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All functions

inv_powerlaw() neg_expo()
Dispersal kernels
GeoModel-class .model_ob
GeoModel class
`habitat_density<-`(<GeoNetwork>)
GeoNetwork
GeoRasters-class .rast_ro
GeoRaster class
GlobalRast-class .grast_ro
GlobalRast class
setmaps()
Gmap class
RiskMap-class
RiskMap class
connectivity()
Calculate and plot maps of habitat connectivity
dist_methods()
Distance methods supported
.indices()
Internal function to extract risk indices from a list of crop rasters.
geoscale_param()
Get geographical scales from the parameters
get_parameters()
Get Parameters
get_rasters()
Get rasters object from parameters See host object in get_parameters() or load_parameters().
global_scales()
Global geographical extent
gplot()
Plot a Raster* object
`habitat_density<-`()
Set the habitat density.
hci_diff()
Calculate difference map
hci_mean()
Calculate mean of habitat connectivity in a region
hci_variance()
Calculate variance of habitat connectivity in a region
load_parameters()
Load Parameters from YAML File
ndplot(<GeoNetwork>)
Network density
ndplot()
Network density plot
nn_sum() node_strength() betweeness() ev() degree() closeness() pagerank()
Calculation on network metrics a.k.a centralities.
reset_params()
Reset parameters.yaml
reso()
Get resolution value
risk_indices()
Get risk indices
sa_onrasters() msean_onrast()
Run sensitivity analysis
sean() msean()
Sensitivity analysis across maps of habitat connectivity
sensitivity_analysis()
Sensitivity analysis for habitat connectivity
set_global_scales()
Set global geographical extent
set_parameters()
Set Parameters
setmaps(<Gmap>)
Sets the map slots in the Gmap object.
setprops(<GeoModel>,<character>,<numeric>,<numeric>)
Set properties of the GeoModel object.
setprops()
Set properties of the GeoModel object.
supported_metrics()
Returns metrics currently supported in the analysis.