/gsa2017

gsa2017

This repository was born as a stripped-down fork of the King's Geocomputation repository. Its purpose it to keep track of changes to the .yml file used for setting up a conda environment which turned out to be necessary during Spatial Analysis tutorials in Spring 2018. It should provide a place from which an up-to-date working version of the environment can be retrieved and installed.

On Unix run:

curl https://raw.githubusercontent.com/alanecode/gsa2017/master/setup.yml -o setup.yml
conda env create -f setup.yml

On Windows, download setup.yml and run conda env create -f setup.yml

This will create a new environment called gsa2017sa intended to be used for Spatial Analysis tutorials. This will probably need to be augmented to also accomodate all modules needed for Applied Geocomputation and Spatial Analysis. E.g. At the time of writing, SOMPY is not included in the gsa2017sa environment.

Remember: when installing on one of KCL's Windows machines, it is necessary to run the following commands in the Anaconda prompt to persuade Jupyter to provide the new environment as a kernel option:

activate gsa2017sa
python -m ipykernel install --name gsa2017sa --display-name "gsa2017sa"

Change log

  • Attempted a compromise between the forked geocomputation version of setup.ymland the version Chen posted to KEATS on 2017-02-01 which includes a working version of georasters and is tested on Windows. There may be some parts of this merge which don't work for modules needed for Applied Geocomputation, including SOMPY.

  • Added the module pointpats installed using pip. This module contains the PointPattern object which was formerly included in the PySAL module pysal.contrib.points.pointpattern before the PySAL refactoring effort. After this inclusion, it should be possible to import PointPattern using from pointpats import PointPattern.

TODO

  • 2017-02-13 Test gsa2017sa on Windows