
Terrain Analysis with Stream Network Visualization
plot_slope_channels.RdCreates a visualization of terrain analysis including slope, contours, and
stream network. This function uses pre-calculated geomorphology metrics from
calc_geomorph_metrics().
Usage
plot_slope_channels(
dtm,
metrics,
contour_interval = 10,
stream_threshold = 1000,
hillshade_angle = 45,
hillshade_direction = 270,
contour_color = "darkorange4",
contour_width = 1,
label_size = 0.8,
slope_alpha = 0.6,
stream_color = "blue",
stream_width = 1,
main_title = "Slope with contours and streams"
)Arguments
- dtm
SpatRaster. dtm raster object from the terra package.
- metrics
Optional. A list object returned from
calc_geomorph_metrics(). If NULL, the function will calculate metrics internally. Default is NULL.- contour_interval
Numeric. Elevation interval for contour lines. Default is 10.
- stream_threshold
Numeric. Threshold value for stream extraction (number of cells). Higher values result in fewer streams. Default is 1000.
- hillshade_angle
Numeric. Sun elevation angle for hillshade calculation (0-90 degrees). Default is 45.
- hillshade_direction
Numeric. Sun azimuth direction for hillshade (0-360 degrees). Default is 270.
- contour_color
Character. Color for contour lines. Default is "darkorange4".
- contour_width
Numeric. Line width for contours. Default is 1.
- label_size
Numeric. Size of contour labels. Default is 0.8.
- slope_alpha
Numeric. Transparency of slope overlay (0-1). Default is 0.6.
- stream_color
Character. Color for stream network. Default is "blue".
- stream_width
Numeric. Line width for streams. Default is 1.
- main_title
Character. Plot title. Default is "Slope with contours and streams".
Value
A named list containing:
dtm: Original dtm as SpatRasterslope: Slope in degrees as SpatRasteraspect: Aspect in radians as SpatRasterhillshade: Hillshade as SpatRastercontours: Contour lines as SpatVectorstreams: Stream network as SpatRasterflow_acc: Flow accumulation as SpatRaster
Details
This function creates a comprehensive terrain visualization by:
Using pre-calculated geomorphology metrics (slope, aspect, hillshade, contours, streams)
Creating a multi-layer visualization with hillshade, slope, contours, and streams
Examples
if (FALSE) { # \dontrun{
# Load dtm
dtm <- rast("path/to/dtm.tif")
# Calculate metrics once
metrics <- calc_geomorph_metrics(dtm, stream_threshold = 1000)
# Use metrics for plotting
result <- plot_slope_channels(dtm, metrics = metrics)
# Custom parameters
result <- plot_slope_channels(
dtm = dtm,
metrics = metrics,
contour_interval = 20,
stream_color = "darkblue"
)
# Access individual results
plot(result$slope)
plot(result$streams)
} # }