6. Misc Topics

ENV 859 - Geospatial Data Analytics   |   Fall 2024   |   Instructor: John Fay  

This “Misc Topics” section includes a la carte tutorials, recordings, and other materials from which you can chose for the final section of the class. The idea is to chose the one that either most interests you or seems most relevant to your course project or other work.

:point_right:At present, not all topics are complete. I will be working on them in the near future and can notify you when they are ready to tackle…

For now, browse the topics and notify me if you are interested in any of these topics. I will prioritize those I know you want to do.

Section Topics & Learning Outcomes

   
Cloud-based GIS • Fetching and using remote data in Python
• GIS & Web Services
• The ArcGIS API for Python
ArcGIS Insights & Dashboards • Access the Insights interface within AGOL
• Create a new Insights workbook
• Add content to your workbook
• Recognize and modify data types
• Create and manipulate visualizations
• Enable location in tabular dataset
• Link tables
• Perform Analyses

• Configure a web map for use in a dashboard
• Create and configure dashboard information elements
• Create and configure dashboard selectors
• Configure dashboard actions
• Creating StoryMaps in AGOL
Spatial Statistics • Creating a prediction model
• Create a suitability model
• Detect spatial patterns
• Detect spatio-temporal patterns
Object Detection & Deep Learning • Prepare training sample data for object detection
• Train and use an object detection model
Earth Engine & geemap • Getting access to Google Earth Engine (via a Google Account).
• Use GEE’s native JavaScript interface for running Earth Engine analyses.
• Use Google Colaboratory for writing, running, and managing Jupyter notebooks.
• Install packages in Google Colab notebooks.
• Authenticate and initialize the Geemap package.
• Run GEE commands in Python using Geemap and other Python packages.