Package: intamap 1.5-7
intamap: Procedures for Automated Interpolation
Geostatistical interpolation has traditionally been done by manually fitting a variogram and then interpolating. Here, we introduce classes and methods that can do this interpolation automatically. Pebesma et al (2010) gives an overview of the methods behind and possible usage <doi:10.1016/j.cageo.2010.03.019>.
Authors:
intamap_1.5-7.tar.gz
intamap_1.5-7.zip(r-4.5)intamap_1.5-7.zip(r-4.4)intamap_1.5-7.zip(r-4.3)
intamap_1.5-7.tgz(r-4.4-any)intamap_1.5-7.tgz(r-4.3-any)
intamap_1.5-7.tar.gz(r-4.5-noble)intamap_1.5-7.tar.gz(r-4.4-noble)
intamap_1.5-7.tgz(r-4.4-emscripten)intamap_1.5-7.tgz(r-4.3-emscripten)
intamap.pdf |intamap.html✨
intamap/json (API)
# Install 'intamap' in R: |
install.packages('intamap', repos = c('https://jskoien.r-universe.dev', 'https://cloud.r-project.org')) |
- intamapExampleObject - Simulated Intamap Object
- observations - Example data for the intamap package
- timeModels - Models for estimating prediction time in intamap package
- timeModels - Models for estimating prediction time in intamap package
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:4669f0079e. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-win | OK | Oct 24 2024 |
R-4.5-linux | OK | Oct 24 2024 |
R-4.4-win | OK | Oct 24 2024 |
R-4.4-mac | OK | Oct 24 2024 |
R-4.3-win | OK | Oct 24 2024 |
R-4.3-mac | OK | Oct 24 2024 |
Exports:bayesCopulablockPredictcheckSetupcoarsenGridconformProjectionscopulaEstimationcreateIntamapObjectestimateAnisotropyestimateParametersgenerateTimeModelsgetIntamapParamsgetInterpolationMethodNamesinterpolateinterpolateBlockmethodParametersplotIntamappostProcesspredictTimepreProcessrotateAnisotropicDataspatialPredictsummaryIntamapunbiasedKrigeyamamotoKrige
Dependencies:abindautomapBHclassclassIntclicodetoolscolorspaceDBIdoParallele1071evdfansifarverFNNforeachggplot2gluegstatgtableintervalsisobanditeratorsKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixMBAmgcvmunsellmvtnormnlmepillarpkgconfigplyrproxyR6RColorBrewerRcppreshaperlangs2scalessfsftimespspacetimestarstibbleunitsutf8vctrsviridisLitewithrwkxtszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
A package providing methods for automatic interpolation: pre-processing, parameter estimation, spatial prediction and post processing | intamap-package |
Performs spatial interpolation using copulas | bayesCopula |
Spatial block prediction | blockPredict spatialPredict.block |
check setup | checkSetup |
Coarsening of a spatial grid | coarsenGrid |
Getting conformed projections | conformProjections |
ML-estimation of the spatial copula model parameters | copulaEstimation |
Create an object for interpolation within the intamap package | createIntamapObject |
estimateAnisotropy | estimateAnisotropy |
Automatic estimation of correlation structure parameters | estimateParameters estimateParameters.automap estimateParameters.copula estimateParameters.default estimateParameters.idw estimateParameters.linearVariogram estimateParameters.transGaussian estimateParameters.yamamoto |
estimateTimeModel | estimateTimeModel |
Generate time models | generateTimeModels |
Setting parameters for the intamap package | getIntamapParams |
get interpolation method names | getInterpolationMethodNames |
Example data for the intamap package | observations |
Simulated Intamap Object | intamapExampleObject |
spatial interpolation | interpolate interpolateBlock |
generate string for generation of method parameters | methodParameters methodParameters.copula methodParameters.default methodParameters.idw |
plot intamap objects | plot.automap plot.copula plot.default plot.idw plot.linearVariogram plot.transGaussian plot.yamamoto plotIntamap |
pre-process data | postProcess postProcess.default postProcess.idw |
Time prediction for intamap package methods | predictTime |
pre-processing of data | preProcess preProcess.default preProcess.idw |
rotateAnisotropicData | rotateAnisotropicData |
Spatial prediction | spatialPredict spatialPredict.automap spatialPredict.copula spatialPredict.default spatialPredict.idw spatialPredict.linearVariogram spatialPredict.transGaussian spatialPredict.yamamoto |
summary intamap objects | summary.automap summary.copula summary.idw summary.linearVariogram summary.transGaussian summary.yamamoto summaryIntamap |
models for estimating prediction time in intamap package | timeModels |
Unbiased kriging | unbiasedKrige |
kriging and simulation with alternative kriging variance | yamamotoKrige |