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All functions

MetaLandSim-package MetaLandSim
Landscape And Range Expansion Simulation
accept.calculate()
Calculate acceptance rates in MCMC chains
addpoints()
Add a given number of patches to a landscape
cabrera
Modified patch occupancy data of Cabrera vole
calcmode()
Function for mode estimation of a continuous variable
cluster.graph()
Delivers the number of patches per cluster
cluster.id()
Classify patches in clusters
coda.create()
Create files for use with R-package coda.
combine.chains()
Combines two chains into a single chain.
components.graph()
Number of components of a landscape
convert.graph()
Convert data frame to landscape
create.parameter.df()
Create parameter data frame
edge.graph()
Produce an edge (links) data frame
expansion
Class 'expansion'
extract.graph()
Extract landscape from span.graph generated list
ifm.missing.MCMC()
Estimate the 'missing' design incidence function model
ifm.naive.MCMC()
Estimate the naive design incidence function model
ifm.robust.MCMC()
Estimate the robust design incidence function model
import.shape()
Import a shapefile
iterate.graph()
Simulate landscape series occupation
landscape
Class 'landscape'
landscape_change
Landscape loosing 5% of patches per time step
list.stats()
Returning information on a dynamic landscape list
manage_expansion_sim()
Simulate range expansion simulation
manage_landscape_sim()
Batch landscape simulation
matrix.graph()
Returning a matrix with information on connections between patches
mc_df
Modified patch occupancy data of Cabrera vole as a data frame
merge_order
Internal functions for the MetaLandSim package.
metapopulation
Class 'metapopulation'
metrics.graph()
Computes landscape connectivity metrics
min_distance()
Computes topological distance
occ.landscape
Sample landscape with one simulated occupancy snapshot
occ.landscape2
Sample landscape with 10 simulated occupancy snapshots
param1
Sample parameter data frame number 1
param1
Sample parameter data frame number 2
parameter.estimate()
Estimate parameters
plotL.graph()
Plot one landscape of the list created by span.graph
plot_expansion()
Graphical display of the expansion simulations
plot_graph()
Graphical display of the landscape
range_expansion()
Computes a range expansion model
range_raster()
Probability of occupancy, dispersal model
remove.species()
Remove the species occupancy from the landscape
removepoints()
Remove a given number of patches from the landscape
rg_exp
List with range.expansion output
rland
Random landscape
rland.graph()
Creates random landscape graph
sim.area
Vector of the areas for each site; here, 100 sites
sim.det.20
Array corresponding to nsites x nyears x nvisits
sim.distance
Distance matrix between sampling sites (nsite x nsite).
simulate_graph()
Simulate species occupancy in one dynamic landscape
simulatedifm
Set of simulated data to use with the IFM parameter estimation functions. The data were generated using the code provided in "details".
span.graph()
Simulate landscape dynamics over a number of time steps
species.graph()
Simulate landscape occupation
spom()
Stochastic Patch Occupancy Model
summary_landscape()
Summarize 'landscape' class objects
summary_metapopulation()
Summarize 'metapopulation' class objects
z.sim.20
Occupancy data generated with perfect detection with approximately 20% of data missing at random.
z.sim.20.fa
Occupancy data containing false absences
z.sim
Occupancy data generated with perfect detection.