I am using an R script to calculate an ecological metric known as interspersion and juxtaposition. I am creating this as a tool in Pro but when the input parameter that is a classified image is run from Pro in the script I am getting this error:
Error in sample_lsm : no applicable method for 'landscape_as_list' applied to an object of class "character"
It seems for some reason the input layer of the classified image is being read as a character and not a raster when coming from Pro.
I can run the script successfully hardcoded outside of Pro using an exported raster as .img format.
I've attached a screenshot of the parameters I have set in the script tool and included my R script here.
tool_exec <- function(in_params, out_params){
library(raster)
library(landscapemetrics)
library(arcgisbinding)
library(gdalUtils)
library(sp)
library(sf)
library(dplyr)
arc.check_product()
arc.check_portal()
R1 <- in_params[[1]]
survey <- in_params[[2]]
csv <- out_params[[1]]
B<-arc.select(arc.open(survey))
x <-arc.shape(B)
geom <- arc.shape2sp(x)
points_sp <-geom
samples = dplyr ::bind_rows(
sample_lsm(R1, y= points_sp,
size = 150, #Set radius in meters
what =c("lsm_l_iji"),
shape = "circle"))
metrics <- rbind(samples)
print("csv appended")
write.csv(metrics, paste0("Interspersion.csv"))
print("Done")
