Date of Award
5-2017
Degree Type
Practitioner Report
Degree Name
Master of Science in GIS for Development and Environment (GISDE)
Department
International Development, Community and Environment
Chief Instructor
Yelena Ogneva-Himmelberger
Keywords
GIS, Python, OSM
Abstract
This report documents my Summer 2016 internship with Calthorpe Analytics, a Berkeley CA based urban planning firm. Calthorpe Analytics specializes in scenario development for planning, modeling, and plan evaluation for government and municipal clients. The primary responsibility of my internship was model development and refinement using advanced spatial analytics working in the Python programming language. The internship was extremely successful: it gave me a great opportunity to strengthen my open source GIS skillset, deepen my understanding of data science, and vastly improve my geospatial programming skillset. It also gave me a chance to apply advanced geospatial modeling and spatial statistics in practice. The firm provided a great working environment and a very supportive culture in which to learn and test new ideas and techniques. The following paper will expand on the work of Calthorpe Analytics, their culture and organization, my contributions to their workflow, and reflect on the personal and professional impact of the internship.
Recommended Citation
Upton, Samuel M., "Data and Geometry; Model Building at Calthorpe Analytics" (2017). International Development, Community and Environment (IDCE). 152.
https://commons.clarku.edu/idce_masters_papers/152