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FANR7630
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Cristian R. Montes
Assignment schedule
Course Objectives
Course Policies
Grading
Graduate project schedule
Lecture schedule -- Spring 2019
1. Introduction to computing using R
1.1. Installing and running R
1.2. Basics of R
1.3. More advanced concepts
1.4. Functions and libraries in R
1.5. Displaying data in R
1.6. Saving your results
1.7. Assignment
2. Using R to manage Data
Exercises 2
3. Standard statistical tests using R
3.1. Statistical distribution functions in R
3.2. Analysis of frequency data
3.3. One and 2-samples t-tests, ANOVA
3.4. Linear models
3.5. Assignment
4. Managing Natural Resource Data and Advanced R programming
Exercise
R programming
5. Applying programming to Natural Resource Management (1)
5.1. Population growth models
5.2. Applications
5.3. Assignment
6. Applying programming to natural resource management(2)
7. Fitting models to data -- general approaches
7.1. Least squares
Models
7.2. Normal regression
7.3. Generalized linear models
7.4. Nonlinear least squares
Assignment
8. Advanced methods for fitting models
9. Using models to guide natural resource decision making
_10-Application of decision models-1
_11. Spatial decision Making in Natural Resources
_12. Application of decision making models-2
_13 Big-data analysis and application programing
_14- Shiny app for parakeet control
Software and References
Solutions to exercises
1. Introduction to computing
2. Using R to manage data
3- Standard statistical tests
4. Advanced R Programming
5. Applying programming to natural resource management- 1
Solution
6. Applying Programming to Natural Resource Management -2
7. Fitting models
8-Advanced model fitting
9-Introduction to optimization
_10. Optimization Forestry
_11 Using R for spatial interpolation and as a GIS
_12. Dynamic and stochastic optimization
FANR7630
7.2. Normal regression
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