- This course provides an introduction to working with geospatial data in Python for experienced Python users.
2-3 hours
- Python users wanting to work with geospatial data.
By the end of the course you will:
- Know how to load and manipulate spatial data into Python using the Geopandas library.
- Be familiar with using GSS codes to join statistics to geographies.
- Be aware of map projections and Coordinate Reference Systems (CRS) and be able to modify them.
- Understand how to use spatial joins.
- Know how to make static maps in matplotlib.
- Be able to export your maps and shapefiles.
- Please make sure that you have followed the Installation Guide for python Geo-libraries or have all the recommended libraries pre-installed on your machine before beginning this course.
- We recommend going through the Awareness of Geography and Statistics training prior to starting this course.
- Download this repository onto your machine.
- Unzip the repository and save it on your Downloads.
- Launch Jupyter Notebook from the Program Anaconda Navigator.
- On Anaconda Notebook, navigate to the downloads folder and open the Intro_to_Geography_in_Python_Instructions.ipynb and use it as your guide.
- Repeat the previous step and open the Intro_to_GIS_in_Python_Workbook.ipynb to use it as your working environment as you make your way through the course.
- copy the data folder from the downloads to your local drive and use the data provided.