Masthead

Schedule

Below is the schedule for GSP 470/570. We'll also be using content from the R For Spatial Stats web site.

Check out this web site with dynamic stats tools

Data sets:

New resources:

1. Introduction to Geospatial Modeling

2. Synthetic Data

3. Nature of Spatial Data

4. Generalized Linear Methods

5. Generalized Additive Methods

6. Regression Trees

7. Estimating Uncertainty

8. Spring Break

9. Habitat Suitability Modeling

10. Habitat Suitability Modeling With MaxEnt

11. Agent-Based Spatially Explicit Models

12. Mixed Models

13. Other Topics

14. Going Global

15. Finals Week (May 13)

Final Exam: Thursday, May 16th, 8:00am to 9:50am to present projects.

Final Projects Due by midnight on Thursday at the latest! (May 10)

Additional Resources

Converting Data Types

Applied Spatial Statistics In R

R Labs for Vegetation Ecologists from MSU

Regression Modeling Steps (incomplete)

RStoolbox: Tools for Remote Sensing Data Analysis

Additional Potential Topics

Old Learning Module: Obtaining and Managing Data

Reading: Graduate Student’s Guide to Necessary Skills for Nonacademic Conservation Careers

Old Lab: Synthetic Data and Polynomial Trend Surfaces with Excel and ArcMap

© Copyright 2018 HSU - All rights reserved.