r-geostatsp

Description

Geostatistical Modelling with Likelihood and Bayes

Description

Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' 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>. The 'RandomFields' package is available at <https://www.wim.uni-mannheim.de/schlather/publications/software>.

Metadata

Version

2.0.6

License

Unknown

Platforms (75)

Darwin

FreeBSD

Genode

GHCJS

Linux

MMIXware

NetBSD

none

OpenBSD

Redox

Solaris

WASI

Windows

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aarch64-darwin
aarch64-genode
aarch64-linux
aarch64-netbsd
aarch64-none
aarch64_be-none
arm-none
armv5tel-linux
armv6l-linux
armv6l-netbsd
armv6l-none
armv7a-darwin
armv7a-linux
armv7a-netbsd
armv7l-linux
armv7l-netbsd
avr-none
i686-cygwin
i686-darwin
i686-freebsd
i686-genode
i686-linux
i686-netbsd
i686-none
i686-openbsd
i686-windows
javascript-ghcjs
loongarch64-linux
m68k-linux
m68k-netbsd
m68k-none
microblaze-linux
microblaze-none
microblazeel-linux
microblazeel-none
mips-linux
mips-none
mips64-linux
mips64-none
mips64el-linux
mipsel-linux
mipsel-netbsd
mmix-mmixware
msp430-none
or1k-none
powerpc-netbsd
powerpc-none
powerpc64-linux
powerpc64le-linux
powerpcle-none
riscv32-linux
riscv32-netbsd
riscv32-none
riscv64-linux
riscv64-netbsd
riscv64-none
rx-none
s390-linux
s390-none
s390x-linux
s390x-none
vc4-none
wasm32-wasi
wasm64-wasi
x86_64-cygwin
x86_64-darwin
x86_64-freebsd
x86_64-genode
x86_64-linux
x86_64-netbsd
x86_64-none
x86_64-openbsd
x86_64-redox
x86_64-solaris
x86_64-windows

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Platforms75 (75)

Platforms (75)