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
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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 | Nov 23 2024 |
| R-4.5-win | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
| R-4.4-win | OK | Nov 23 2024 |
| R-4.4-mac | OK | Nov 23 2024 |
| R-4.3-win | OK | Nov 23 2024 |
| R-4.3-mac | OK | Nov 23 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 |
