| lulcc-package | lulcc: land use change modelling in R |
| AgreementBudget | Create an AgreementBudget object |
| AgreementBudget-class | Class AgreementBudget |
| AgreementBudget-method | Create an AgreementBudget object |
| allocate | Allocate land use change spatially |
| allocate-method | Allocate land use change spatially |
| allow | Implement decision rules for land use change |
| allowNeighb | Implement neighbourhood decision rules |
| approxExtrapDemand | Extrapolate land use area in time |
| as.data.frame-method | Coerce objects to data.frame |
| as.data.frame.ExpVarRasterList | Coerce objects to data.frame |
| as.data.frame.ObsLulcRasterStack | Coerce objects to data.frame |
| c.PredictiveModelList | Merge PredictiveModelList objects |
| CategoryLabel-class | Virtual class CategoryLabel |
| CluesModel | Create a CluesModel object |
| CluesModel-class | Class CluesModel |
| CluesModel-method | Create a CluesModel object |
| compareAUC | Calculate the area under the ROC curve (AUC) |
| compareAUC-method | Calculate the area under the ROC curve (AUC) |
| crossTabulate | Cross tabulate land use transitions |
| crossTabulate-method | Cross tabulate land use transitions |
| ExpVarRasterList | Create an ExpVarRasterList object |
| ExpVarRasterList-class | Class ExpVarRasterList |
| ExpVarRasterList-method | Create an ExpVarRasterList object |
| Extract by index | Extract by index |
| FigureOfMerit | Create a FigureOfMerit object |
| FigureOfMerit-class | Class FigureOfMerit |
| FigureOfMerit-method | Create a FigureOfMerit object |
| getPredictiveModelInputData | Extract data to fit predictive models |
| glmModels | Fit predictive models |
| Model fitting | Fit predictive models |
| Model-class | Virtual class Model |
| NeighbRasterStack | Create a NeighbRasterStack object |
| NeighbRasterStack-class | Class NeighbRasterStack |
| NeighbRasterStack-method | Create a NeighbRasterStack object |
| ObsLulcRasterStack | Create an ObsLulcRasterStack object |
| ObsLulcRasterStack-class | Class ObsLulcRasterStack |
| ObsLulcRasterStack-method | Create an ObsLulcRasterStack object |
| OrderedModel | Create an OrderedModel object |
| OrderedModel-class | Class OrderedModel |
| OrderedModel-method | Create an OrderedModel object |
| partition | Partition raster data |
| performance | Create ROCR performance objects |
| performance-method | Create ROCR performance objects |
| PerformanceList | Create a PerformanceList object |
| PerformanceList-class | Class PerformanceList |
| pie | Land use change dataset for Plum Island Ecosystem |
| plot | Plot method for objects based on Raster* data |
| plot-method | Plot method for AgreementBudget objects |
| plot-method | Plot method for FigureOfMerit objects |
| plot-method | Plot method for PerformanceList objects |
| plot-method | Plot method for objects based on Raster* data |
| plot.AgreementBudget | Plot method for AgreementBudget objects |
| plot.FigureOfMerit | Plot method for FigureOfMerit objects |
| plot.Model | Plot method for objects based on Raster* data |
| plot.ObsLulcRasterStack | Plot method for objects based on Raster* data |
| plot.PerformanceList | Plot method for PerformanceList objects |
| plot.ThreeMapComparison | Plot method for objects based on Raster* data |
| predict-method | Predict location suitability |
| predict.PredictiveModelList | Predict location suitability |
| PredictionList | Create a PredictionList object |
| PredictionList-class | Class PredictionList |
| PredictiveModelList-class | Class PredictiveModelList |
| randomForestModels | Fit predictive models |
| resample-method | Resample maps in ExpVarRasterList object or list |
| roundSum | Round elements in matrix or data.frame rows |
| rpartModels | Fit predictive models |
| show-method | Show |
| sibuyan | Land use change dataset for Sibuyan Island |
| subset-method | Subset |
| summary | Summary |
| summary-method | Summary |
| ThreeMapComparison | Evaluate allocation performance with three maps |
| ThreeMapComparison-class | Class ThreeMapComparison |
| ThreeMapComparison-method | Evaluate allocation performance with three maps |
| total | Total number of cells in a categorical Raster* object |
| [[-method | Extract by index |