Instructor: Brian Voigt
Start Date: March 23rd, 2022
Geographic Information Systems (GIS) are increasingly featured as an integrating technology for analyzing economic, social and environmental data. This course will expose the learner to advanced techniques for collecting, curating, analyzing and understanding spatial data and communicating technical findings to a broad range of audiences. Building on the content of the Introductory Course, Advanced GIS will prepare the student to independently conduct spatial analyses.
This course uses the most current version of ESRI’s ArcGIS Pro software.
Learning materials will include a mixture of readings, videos, slide-based presentations and critical evaluation of real-world examples. Participants will gain practical skills in the application of ArcGIS to data analysis and problem solving through the completion of lab assignments and participation in the course Discussion Forum.
By the end of the course, the student will be able to:
- Understand & identify ethical questions surrounding data creation, analysis and representation
- Integrate public data resources from multiple repositories into a cohesive analytic framework
- Apply advanced vector (e.g. network analyses, attribute conflation, queries) and raster (e.g. hydrology, interpolation, raster calculator) geoprocessing tools to analyze spatial data
- Create automated geoprocessing workflows using Model Builder and the Python programming language
- Apply critical thinking skills to assess the suitability of available data (e.g. scale, resolution, accuracy and currency) and/or geoprocessing approaches
- Acquire the necessary skills to develop and execute a project utilizing ArcGIS as a management, analytical, and/or visualization tool