can the results be visualization?

[vicky-c-c]

Hi,there

I have calculate the landscape matric values using the sample_lsm,and then I acquire a dataframe,like this,I'm interseted in one question:can the dataframe link with my tiles,or translate to the shapeflie,any ways to visualize the calculation result.

Thank you.

[mhesselbarth]

Hey,

Using sf objects this is quite straightforward. You just need to transform the resulting tibble to the wide format, i.e. each row corresponds to a sample point and the values are in the columns . Then, you can simply combine the columns of the sf object and metrics and finally plot the result.

The following code is adapted from an example created by @Nowosad.

library(landscapemetrics)
library(raster)
library(sf)
library(tidyverse)

# create grid (polygons) to sample metrics
sample_grid <- st_make_grid(augusta_nlcd, n = c(5,5))

sample_grid <- st_sf(geom = sample_grid)

# sample metrics for each grid cell
sample_metrics <- sample_lsm(landscape = augusta_nlcd, y = sample_grid, 
                             level = "landscape", type = "aggregation metric", 
                             verbose = FALSE)

# reshape from long to wide
sample_metrics <- pivot_wider(sample_metrics, 
                              names_from = metric, 
                              values_from = value)

# add to sf object
sample_grid <- bind_cols(sample_grid, sample_metrics)

# plot results
plot(sample_grid["split"])

^{Created on 2020-01-13 by the reprex package (v0.3.0)}

[Nowosad]

@VC826 feel free to reopen the issue if the above answer is not enough.