spam: an R package, a collection of functions based in R/Fortran for sparse matrix algebra, tailored for MCMC calculations within GMRF or GRF with compactly supported covariance functions. Emphasis is given on a comprehensive, simple, tutorial structure of the code. 

Webpage (based on pkgdown); a stable version of the package is posted on CRAN, a development version is posted here.

The R package provides ML method to estimate and predict Spatially Varying Coefficient (SVC) Models. It supports covariance tapering by Furrer et al. (2006) to support ML estimation on large data.

A stable version of the package is posted on CRAN, a development version is posted here.

mrbsizeR: An R package for the multiresolution analysis of spatial fields and images to capture scale-dependent features. mrbsizeR is based on scale space smoothing and uses differences of smooths at neighbouring scales for finding features on different scales. To infer which of the captured features are credible, Bayesian analysis is used.  The method has first been proposed by Holmstrom, Pasanen, Furrer, Sain (2011) <doi:10.1016/j.csda.2011.04.011>.

A stable version of the package is posted on CRAN

Multivariate modelling of geostatistical (point), lattice (areal) and point pattern data in a unifying spatial fusion framework. Model inference is done using either 'Stan'  or 'INLA'..

A stable version of the package is posted on CRAN. 

variosig: Applying Monte Carlo permutation to generate pointwise variogram envelope and checking for spatial dependence at different scales using permutation test. Empirical Brown's method and Fisher's method are used to compute overall p-value for hypothesis test.

A stable version of the package is posted on CRAN.

gapfill: Fill Missing Values in Satellite Data A R package Tools to fill missing values in satellite data and to develop new gap-fill algorithms. The methods are tailored to data (images) observed at equally-spaced points in time. The package is illustrated with MODIS NDVI data.abn:

A stable version of the package is posted on CRAN.

fields: Tools for Spatial Data for curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. 

A stable version of the package is posted on CRAN.

RandomFieldsUtils: Various utilities are provided that might be used in spatial statistics and elsewhere. It delivers a method for solving linear equations that checks the sparsity of the matrix before any algorithm is used. Furthermore, it includes the Struve functions.

A stable package is posted on CRAN.