
hydromeso: Classify Fluvial Mesohabitats from Depth and Velocity
Source:R/hydromeso-package.R
hydromeso-package.Rdhydromeso applies validated rectangular depth-velocity rules to numeric,
tabular, vector, and raster hydraulic data. The default eight-class scheme
implements the thresholds used by Cordero and Harris (Preprint), with the broader
depth-velocity mesohabitat framework informed by Aadland (1993).
Details
The output is a hydraulic mesohabitat classification based on depth and velocity only. It does not independently establish biological habitat quality or species occurrence. Biological interpretation also depends on species, life stage, stream type, substrate, cover, connectivity, water quality, temperature, flow regime, model resolution, and local validation. Raster outputs inherit uncertainty from hydraulic models and input data; alignment and interpolation can affect cells near thresholds. Class IDs are nominal identifiers rather than ordinal scores.
References
Cordero, E. and Harris, A. (Preprint). Semi-Supervised and Supervised Machine Learning Approaches to Predicting Fluvial Mesohabitats from Satellite Data. SSRN preprint. doi:10.2139/ssrn.7100727 .
Aadland, L. P. (1993). Stream Habitat Types: Their Fish Assemblages and Relationship to Flow. North American Journal of Fisheries Management, 13(4), 790-806. doi:10.1577/1548-8675(1993)013<0790:SHTTFA>2.3.CO;2 .
Author
Maintainer: Elvin Cordero elvin.cordero@seamountgeo.com (ORCID)