Teaching_files/Course Outline - 1 Pagerx

rumblecleverΤεχνίτη Νοημοσύνη και Ρομποτική

1 Δεκ 2013 (πριν από 3 χρόνια και 7 μήνες)

93 εμφανίσεις

Course Outline

Day 1:
Introduction to R

Day 2:
Introduce species distribution modeling using Generalized Linear
Models (GLMs) and Generalized Additive Models (GAMs)

Day 3:
Introduce concepts behind Bayesian modeling

Day 4
: Provide experience with more
Bayesian models

Day 5:
Develop basic skills for hierarchical Bayesian models

Day 6:
Build hierarchical Bayesian models

Day 7:

Use Maxent to model species distributions

Day 8:

Develop in
depth understanding of Maxent

Day 9:

Discuss rule
based mechanistic Ce
llular Automaton models