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Geospatial research tools

Project description

Hazelbean

A collection of geospatial processing tools based on gdal, numpy, scipy, cython, pygeoprocessing, taskgraph, natcap.invest, geopandas and many others to assist in common spatial analysis tasks in sustainability science, ecosystem service assessment, global integrated modelling assessment, natural capital accounting, and/or calculable general equilibrium modelling.

Hazelbean started as a personal research package of scripts for Justin Johnson and is not supported for broad release. However, hazelbean underlies several experimental software releases, including some from the Natural Capital Project, and thus it is available via "pip install hazelbean". Note that hazelbean only provides a Python 3.6, 64 bit, Windows version, however with the exception of precompiled cython files, it should be cross-platform and cross-version. The precompiled files are only loaded as needed.

Installation

  • Install Anaconda3 with the newest python version (tested at python 3.6.3)
  • Install spatial libraries using conda command: "conda install -c conda-forge geopandas"
  • Pip install any missing dependencies
  • Install spatial libraries using conda command: "conda install -c conda-forge rasterstats"
  • Install spatial libraries using conda command: "conda install -c conda-forge netCDF4"
  • Install spatial libraries using conda command: "conda install -c conda-forge basemap"

And then finally,

  • Install hazelbean with "pip install hazelbean"

More information

See the author's personal webpage, https://justinandrewjohnson.com/ for more details about the underlying research.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
hazelbean-0.7.0-py3-none-any.whl (214.5 kB) Copy SHA256 hash SHA256 Wheel py3 Aug 16, 2018
hazelbean-0.7.0.tar.gz (929.6 kB) Copy SHA256 hash SHA256 Source None Aug 16, 2018

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