Gaps filled

This function calculates how well the reconstructions closed gaps in the network receiver array

Usage

gps_fld(df)

Arguments

df

data frame object consisting of results from iterative reconstruction process

Value

a data frame object with a percentage of grid cells that contained a good fit out of those that lacked receivers

Examples

# Apply gps_fld to list of grid resolutions

library(sporeg)
library(dplyr)
library(sf)
library(data.table)
load(system.file("extdata", "res.Rda", package = "sporeg"))

clsd_gps <- lapply(res, gps_fld) %>%
data.table::rbindlist(., idcol = 'resolution') %>%
 left_join(tibble(resolution = 1:4,
                   res_name = c("100km", "50km", "25km", "10km")),
           by = "resolution") %>%
 dplyr::mutate(res_name = ordered(res_name, levels = c("100km", "50km", "25km", "10km")))