WBI_forecasts

Getting started

Getting the code

All modules are written in R and all model code was developed collaboratively using GitHub (https://github.com), with each module contained in its own git repository (see below). Code that is shared among modules was bundled into R packages, and hosted in open git repositories. All package code is automatically and regularly tested using cross-platform continuous integration frameworks to ensure the code is reliable and free of errors.

git clone --recurse-submodules -j8 https://github.com/PredictiveEcology/WBI_forecasts

NOTE: you will need access to each of the following repositories:

Modules

study area

• PredictiveEcology/WBI_dataPrep_studyArea

climate data

• PredictiveEcology/canClimateData

LandR Biomass

• PredictiveEcology/Biomass_borealDataPrep
• PredictiveEcology/Biomass_core
• PredictiveEcology/Biomass_regeneration
• PredictiveEcology/Biomass_speciesData
• PredictiveEcology/Biomass_speciesFactorial
• PredictiveEcology/Biomass_speciesParameters
• PredictiveEcology/Biomass_yieldTables
• ianmseddy/gmcsDataPrep

fireSense

• PredictiveEcology/fireSense
• PredictiveEcology/fireSense_EscapeFit
• PredictiveEcology/fireSense_EscapePredict
• PredictiveEcology/fireSense_IgnitionFit
• PredictiveEcology/fireSense_IgnitionPredict
• PredictiveEcology/fireSense_SpreadFit
• PredictiveEcology/fireSense_SpreadPredict
• PredictiveEcology/fireSense_dataPrepFit
• PredictiveEcology/fireSense_dataPrepPredict

birds

• tati-micheletti/birdsNWT

caribou

• tati-micheletti/caribouPopGrowthModel

Prerequisites

First, verify your installation of package development tools by running:

install.packages('devtools')
devtools::has_devel()

The code is mostly self-sufficient: additional packages than those below are needed, but will be installed automatically. See 01-packages.R to see which additional packages will be used.