Compute summary statistics for adjustment_result
Usage
# S3 method for class 'adjustment_result'
summary(object, ...)Arguments
- object
- object of class adjustment_result 
- ...
- further specifications, see summary for details 
Examples
library(sf)
# Read source points
source_pts <- st_read(
  dsn = system.file("gpkg/data-prefecture.gpkg", package = "distanamo"),
  layer = "prefecture", quiet = TRUE
)
# Read non adjusted image points
image_pts_not_adj <- st_read(
  dsn = system.file("gpkg/data-prefecture.gpkg", package = "distanamo"),
  layer = "image-points-not-adjusted", quiet = TRUE
)
# Read the background layer to deform
background_layer <- st_read(
  dsn = system.file("gpkg/data-prefecture.gpkg", package = "distanamo"),
  layer = "departement", quiet = TRUE
)
# Adjust image points to source points
adj_result <- dc_adjust(
  source_points = source_pts,
  image_points = image_pts_not_adj,
  "euclidean"
)
# Plot result of the adjustment step
plot(adj_result)
 # Summary statistics of the adjustment step
summary(adj_result)
#> Summary of the adjustment:
#> Min displacement: 2349.236 [m] 
#> Mean displacement: 34569.15 [m] 
#> Max displacement: 108405.5 [m] 
#> Transformation matrix:
#>      358.1063 1126.673 673162.7 
#>      -1170.315 396.8617 6619705 
#> Scale: 1208.994 
#> RMSE: 39842.59 
#> RMSE x: 25310.6 
#> RMSE y: 30770.21
# Summary statistics of the adjustment step
summary(adj_result)
#> Summary of the adjustment:
#> Min displacement: 2349.236 [m] 
#> Mean displacement: 34569.15 [m] 
#> Max displacement: 108405.5 [m] 
#> Transformation matrix:
#>      358.1063 1126.673 673162.7 
#>      -1170.315 396.8617 6619705 
#> Scale: 1208.994 
#> RMSE: 39842.59 
#> RMSE x: 25310.6 
#> RMSE y: 30770.21 
