This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.


Joined on Nov 2, 2014



Last released on Sep 19, 2016

wavelet-based digital grain size analysis


Last released on Nov 22, 2016

Python/Cython scripts to read Humminbird DAT and associated SON files, export data, carry out rudimentary radiometric corrections to data, and classify bed texture using the algorithm detailed in Buscombe, Grams, Smith, (2015) "Automated riverbed sediment classification using low-cost sidescan sonar", Journal of Hydraulic Engineering, 10.1061/(ASCE)HY.1943-7900.0001079, 06015019


Last released on Dec 14, 2016

PySESA is an open-source project dedicated to provide a generic Python framework for spatially explicit statistical analyses of point clouds and other geospatial data, in the spatial and frequency domains, for use in the geosciences. The program is detailed in Buscombe, D. (2016) "Computational considerations for spatially explicit spectral analysis of point clouds and geospatial data", 86, 92-108, 10.1016/j.cageo.2015.10.004.

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