Software for Spatial Statistics

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.

[1]  Tsutomu Mizota,et al.  Proportional Symbol Mapping in R , 2006 .

[2]  Fabio Sigrist,et al.  spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process , 2015 .

[3]  Jay M. Ver Hoef,et al.  STARS: An ArcGIS Toolset Used to Calculate the Spatial Information Needed to Fit Spatial Statistical Models to Stream Network Data , 2014 .

[4]  Martin Schlather,et al.  Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields , 2015 .

[5]  Peter J. Diggle,et al.  Bayesian Inference and Data Augmentation Schemes for Spatial, Spatiotemporal and Multivariate Log-Gaussian Cox Processes in R , 2015 .

[6]  Karl Ropkins,et al.  RgoogleMaps and loa: Unleashing R Graphics Power on Map Tiles , 2015 .

[7]  Adrian Bowman,et al.  Interactive Teaching Tools for Spatial Sampling , 2010 .

[8]  Clément Calenge,et al.  Exploring Habitat Selection by Wildlife with adehabitat , 2007 .

[9]  Patrick Brown,et al.  Model-Based Geostatistics the Easy Way , 2015 .

[10]  Christoph Stasch,et al.  Meaningful spatial prediction and aggregation , 2014, Environ. Model. Softw..

[11]  Bradley P Carlin,et al.  spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models. , 2007, Journal of statistical software.

[12]  Peter J. Diggle,et al.  stpp: An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns , 2013 .

[13]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[14]  Sarah C. Goslee,et al.  The ecodist Package for Dissimilarity-based Analysis of Ecological Data , 2007 .

[15]  H. Rue,et al.  Spatial Data Analysis with R-INLA with Some Extensions , 2015 .

[16]  Moreno Bevilacqua,et al.  Analysis of Random Fields Using CompRandFld , 2015 .

[17]  Quinn Payton,et al.  micromap: A Package for Linked Micromaps , 2015 .

[18]  Duncan Lee,et al.  CARBayes: An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors , 2013 .

[19]  Achim Zeileis,et al.  Structured Additive Regression Models: An R Interface to BayesX , 2015 .

[20]  Christine Thomas-Agnan,et al.  GeoXp: an R package for exploratory spatial data analysis , 2012 .

[21]  Nadine Dessay,et al.  SPODT: An R Package to Perform Spatial Partitioning , 2015 .

[22]  Prabhat,et al.  Parallelizing Gaussian Process Calculations in R , 2013, ArXiv.

[23]  François Goreaud,et al.  ads Package for R: A Fast Unbiased Implementation of the K-function Family for Studying Spatial Point Patterns in Irregular-Shaped Sampling Windows , 2015 .

[24]  Andrew O. Finley,et al.  spBayes for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models , 2013, 1310.8192.

[25]  David Bryant,et al.  On Circulant Embedding for Gaussian Random Fields in R , 2013 .

[26]  Finn Lindgren,et al.  Bayesian Spatial Modelling with R-INLA , 2015 .

[27]  Didier Josselin,et al.  Interactive Geographical Information System using Lisp-Stat: Prototypes and Applications , 2005 .

[28]  Liang Jing,et al.  geoCount: An R Package for the Analysis of Geostatistical Count Data , 2015 .

[29]  Jorge Mateu,et al.  Hybrids of Gibbs Point Process Models and Their Implementation , 2013 .

[30]  Mary Kathryn Cowles,et al.  Unified Geostatistical Modeling for Data Fusion and Spatial Heteroskedasticity with R Package ramps , 2008 .

[31]  Khandoker Shuvo Bakar,et al.  spTimer: Spatio-Temporal Bayesian Modeling Using R , 2015 .

[32]  Martin Charlton,et al.  GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models , 2013, 1306.0413.

[33]  Zack W. Almquist.  US Census Spatial and Demographic Data in R: The UScensus2000 Suite of Packages , 2010 .

[34]  Adrian Baddeley,et al.  spatstat: An R Package for Analyzing Spatial Point Patterns , 2005 .

[35]  Florian Gerber,et al.  Pitfalls in the Implementation of Bayesian Hierarchical Modeling of Areal Count Data: An Illustration Using BYM and Leroux Models , 2015 .

[36]  Martin L. Hazelton,et al.  sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R , 2011 .

[37]  Jay M. Ver Hoef,et al.  SSN: An R package for spatial statistical modeling on stream networks , 2014 .

[38]  David Harte,et al.  PtProcess: An R Package for Modelling Marked Point Processes Indexed by Time , 2010 .

[39]  Gianfranco Piras,et al.  sphet: Spatial Models with Heteroskedastic Innovations in R , 2010 .

[40]  Peter J. Diggle,et al.  lgcp: An R Package for Inference with Spatial and Spatio-Temporal Log-Gaussian Cox Processes , 2013 .

[41]  Gianfranco Piras,et al.  splm: Spatial Panel Data Models in R , 2012 .

[42]  T. Kneib,et al.  BayesX: Analyzing Bayesian Structural Additive Regression Models , 2005 .

[43]  Edzer Pebesma,et al.  plotKML: Scientific Visualization of Spatio-Temporal Data , 2015 .

[44]  Ronald P. Barry.  A Diagnostic to Assess the Fit of a Variogram Model to Spatial Data , 1996 .

[45]  E. Pebesma.  spacetime: Spatio-Temporal Data in R , 2012 .

[46]  Daniel B. Carr,et al.  micromapST: Exploring and Communicating Geospatial Patterns in US State Data , 2015 .

[47]  Didier G. Leibovici,et al.  Spatio-Temporal Multiway Data Decomposition Using Principal Tensor Analysis on k-Modes: The R Package PTAk , 2010 .

[48]  Sarah C. Goslee,et al.  Analyzing Remote Sensing Data in R: The landsat Package , 2011 .

[49]  Roger Bivand,et al.  Comparing Implementations of Estimation Methods for Spatial Econometrics , 2015 .

[50]  Oscar Perpiñán Lamigueiro.  solaR: Solar Radiation and Photovoltaic Systems with R , 2012 .