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To cite hydromeso in publications, use: The default eight-class thresholds are from: For the broader depth-velocity habitat framework, cite:
Cordero E (2026). hydromeso: Classify Fluvial Mesohabitats from Depth and Velocity. R package version 0.1.0.
Cordero E, Harris A (Preprint). “Semi-Supervised and Supervised Machine Learning Approaches to Predicting Fluvial Mesohabitats from Satellite Data.” doi:10.2139/ssrn.7100727. Preprint posted to SSRN.
Aadland L (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.
Corresponding BibTeX entries:
@Manual{,
title = {hydromeso: Classify Fluvial Mesohabitats from Depth and
Velocity},
author = {Elvin Cordero},
year = {2026},
note = {R package version 0.1.0},
}
@Unpublished{,
title = {Semi-Supervised and Supervised Machine Learning Approaches
to Predicting Fluvial Mesohabitats from Satellite Data},
author = {Elvin Cordero and Aubrey Harris},
year = {Preprint},
note = {Preprint posted to SSRN},
doi = {10.2139/ssrn.7100727},
}
@Article{,
title = {Stream Habitat Types: Their Fish Assemblages and
Relationship to Flow},
author = {Luther P. Aadland},
journal = {North American Journal of Fisheries Management},
year = {1993},
volume = {13},
number = {4},
pages = {790--806},
doi = {10.1577/1548-8675(1993)013<0790:SHTTFA>2.3.CO;2},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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