if (FALSE) {
# These examples require directory structures with multiple data files
# Analyze correlations between multiple variables
variables <- list(
ndvi = "ndvi.tif",
nitrogen = "soil_nitrogen.tif",
elevation = "dem.tif",
precipitation = "precip.tif"
)
correlation_results <- analyze_variable_correlations(
variables,
output_folder = "correlations/",
region_boundary = "Ohio"
)
}
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