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Software for Spatial Statistics

Author

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  • Pebesma, Edzer
  • Bivand, Roger
  • Ribeiro, Paulo Justiniano

Abstract

We give an overview of the papers published in this special issue on spatial statistics, of the Journal of Statistical Software. 21 papers address issues covering visualization (micromaps, links to Google Maps or Google Earth), point pattern analysis, geostatistics, analysis of areal aggregated or lattice data, spatio-temporal statistics, Bayesian spatial statistics, and Laplace approximations. We also point to earlier publications in this journal on the same topic.

Suggested Citation

  • Pebesma, Edzer & Bivand, Roger & Ribeiro, Paulo Justiniano, 2015. "Software for Spatial Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i01).
  • Handle: RePEc:jss:jstsof:v:063:i01
    DOI: http://hdl.handle.net/10.18637/jss.v063.i01
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    References listed on IDEAS

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    1. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    2. Taylor, Benjamin M. & Davies, Tilman M. & Rowlingson, Barry S. & Diggle, Peter J., 2015. "Bayesian Inference and Data Augmentation Schemes for Spatial, Spatiotemporal and Multivariate Log-Gaussian Cox Processes in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i07).
    3. Padoan, Simone A. & Bevilacqua, Moreno, 2015. "Analysis of Random Fields Using CompRandFld," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i09).
    4. Pélissier, Raphaël & Goreaud, François, 2015. "ads Package for R: A Fast Unbiased Implementation of the K-function Family for Studying Spatial Point Patterns in Irregular-Shaped Sampling Windows," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i06).
    5. Ver Hoef, Jay & Peterson, Erin & Clifford, David & Shah, Rohan, 2014. "SSN: An R Package for Spatial Statistical Modeling on Stream Networks," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i03).
    6. Loecher, Markus & Ropkins, Karl, 2015. "RgoogleMaps and loa: Unleashing R Graphics Power on Map Tiles," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i04).
    7. Sigrist, Fabio & Künsch, Hans R. & Stahel, Werner A., 2015. "spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i14).
    8. Lee, Duncan, 2013. "CARBayes: An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i13).
    9. Goslee, Sarah C. & Urban, Dean L., 2007. "The ecodist Package for Dissimilarity-based Analysis of Ecological Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i07).
    10. Gerber, Florian & Furrer, Reinhard, 2015. "Pitfalls in the Implementation of Bayesian Hierarchical Modeling of Areal Count Data: An Illustration Using BYM and Leroux Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(c01).
    11. Peterson, Erin & Ver Hoef, Jay, 2014. "STARS: An ArcGIS Toolset Used to Calculate the Spatial Information Needed to Fit Spatial Statistical Models to Stream Network Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i02).
    12. Bivand, Roger & Gómez-Rubio, Virgilio & Rue, Håvard, 2015. "Spatial Data Analysis with R-INLA with Some Extensions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i20).
    13. Hengl, Tomislav & Roudier, Pierre & Beaudette, Dylan & Pebesma, Edzer, 2015. "plotKML: Scientific Visualization of Spatio-Temporal Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i05).
    14. Gabriel, Edith & Rowlingson, Barry S. & Diggle, Peter J., 2013. "stpp: An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i02).
    15. Barry, Ronald, 1996. "A Diagnostic to Assess the Fit of a Variogram Model to Spatial Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 1(i01).
    16. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    17. Brown, Patrick E., 2015. "Model-Based Geostatistics the Easy Way," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i12).
    18. Brezger, Andreas & Kneib, Thomas & Lang, Stefan, 2005. "BayesX: Analyzing Bayesian Structural Additive Regression Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i11).
    19. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2012. "GeoXp: An R Package for Exploratory Spatial Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i02).
    20. Smith, Brian J. & Yan, Jun & Cowles, Mary Kathryn, 2008. "Unified Geostatistical Modeling for Data Fusion and Spatial Heteroskedasticity with R Package ramps," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i10).
    21. Finley, Andrew O. & Banerjee, Sudipto & Carlin, Bradley P., 2007. "spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 19(i04).
    22. Harte, David, 2010. "PtProcess: An R Package for Modelling Marked Point Processes Indexed by Time," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i08).
    23. Jing, Liang & De Oliveira, Victor, 2015. "geoCount: An R Package for the Analysis of Geostatistical Count Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i11).
    24. Davies, Tilman M. & Hazelton, Martin L. & Marshall, Jonathan. C, 2011. "sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 39(i01).
    25. Taylor, Benjamin M. & Davies, Tilman M. & Rowlingson, Barry S. & Diggle, Peter J., 2013. "lgcp: An R Package for Inference with Spatial and Spatio-Temporal Log-Gaussian Cox Processes," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i04).
    26. Almquist, Zack W., 2010. "US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 37(i06).
    27. Lindgren, Finn & Rue, Håvard, 2015. "Bayesian Spatial Modelling with R-INLA," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i19).
    28. Goslee, Sarah C., 2011. "Analyzing Remote Sensing Data in R: The landsat Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i04).
    29. Bowman, Adrian & Gibson, Iain & Scott, E. Marian & Crawford, Ewan, 2010. "Interactive Teaching Tools for Spatial Sampling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i13).
    30. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    31. Payton, Quinn C. & McManus, Michael G. & Weber, Marc H. & Olsen, Anthony R. & Kincaid, Thomas M., 2015. "micromap: A Package for Linked Micromaps," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i02).
    32. Piras, Gianfranco, 2010. "sphet: Spatial Models with Heteroskedastic Innovations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i01).
    33. Bakar, Khandoker Shuvo & Sahu, Sujit K., 2015. "spTimer: Spatio-Temporal Bayesian Modeling Using R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i15).
    34. Leibovici, Didier G., 2010. "Spatio-Temporal Multiway Data Decomposition Using Principal Tensor Analysis on k-Modes: The R Package PTAk," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i10).
    35. Davies, Tilman M. & Bryant, David, 2013. "On Circulant Embedding for Gaussian Random Fields in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i09).
    36. Baddeley, Adrian & Turner, Rolf, 2005. "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i06).
    37. Tanimura, Susumu & Kuroiwa, Chusi & Mizota, Tsutomu, 2006. "Proportional Symbol Mapping in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 15(i05).
    38. Schlather, Martin & Malinowski, Alexander & Menck, Peter J. & Oesting, Marco & Strokorb, Kirstin, 2015. "Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i08).
    39. Pebesma, Edzer, 2012. "spacetime: Spatio-Temporal Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 51(i07).
    40. Pickle, Linda Williams & Pearson, James B. & Carr, Daniel B., 2015. "micromapST: Exploring and Communicating Geospatial Patterns in US State Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i03).
    41. Gaudart, Jean & Graffeo, Nathalie & Coulibaly, Drissa & Barbet, Guillaume & Rebaudet, Stanilas & Dessay, Nadine & Doumbo, Ogobara K. & Giorgi, Roch, 2015. "SPODT: An R Package to Perform Spatial Partitioning," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i16).
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    Cited by:

    1. Roger S. Bivand, 2021. "Progress in the R ecosystem for representing and handling spatial data," Journal of Geographical Systems, Springer, vol. 23(4), pages 515-546, October.

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