Have you ever wanted to learn how to publish, consume, and use geographic web services? Are in intrested in learning how typical desktop GIS and remote sensing workflows change when the data is shared as a web service? Do you want to learn how to create webmaps and webaps using Python, Javascript, and HTML? After completing this course, you will understand how to do all of these things! In Advanced Python for GIS and Remote Sensing, students will learn how to publish, consume, and analyze web services using Python. They will be introduced to more powerful, more advanced Python libraries such as Pandas, Numpy, ArcGIS, and Folium. They will also learn how to use the ArcGIS API for Javascript to create their first stand-alone web applications. This class builds on what students learned in GIS 4090\5090 and helps them develop knowledge and skills that they will use throughout their careers.
- To teach students how to work with geogarphic web services.
- To introduce students to modern data science methods and tools that can be used to augment their research in geography and remote sensing.
- Encourage students to use web services, webmaps, and webapps for visualizing and contextualizing data.
| Week | Topics |
|---|---|
| Week 1 | Web Mapping with Leaflet and Github |
| Week 2 | Creating GIS Applications with the ArcGIS Javascript API |
| Week 3 | GIS Web Application and 3D Scenes |
| Week 4 | Popups and Widgets in Webapps |
| Week 5 | Jupyter Notebooks (IDE), Intro to the ArcGIS API for Python, |
| Week 6 | Github and Administering Your Organization |
| Week 7 | ArcGIS API for Python: Publishing and Analysis |
| Week 8 | ArcGIS API for Python: Data Science |
| Week 9 | Intro to Pandas and ArcGIS Spatial DataFrames |
| Week 10 | Numpy and Rasters |
| Week 11 | Esri Raster Functions |
| Week 12 | Advanced Plotting with Matplotlib and Seaborn and Intro to Scikit-learn |
| Week 13 | Plotting with JS by @JWasilgeo: DataViz, D3, Charting |
| Week 14 | Scikit-learn and Multiprocessing |
| Week 15 | Students Present Final Project |
| Weight | Type |
|---|---|
| 20% | Weekly Assignments |
| 20% | Project 1 - Web Application Project |
| 20% | Project 2 - ArcGIS Python API Project |
| 20% | Project 3 - Data Science Notebook Project |
| 20% | Project 4 - Student Defined Final Project |