There are many ways to represent the spatial anisotropy of terrain forms.
In this case, I focused on a comparative approach: the real surface area of different geomorphon classes plotted against slope aspect.

All calculations were performed within the polygon of the effective catchment area of the Inhulets River.
This visualization highlights how specific landform types tend to “align” with certain aspect directions, revealing structural asymmetries within the catchment.

#Geospatial #Geomorphometry #TerrainAnalysis #RStats #DataViz #Hydrology #SAGA #EnvironmentalScience #GIS #RemoteSensing #InhuletsRiver #ggplot2 #Copernicus #CopernicusDEM #Geomorphology

I try to keep my results accessible even for readers who aren’t familiar with digital mapping or GIS.
One simple technique is to complement classification maps with clear charts and tables showing how much area each class occupies.
Here’s an example: the total surface area of geomorphon classes within the study region.

There’s also a small but important detail that often gets overlooked: the order of classes in the chart should match the order used in tables and map legends.
This tiny consistency makes it much easier for readers to orient themselves and follow the logic of the analysis.

#GIS #Geomorphometry #DataViz #OpenScience #RStats #terra #QGIS #InhuletsRiver #ggplot2 #SAGA #FOSS