Scope: Location analysis plays a central role in a variety of situations such as identifying potential breeding areas for mosquitoes, finding the best path for emergency evacuation, demarcating suitable area for a national park, and identifying the hot spots of air-pollution and green-house gas emissions. This workshop will help you develop a solid foundation in location analytics with ArcGIS and Python. We will primarily focus on vector data (points, lines, and polygons) analyses, but will also touch upon situations where raster (remotely sensed observations) and vector data can be combined to get a better handle on a problem.
Pedagogy: The workshop will follow a problem-based learning approach where real life examples play a central role. We will use appropriate moments and opportunities provided by examples to discuss and learn about fundamental concepts in GIS, computational geometry, and spatial statistics. The workshop will also emphasize and help you appreciate systematic trial and error as a central tenet of algorithmic problem solving.
Prerequisites: Interests in location analysis and exposure to GIS. If you do not have any previous experience with GIS, consider taking Geospatial Analysis with Python, a free workshop offered by CSCAR on November 2, 2016.
This is an introductory workshop. Future workshops will build on this and include intermediary and advanced tools required to solve location related problems in a variety of policy, scientific, and business contexts.