| areaSDF | Areas of elements of SpatialDataFrame objects |
| cbindSimulations | Combine plumes of Simulations objects with coinciding... |
| changeSimulationsPath | Reset file paths in Simulations objects |
| copySimulations | Copy Simulations (including raster files) |
| extractSpatialDataFrame | Extract some values of Simulations to a SpatialDataFrame with... |
| interpolate | Interpolate many maps at once - even if they do not fit into... |
| interpolationError | Interpolate many maps at once, compare them to the original... |
| interpolationErrorFunctions | Compare original and interpolated maps point-wise |
| loadSimulations | Load values from raster or text files into Simulations... |
| measurementsResult | General cost function by plume-wise summary of values at... |
| measurementsResultFunctions | Cost functions by plume-wise summary of values at locations |
| medianVariogram | Variogram of radioactivePlumes |
| optimalSD | Optimised sampling designs |
| optimisationCurve | Plot Optimisation Curve |
| optimiseSD | (Spatial) optimisation of sampling designs |
| optimiseSD_genetic | Optimisation of sensor locations by a binary genetic... |
| optimiseSD_global | Derive one or all globally optimal sampling designs for plume... |
| optimiseSD_greedy | Greedy optimisation algorithm |
| optimiseSD_manual | Plot cost map for interactive adding and deleting of sensors |
| optimiseSD_ssa | Spatial Simulated Annealing optimisation algorithm |
| plotSD | Plot sampling designs and related cost maps |
| plotSimulations | Plot overview of 'simulations'. |
| points2polygrid | Turn points (and data) into a SpatialPolygridDataFrame |
| polygrid2grid | Coerce SpatialPolygridDataFrame into SpatialGridDataFrame and... |
| radioactivePlumes | Simulations of radioactive plumes |
| replaceDefault | Replace default values in functions and check parameter list |
| SDF2simulations | Turn a SpatialDataFrame into Simulations. |
| SDLonLat | Transform locations of simulations into longitude latitude... |
| sensors4plumes-package | Test and optimise sampling designs based on plume simulations |
| similaritySD | Determine (spatial) similarity between sampling designs |
| Simulations | Class "Simulations" |
| simulationsApply | Apply functions value-wise, location-wise, or plume-wise to... |
| SimulationsSmall | Artificial, small test data. |
| SpatialDataFrame-class | Class "SpatialDataFrame" |
| SpatialIndexDataFrame | Class "SpatialIndexDataFrame" |
| SpatialPolygridDataFrame | Class "SpatialPolygridDataFrame" |
| spatialSpread | Cost function based on sensor locations only |
| spatialSpreadFunctions | Cost functions dependent only on sensor locations |
| SPolygridDF_testDataArtificial | Small artificial test data |
| spplotLog | Plot methods for spatial data with logarithmic scale |
| subsetSDF | Subsetting objects of class SpatialDataFrame |
| subsetSDF.SpatialIndexDataFrame | Subsetting objects of class SpatialIndexDataFrame |
| subsetSDF.SpatialPolygridDataFrame | Subsetting objects of class SpatialPolygridDataFrame |
| subsetSimulations | Subsetting Simulations |
| summaryLocations | Summarise values of Simulations by locations |
| summaryPlumes | Summarise values of Simulations by plumes |
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