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Using R for ecological modeling in USACE
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Table of contents
Using R for ecological modeling in USACE restoration planning
Required set-up for the course
Basic Training on R and RStudio
1
Introduction to R and RStudio
2
Data Visualization with ggplot2
3
Exploring and understanding data
4
Manipulating Tabular Data
Ecological Modeling in R
5
Conceptual Ecological Models
Habitat Models
6
Background on habitat models in USACE
7
Habitat Suitability Index models with ecorest
8
Ecorest Web App
9
Sensitivity and uncertainty analysis for habitat suitability index (HSI) models
10
Spatial Habitat Models
Linear Models for informing planning HSIs
11
Linear Models
12
Generalized Linear Models
13
Random Effects
14
Generalized Additive Models
Machine Learning
15
Random Forest
16
Boosted Regression Trees
Other Modeling Approaches
17
Population Modeling
18
Network Models and Connectivity
19
Agent-based Models
Models and decision-making
20
Decision Support
21
Annualizing benefits and costs with ecorest and EngrEcon
22
Cost-Effectiveness and Incremental Cost Analysis (CEICA) with ecorest
Models Integration
23
Model Integration
Other R applications
24
R for GIS
Environmental data sources
25
Using R for data access
26
USGS gage data using the dataRetrieval package
27
National Hydrography Dataset
25
Using R for data access
25.1
Other datasources to consider
25.2
NLCD
25.3
Precipitation data (PRISM? NOAA data?)
25.4
Temperature data (NOAA)
25.5
Other data sources commonly used in USACE?
25.6
Code for RAS output files (DSS, netCDF)
RAS post-processing code from Brian Breaker, etc., dssrip?
24
R for GIS
26
USGS gage data using the dataRetrieval package
On this page
25
Using R for data access
25.1
Other datasources to consider
25.2
NLCD
25.3
Precipitation data (PRISM? NOAA data?)
25.4
Temperature data (NOAA)
25.5
Other data sources commonly used in USACE?
25.6
Code for RAS output files (DSS, netCDF)