A package for creating geofabrics for flood modelling.

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  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc...)
  • Author: Rose pearson
  • Tags GeoFabrics, DEM, Roughness, Hydrologically conditioned, LiDAR
  • Requires: Python >=3.9
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Project description

GeoFabrics

Linux

The geofabrics package includes routines and classes for combining point (i.e. LiDAR), vector (i.e. catchment of interest, infrastructure), and raster (i.e. reference DEM) to generate a hydrologically conditioned raster.

Installation

geofabrics is avaliable on conda-forge and PyPI. Conda is recommended due to difficulties installing geopandas (a dependency) with pip on Windows. See the Wiki Install Instructions for more information.

General workflow

DEM_generation_workflow

Documentation

Wiki

For detailed instructions on installation, usage, and testing please check out the repo wiki.

API documentation

For auto-generated API documentation, checkout the repo pages.

Contributions

Please see our Issue Tracker for details on coming features and additions to the software.

There is no current expectations of contributions to this project. We accept input in code reviews now. If you would like to be involved in the project, please contact the maintainer.

Contacts

Maintainer: Rose Pearson @rosepearson rose.pearson@niwa.co.nz

License

GNU GPL

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for rosepearson from gravatar.com rosepearson

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc...)
  • Author: Rose pearson
  • Tags GeoFabrics, DEM, Roughness, Hydrologically conditioned, LiDAR
  • Requires: Python >=3.9
Classifiers

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1.1.24

1.1.23

1.1.22

1.1.20

1.1.19

1.1.18 yanked

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1.1.17 yanked

Reason this release was yanked:

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1.1.15 yanked

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1.1.13

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0.10.5

0.10.4

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0.9.2

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