BeeMAPS & The
University of Florida (05/2017 – Present)
- Behavioral Mapping @ University of Florida’s Mixed-Use Learning Environments
- Mapping ~8,000 Behavioral observations of individuals inside various learning environments across UF’s Gainesville’s campus.
- Inputs:
- CAD Drawing (.dwg) of Libraries
- 40+ Individual Excel Spreadsheets with collection data observations
- Process
- Python code to derive data from 40+ individual spreadsheets and merge them into one file for easy research, viewing, and QA/QC.
- This allowed us to extract and review the collected data in a standardized manner.
- Like most data collections, there were some quality control issues. BeeMAPS used customized Python code to evaluate the data based on UF’s criteria and “pull out” valid collections.
- The GitHub code repository for this project is here.
- Georeferencing the .dwg files against the most current aerials
- Co-relating the observational data to the geo-referenced CAD drawings
- Python code to derive data from 40+ individual spreadsheets and merge them into one file for easy research, viewing, and QA/QC.
- Inputs:
- Outcome
- Summarized results of the processed data can be found here
- Mapping ~8,000 Behavioral observations of individuals inside various learning environments across UF’s Gainesville’s campus.
Drones (2018 – Present)
- Deploying a Mavic Pro 2 to capture aerial photography at various scales to “patch” into existing aerial photography as well as capturing imagery at various angles and geographically referencing vector data into angled imagery.