[ 源代码： r-cran-gstat ]
软件包：r-cran-gstat（2.1-1-2）
GNU R spatial and spatio-temporal geostatistical modelling
This GNU R package provides spatio-temporal geostatistical modelling, prediction and Simulation Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
其他与 r-cran-gstat 有关的软件包
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虚包由这些包填实： libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libc6 (>= 2.29)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虚包由这些包填实： libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: r-api-4.0
- 本虚包由这些包填实： r-base-core
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- dep: r-cran-fnn
- GNU R fast nearest neighbor search algorithms and applications
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- dep: r-cran-lattice
- GNU R package for 'Trellis' graphics
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- dep: r-cran-sf (>= 0.7-2)
- Simple Features for R
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- dep: r-cran-sftime
- GNU R support for simple feature objects that have a time column
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- dep: r-cran-sp (>= 0.9-72)
- GNU R classes and methods for spatial data
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- dep: r-cran-spacetime (>= 1.2-8)
- GNU R classes and methods for spatio-temporal data
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- dep: r-cran-stars
- scalable, spatiotemporal tidy arrays for GNU R
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- dep: r-cran-zoo
- GNU R package for totally ordered indexed observations
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- rec: r-cran-fields
- GNU R tools for spatial data
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- rec: r-cran-future
- R package: A Future API for R
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- rec: r-cran-future.apply
- apply function to elements in parallel using futures
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- rec: r-cran-mapdata
- GNU R support for producing geographic maps (supplemental data)
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- rec: r-cran-maps
- GNU R support for producing geographic maps
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- rec: r-cran-raster
- GNU R geographic data analysis and modeling
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- rec: r-cran-xts
- GNU R package for time series analysis -- xts