Patrick Brown <patrick.brown@utoronto.ca>, Peter Diggle, Paulo Ribeiro

Matrix, raster, sp, OpenStreetMap, R (>= 3.0.0)
RandomFields, geoR, geonames, pracma, spatstat
This package provides to geostatistical modelling facilities using raster and SpatialPoints objects.

RandomFields, geoR, geonames, pracma, spatstat, rgdal
Patrick Brown <patrick.brown@utoronto.ca>, Barry Rowlingson

Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]

methods, Matrix, raster, sp, R (>= 3.0.0)

pracma, geoR, RandomFields, rgdal, parallel, numDeriv

geoR, RandomFields, rgdal, parallel, mapmisc, ellipse

This package provides to geostatistical modelling facilities using raster and SpatialPoints objects.  Non-Gaussian models are fit using INLA, obtainable from http://www.r-inla.org.

Geostatistical Modelling with Likelihood and Bayes
This package provides to geostatistical modelling facilities using Raster and SpatialPoints objects.  Non-Gaussian models are fit using INLA.

Geostatistical modelling facilities using Raster and SpatialPoints objects are provided.  Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation..

geoR, RandomFields, rgdal, parallel, mapmisc, ellipse, pracma
Geostatistical modelling facilities using Raster and SpatialPoints objects are provided.  Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation.

geoR, RandomFields, rgdal, parallel, mapmisc, ellipse,
pracma, knitr

RandomFields, rgdal, parallel, mapmisc, ellipse, pracma,
knitr
INLA, diseasemapping, geoR, mvtnorm, Ryacas
Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans
[ctb]
Geostatistical modelling facilities using Raster and SpatialPoints
objects are provided. Non-Gaussian models are fit using INLA, and Gaussian
geostatistical models use Maximum Likelihood Estimation.

INLA, diseasemapping, geoR, rgeos, mvtnorm, Ryacas

INLA, diseasemapping, geoR, rgeos, mvtnorm
Geostatistical modelling facilities using Raster and SpatialPoints
objects are provided. Non-Gaussian models are fit using INLA, and Gaussian
geostatistical models use Maximum Likelihood Estimation.  For details see Brown (2015) <doi:10.18637/jss.v063.i12>.