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Scale Spatial Layers to Between 0 and 1

Source: R/utils.R
splnr_scale_01.Rd

splnr_scale_01() re-scales the numeric values in a specified column of an sf dataframe to a range between 0 and 1. This is particularly useful for normalizing data like probabilities or costs.

Usage

splnr_scale_01(dat, col_name)

Arguments

dat

An sf dataframe containing the column to be scaled.

col_name

A character string specifying the name of the numeric column in dat that needs to be scaled.

Value

An sf dataframe identical to the input dat, but with the values in the col_name column re-scaled to be between 0 and 1.

Details

This function inspects the maximum value (mx) in the col_name column. It then divides all values in that column by a divi factor to bring them into the 0-1 range. The divi factor is determined heuristically:

  • If mx > 100, divi is 1000.

  • If mx > 10, divi is 100.

  • If mx > 1, divi is 10.

  • If mx <= 1, no division is performed (divi is 1), as the data is already within the desired range.

This approach ensures that the data is scaled appropriately without hardcoding a fixed division factor.

Examples

if (FALSE) { # \dontrun{
# Scale the 'Spp1' column.
df_scaled_spp1 <- splnr_scale_01(dat = dat_species_prob, col_name = "Spp1")
print(df_scaled_spp1)

# Example where max is already <= 1
df_already_scaled <- dat_species_prob %>% dplyr::mutate(Spp1 = Spp1 / 100)
df_no_change <- splnr_scale_01(dat = df_already_scaled, col_name = "Spp1")
print(df_no_change) # Spp1 values should remain unchanged
} # }