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<!-- badges: end -->geohabnet
This package expands on Xing et al
(2021).
It adds capabilities to customize parameter values using functions and
shows the results of habitat connectivity risk index in the form of
plots. The goal of geohabnet
is to enable users to visualize a habitat
connectivity risk index using their own parameter values. The risk
analysis outputs 3 maps -
-
Mean habitat connectivity (based on a habitat connectivity index defined by the user)
-
Difference in habitat connectivity
-
Variance in habitat connectivity
This package currently supports crop maps sourced from
geodata::monfredaCrops()
and geodata::spamCrops()
. This analysis
produces the 3 maps listed above. There are multiple ways in which
functions can be used - generate the final outcome and then the
intermediate outcomes for more sophisticated use cases. The vignettes
provide several examples. The output values are propagated to other
functions for performing operations such as distance matrix calculation.
The values are set in parameters.yaml
and it can be accessed using
get_parameters()
. See the usage below.
Installation
Package can either be installed from CRAN:
install.packages("geohabnet")
#> Installing package into '/private/var/folders/r5/zggvft9d3yn5kh51wqp78rd00000gn/T/RtmpBU77e3/temp_libpath4f5365f57439'
#> (as 'lib' is unspecified)
#>
#> The downloaded binary packages are in
#> /var/folders/r5/zggvft9d3yn5kh51wqp78rd00000gn/T//RtmpBqmkXl/downloaded_packages
or the source version of package can be installed from GitHub with:
if (!require("devtools")) {
install.packages("devtools")
}
devtools::install_github("GarrettLab/HabitatConnectivity", subdir = "geohabnet")
geohabnet Example
library(geohabnet)
param_file <- geohabnet::get_parameters()
# now edit the file
geohabnet::set_parameters(new_params = param_file)
Run the analysis using -
geohabnet::sensitivity_analysis()
parameters.yaml
stores the parameter and its values. It can be
accessed and set using get_parameters()
and set_parameters()
respectively. By default risk analysis is run on global index, for which
scales are present in global_scales()
.
Refer to help using ?geohabnet::fun or help(geohabnet::fun)
Refer to article Analyzing risk index using cropland connectivity for more elaborate description and usages of functions in this package.