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This function summarizes minimum, maximum, and mean statistics for depth (mean_depth), distance from shore (d_shore), receiver count (count), receiver presence/absence (p_a), and the percentage of grid cells missing receivers for all of the good fits (g_fit).

Usage

gd_fts(df)

Arguments

df

data frame object consisting of results from iterative reconstruction process

Value

a data frame object with summary statistics from grid cells that contained good fits

Examples

# Apply gd_fts to list of grid resolutions

library(sporeg)
library(dplyr)
library(sf)
library(data.table)

load(system.file("extdata", "res.Rda", package = "sporeg"))

gd_fit_char <- lapply(res, gd_fts) %>%
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")))