Loading...

Description

Would you like to leverage spatial data to start exploring the relationships of agricultural processes across geographies? This course is designed for those who are interested in explicitly accounting for location in their analyses. Through this 3-week introductory course, you will learn how to work with spatial data in Python, starting from importing different spatial datasets and creating simple maps, to conducting basic geocomputation on vector and raster data. In each 2.5 hour lecture, you will have the opportunity to immediately practice your new skills via hands-on exercises focused on agri-food applications. 
  • Week 1: Introduction to spatial data and mapping in Python
  • Week 2: Basic geocomputation with vector data in Python
  • Week 3: Basic geocomputation with raster data in Python
The course will be delivered via a Jupyter Notebook hosted on the GEMS Informatics Platform. You do not need to have Python installed on your machine to participate.
Prerequisites: Introductory Knowledge of Python

Outline

  • Week1: Introduction to spatial data and mapping in Python
    • Introduction to the GEMS platform and Jupyter Notebook
    • Describe why spatial?
    • Importing point, polygon & raster data
    • Creating basic maps
    • Layering features in maps
  • Week 2: Basic geocomputation with vector data in Python
    • Introduction to vector data
    • Attribute data operations
    • Spatial data operations
    • Geometry operations
  • Week 3: Basic geocomputation with raster data in Python
    • Raster data in Python
    • Raster manipulation
    • Spatial operations
    • Geometry operations
    • Raster-Vector interactions
Loading...
Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry so that we may promptly notify you when enrollment opens.
Required fields are indicated by .