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A B C D E F I K L M N O P R S W
| sensors4plumes-package | Test and optimise sampling designs based on plume simulations |
| absError | Compare original and interpolated maps point-wise |
| absErrorMap | Compare original and interpolated maps point-wise |
| areaSDF | Areas of elements of SpatialDataFrame objects |
| areaSDF-method | Areas of elements of SpatialDataFrame objects |
| areaSDF.SpatialIndexDataFrame | Areas of elements of SpatialDataFrame objects |
| areaSDF.SpatialLinesDataFrame | Areas of elements of SpatialDataFrame objects |
| areaSDF.SpatialPixelsDataFrame | Areas of elements of SpatialDataFrame objects |
| areaSDF.SpatialPointsDataFrame | Areas of elements of SpatialDataFrame objects |
| areaSDF.SpatialPolygonsDataFrame | Areas of elements of SpatialDataFrame objects |
| areaSDF.SpatialPolygridDataFrame | Areas of elements of SpatialDataFrame objects |
| bbox-method | Class "SpatialDataFrame" |
| bbox-method | Class "SpatialIndexDataFrame" |
| bbox-method | Class "SpatialPolygridDataFrame" |
| cbind.SpatialIndexDataFrame | Class "SpatialIndexDataFrame" |
| cbind.SpatialPolygridDataFrame | Class "SpatialPolygridDataFrame" |
| cbindSimulations | Combine plumes of Simulations objects with coinciding parameters |
| changeSimulationsPath | Reset file paths in Simulations objects |
| coerce-method | Class "Simulations" |
| coerce-method | Class "SpatialIndexDataFrame" |
| coerce-method | Class "SpatialPolygridDataFrame" |
| coordinates-method | Class "SpatialDataFrame" |
| coordinates-method | Class "SpatialIndexDataFrame" |
| coordinates-method | Class "SpatialPolygridDataFrame" |
| copySimulations | Copy Simulations (including raster files) |
| delineationError | Compare original and interpolated maps point-wise |
| delineationErrorMap | Compare original and interpolated maps point-wise |
| earlyDetection | Cost functions by plume-wise summary of values at locations |
| extractSpatialDataFrame | Extract some values of Simulations to a SpatialDataFrame with the same spatial properties. |
| fitMedianVariogram | Interpolate many maps at once - even if they do not fit into memory |
| idw0z | Interpolate many maps at once - even if they do not fit into memory |
| interpolate | Interpolate many maps at once - even if they do not fit into memory |
| interpolationError | Interpolate many maps at once, compare them to the original and determine a global error |
| interpolationErrorFunctions | Compare original and interpolated maps point-wise |
| is.SpatialDataFrame | Class "SpatialDataFrame" |
| krigingVariance | Cost functions dependent only on sensor locations |
| length-method | Class "SpatialDataFrame" |
| length-method | Class "SpatialIndexDataFrame" |
| length-method | Class "SpatialPolygridDataFrame" |
| loadSimulations | Load values from raster or text files into Simulations objects |
| measurementsResult | General cost function by plume-wise summary of values at locations |
| measurementsResultFunctions | Cost functions by plume-wise summary of values at locations |
| medianVariogram | Variogram of radioactivePlumes |
| minimalDistance | Cost functions dependent only on sensor locations |
| multipleDetection | Cost functions by plume-wise summary of values at locations |
| nKinds | Class "Simulations" |
| nKinds-method | Class "Simulations" |
| nKinds.Simulations | Class "Simulations" |
| nLocations | Class "Simulations" |
| nLocations-method | Class "Simulations" |
| nLocations.Simulations | Class "Simulations" |
| nPlumes | Class "Simulations" |
| nPlumes-method | Class "Simulations" |
| nPlumes.Simulations | Class "Simulations" |
| numberPenalty | Optimisation of sensor locations by a binary genetic algorithm |
| optimisationCurve | Plot Optimisation Curve |
| optimiseSD | (Spatial) optimisation of sampling designs |
| optimiseSD_genetic | Optimisation of sensor locations by a binary genetic algorithm |
| optimiseSD_global | Derive one or all globally optimal sampling designs for plume detection |
| optimiseSD_greedy | Greedy optimisation algorithm |
| optimiseSD_manual | Plot cost map for interactive adding and deleting of sensors |
| optimiseSD_ssa | Spatial Simulated Annealing optimisation algorithm |
| plot | Plot overview of 'simulations'. |
| plot.Simulations | Plot overview of 'simulations'. |
| plotSD | Plot sampling designs and related cost maps |
| points2polygrid | Turn points (and data) into a SpatialPolygridDataFrame |
| polygrid2grid | Coerce SpatialPolygridDataFrame into SpatialGridDataFrame and geoTiff file |
| proj4string-method | Class "SpatialDataFrame" |
| proj4string-method | Class "SpatialIndexDataFrame" |
| proj4string-method | Class "SpatialPolygridDataFrame" |
| radioactivePlumes | Simulations of radioactive plumes |
| rbind.SpatialIndexDataFrame | Class "SpatialIndexDataFrame" |
| replaceDefault | Replace default values in functions and check parameter list |
| SDF2simulations | Turn a SpatialDataFrame into Simulations. |
| SDgenetic | Optimised sampling designs |
| SDglobal | Optimised sampling designs |
| SDgreedy | Optimised sampling designs |
| SDLonLat | Transform locations of simulations into longitude latitude coordinates |
| SDmanual | Optimised sampling designs |
| SDssa | Optimised sampling designs |
| sensors4plumes | Test and optimise sampling designs based on plume simulations |
| similaritySD | Determine (spatial) similarity between sampling designs |
| Simulations | Class "Simulations" |
| Simulations-class | Class "Simulations" |
| simulationsApply | Apply functions value-wise, location-wise, or plume-wise to Simulations |
| SimulationsSmall | Artificial, small test data. |
| SIndexDF | Small artificial test data |
| singleDetection | Cost functions by plume-wise summary of values at locations |
| SLinesDF | Small artificial test data |
| SpatialDataFrame | Class "SpatialDataFrame" |
| SpatialDataFrame-class | Class "SpatialDataFrame" |
| SpatialIndexDataFrame | Class "SpatialIndexDataFrame" |
| SpatialIndexDataFrame-class | Class "SpatialIndexDataFrame" |
| SpatialIndexDataFrame-method | Class "SpatialIndexDataFrame" |
| SpatialPolygridDataFrame | Class "SpatialPolygridDataFrame" |
| SpatialPolygridDataFrame-class | Class "SpatialPolygridDataFrame" |
| SpatialPolygridDataFrame-method | Class "SpatialPolygridDataFrame" |
| spatialSpread | Cost function based on sensor locations only |
| SPixelsDF | Small artificial test data |
| SPointsDF | Small artificial test data |
| SPolygonsDF | Small artificial test data |
| SPolygridDF | Small artificial test data |
| spplot-method | Class "SpatialDataFrame" |
| spplot-method | Class "SpatialIndexDataFrame" |
| spplot-method | Class "SpatialPolygridDataFrame" |
| spplotLog | Plot methods for spatial data with logarithmic scale |
| subset | Subsetting Simulations |
| subset.Simulations | Subsetting Simulations |
| subsetSDF | Subsetting objects of class SpatialDataFrame |
| subsetSDF-method | Subsetting objects of class SpatialDataFrame |
| subsetSDF-method | Subsetting objects of class SpatialIndexDataFrame |
| subsetSDF-method | Subsetting objects of class SpatialPolygridDataFrame |
| subsetSDF.SpatialIndexDataFrame | Subsetting objects of class SpatialIndexDataFrame |
| subsetSDF.SpatialLinesDataFrame | Subsetting objects of class SpatialDataFrame |
| subsetSDF.SpatialPixelsDataFrame | Subsetting objects of class SpatialDataFrame |
| subsetSDF.SpatialPointsDataFrame | Subsetting objects of class SpatialDataFrame |
| subsetSDF.SpatialPolygonsDataFrame | Subsetting objects of class SpatialDataFrame |
| subsetSDF.SpatialPolygridDataFrame | Subsetting objects of class SpatialPolygridDataFrame |
| summaryLocations | Summarise values of Simulations by locations |
| summaryPlumes | Summarise values of Simulations by plumes |
| weightedMean | Summarise values of Simulations by plumes |