Recently I was approached by someone using our lconnect R package for teaching, which is great! Just a quick reminder: this is a very simple R package I created with Bruno Silva, that computes patch connectivity metrics and assesses habitat patch importance in a given landscape.
This lconnect user requested something that was a really good idea, and I can’t believe we haven’t thought about it: Exporting the connect outputs as shapefiles. I devised a simple workaround (maybe in a later version we will create a function for this…).
So… let’s start! We can use the sample code and data:
library(lconnect)
library(sf)
#Load data
vec_path <- system.file("extdata/vec_projected.shp", package = "lconnect")
landscape <- upload_land(vec_path, bound_path = NULL, habitat = 1, max_dist = 500)
Having the data on the landscape, we can derive the patch importance:
#Deriving patch importance
importance <- patch_imp(landscape, metric = "IIC")
We can plot both, the landscape and the importance:
plot(landscape)
plot(importance)
The landscape created above is of class “connect”. We can check this by doing:
class(landscape)
But this object is based upon the “sf” class, of the package sf. We can check this by doing:
class(landscape$landscape)
The patch importance output is of class “pimp”, but also based upon the “sf” class:
class(importance)
class(importance$landscape)
So, to save these outputs as shapefiles we can use the functions of the sf package:
st_write(landscape$landscape, “landscape.shp”)
st_write(importance$landscape, “importance.shp”)
I hope this has been useful!
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