Man pages for MariekeDirk/GeoInterpolation
Temperature Interpolation methods

calc_save_climatologyCalculate climatology
calculate_time_average_rasterCalculate time averages from raster
coords_awsCoordinates of the AWS station in RD
createCvObjFromSpatialObjcreate a object for cross validation
crossvalidateThis function performs crossvalidation in the style of...
cubist_model_caretLinear model Caret
distsea.gridDistance to the sea grid
doNearestNeighborPerforms nearest neighbor interpolation
doTpsProvides a krige (automap, gstat) like interface to Tps...
download_time_seqWunderground time series from URL
generate_raster_based_on_netcdfGenerate raster from NetCDF
get_statistical_summaryStatistics from interpolation
interpolation_idwIDW interpolation
interpolation_krigingdriftKriging with External Drift interpolation
interpolation_ordinarykrigingOrdinary Kriging interpolation
interpolation_tpsIDW interpolation
linear_model_caretLinear model Caret
load_auxiliarydataload auxiliary data
load.data.pathsLoad data paths
load_statistical_summaryload_statistical_summary
pca_variancepca variance
plot_climatologyplot climatology
points_over_rasterPoints over raster
random_forest_model_caretRandom Forest model Caret
SICCS_preprocessSICCS preprocess
solar_radiationRadiation data from stations
svm_model_caretLinear model Caret
svmRadial_model_caretSupport Vector Machine model Caret
temperature_climateClimatological record mean temperature data from AWS stations
temperature_min_maxDaily Minimum and Maximum temperatures dataset
temperature_stationdataTemperature data from stations
wunderground_metaMetadata from Wunderground stations
MariekeDirk/GeoInterpolation documentation built on Oct. 9, 2018, 1:17 a.m.