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Description

Is accounting for spatial dependency in your analyses critical to your work? This course is designed for those who want to learn spatial regression techniques and model spatial dependency explicitly. Through this course, you will learn about  spatial dependency and spatial autocorrelation, the construction of spatial weight matrices, testing for spatial association and correlation and building generalized spatial regression models. You will have the opportunity to immediately practice your new skills via hands-on exercises focused on agri-food applications throughout the 2.5-hour workshop.

This workshop is part of a series on working with and analyzing spatial agricultural data in R. 

Prerequisites: GEMSx003.00 GEMSx003.01 or equivalent

Outline

  • Modifiable areal unit problem
  • Compute spatial autocorrelation
  • Account for spatial lags in regressions
  • Application: Agricultural input usage
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Enroll Now - Select a section to enroll in
Section Title
Explicitly Accounting for Location in Agriculture: Spatial regression in R
Type
Online, instructor led
Days
Th
Time
10:00AM to 12:30PM
Dates
Nov 16, 2023
Campus
Online (US Central Time)
Schedule and Location
Contact Hours
2.5
Location
  • Online (US Central Time)
Delivery Options
Instructor Led Online  
Course Fee(s)
Course Fee $175.00
UMN Affiliated $0.00
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 Ali Joglekar at joglekar@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
Section Title
Explicitly Accounting for Location in Agriculture: Spatial regression in R
Type
Online, instructor led
Days
F
Time
10:00AM to 12:30PM
Dates
Mar 15, 2024
Campus
Online (US Central Time)
Schedule and Location
Contact Hours
2.5
Location
  • Online (US Central Time)
Delivery Options
Instructor Led Online  
Course Fee(s)
Course Fee $175.00
UMN Affiliated $0.00
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 Ali Joglekar at joglekar@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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