R: Land Use Change Modelling in R

# Land Use Change Modelling in R

## Documentation for package ‘lulcc’ version 1.0.4

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

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