river-clusters: Clustering river profiles from topographic data
Cite as:
Clubb, Fiona; Bookhagen, Bodo; Rheinwalt, Aljoscha (2019): river-clusters: Clustering river profiles from topographic data. V. 1.0. GFZ Data Services. https://doi.org/10.5880/fidgeo.2019.006
Status
I N R E V I E W : Clubb, Fiona; Bookhagen, Bodo; Rheinwalt, Aljoscha (2019): river-clusters: Clustering river profiles from topographic data. V. 1.0. GFZ Data Services. https://doi.org/10.5880/fidgeo.2019.006
Abstract
This software package contains code for performing agglomerative hierarchical clustering on river long profiles extracted from topographic data. The software requires initial topographic analysis to extract river profiles based on the Edinburgh Land Surface Topographic Tools package. Detailed documentation and tutorials for installation and running the code can be found at https://lsdtopotools.github.io/LSDTT_documentation/. The package written in Python and based on the scipy cluster package. The development version of the code can be found on GitHub (https://github.com/UP-RS-ESP/river-clusters) along with full instructions on how to install and run the code.
Authors
Clubb, Fiona;University of Potsdam, Potsdam, Germany
Released
Software
Abstract
;University of Potsdam, Potsdam, Germany
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