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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
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Enroll Now - Select a section to enroll in
Section Title
Explicitly Accounting for Location in Agriculture: Introduction to spatial data analysis in Python
Type
--
Days
M
Time
10:00AM to 12:30PM
Dates
Feb 05, 2024 to Feb 19, 2024
Campus
Online (US Central Time)
Schedule and Location
View Details
Contact Hours
7.5
Location
  • Online (US Central Time)
Delivery Options
Instructor Led Online  
Course Fee(s)
Course Fee $525.00
UMN Affiliated $0.00
Potential Discount(s)
Instructors
Section Details

Special Information about this Course:

  • Cancellations are subject to a $25.00 processing fee. 

Contact Information:

  • For questions regarding course registration, please email Kris Junker at junk0011@umn.edu or call 612-624-7253
  • For questions regarding course materials and contact, please email Jeff Thompson at jathomps@umn.edu
  • To request a scholarship for this course, please fill out this application form. Scholarship applications will be considered by a committee on a rolling basis.
  • For questions regarding system access, log-in, username, or password, please email help@umn.edu or call 612-301-4357
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