. DT: A Wrapper of the JavaScript Library DataTables. https://github.com/rstudio/DT.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2022. R Markdown Cookbook. Boca Raton, Florida: Chapman & Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook/.
Zhong, Ruiman, and Paula Moraga. 2023. Bayesian hierarchical models for the combination of spatially misaligned data: a comparison of melding and downscaler approaches using INLA and SPDE.” Journal of Agricultural, Biological, and Environmental Statistics.
Zhong, Ruiman, André Victor Ribeiro Amaral, and Paula Moraga. 2023. Spatial data fusion adjusting for preferential sampling using INLA and SPDE.”