PySAL UCGIS Workshop 2016
May 23, 2016 Scottsdale, AZ
This workshop will cover effective methods for spatial data processing, analysis, visualization, and documentation of results. In addition, the workshop will cover how to use well-known Python packages for data analysis, like Pandas & IPython/Jupyter, with PySAL. Some up-and-coming packages that make spatial data analysis workflows easier will also be introduced. Participants will learn how to conduct a full exploratory spatial analysis workflow in this workshop
We request that attendees bring their own laptop. In addition, we ask that all attendees install the following python software packages before attending the workshop:
- PySAL 1.11
- Jupyter Notebook
- Download and install Python 2.7 from Anaconda. If you are on Windows, please install the 32-bit version.
- Open Terminal.app (Mac) or Powershell (Windows)
- At the prompt, make sure your installation is up to date by running the
conda update conda. Press
yif asked to confirm.
- Next, run
conda update mkl scipy numpy.
- Once that finishes, install the dependencies required for the workshop by
conda install pandas numexpr seaborn.
- Then, run
pip install -U pysaland confirm if asked.
pysalis installed, please run the following:
pip install -U folium
pip install -U geojson
- Finally, run
conda update jupyter
Verifying Your Installation:
At the same prompt you used to set up your terminal, type:
ipython and hit
enter. It may take a second, but a new prompt should start. This is the ipython
& jupyter command-line interface. To make sure your environment is configured
correctly, run each of these commands at the interpreter:
For windows users, if the first command fails with a message like :
DLL load failed. The specified module could not be found, please uninstall Anaconda and
be sure to install the 32-bit version.
Sergio J. Rey is Professor of Geographical Sciences and core faculty member of the GeoDa Center of Geospatial Analysis and Computation at Arizona State University. He is a Fellow of the Spatial Econometrics Association. Dr. Rey is project director for PySAL and the creator of the open source package STARS: Space-Time Analysis of Regional Systems.
Levi John Wolf is a PhD candidate in the GeoDa Center of Geospatial Analysis and Computation at Arizona State University. His focus is in spatial statistics for polimetrics and quantitative social science. He has also consulted on statistics and geospatial software engineering for startups, like CartoDB and Nextdoor.