PredictiveEcology/fireSense_IgnitionFit

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Created almost 6 years ago
Updated 5 months ago

PredictiveEcology/fireSense_IgnitionFit

PredictiveEcology

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Repository of fireSense_IgnitionFit, a SpaDES module

SpaDES

R package for developing and running Spatial Discrete Event Simulation models

reproducible

A set of tools for R that enhance reproducibility beyond package management

NetLogoR

A translation of NetLogo functions, dictionary, and framework for R. Intended to be used with a discrete event simulator, like SpaDES

Require

Simple R package to install and load packages conducive to a reproducible workflow

LandR

Landscape Ecosystem Modelling in R

SpaDES-modules

A collection of available modules for use with the 'SpaDES' R package.

SpaDES.core

Core functionality for Spatial Discrete Event Simulation (SpaDES)

fpCompare

Reliable comparison of floating point numbers in R

quickPlot

A system of plotting that uses grid optimized for speed and modularity

SpaDES.Workshops

Workshops given for various audiences with the SpaDES package

lazyR

An R package for stashing objects in lazy load databases, analogous to lazy loaded packages

SpaDES.shiny

Utilities for building 'shiny' apps for 'SpaDES' simulations

SpaDES.tools

Additional modelling tools for Spatial Discrete Event Simulation (SpaDES) module development

WesternBorealInitiative

LandWeb

Shared repository for Landweb modules

fireSense

climate-sensitive simulation model of fire ignition, escape, and spread

SpaDES.project

Project Templates Using 'SpaDES'

libcbmr

R interface to the carbon budget model library based on CBM-CFS3

fireSense_SpreadPredict

SpaDES module to predict fire spread probabilities

workshops

Notes and exercises for various ecological modelling and R workshops

PERFICT

A repository that focuses on implementation of the ideas in McIntire et al 2022 Ecology Letters

Biomass_speciesData

Biomass_core

Core vegetation dynamics module for LandR. based on LANDIS-II Biomass Succession Extension v3.2.1

BiomeBGCR

Package for running Biome-BGC models in R

Biomass_validationKNN

Validation module for LandR Biomass predictions of forest succession

priorityPlaces

LandWebUtils

Additional utilities for LandWeb analyses

Biomass_borealDataPrep

Module to parameterize the Landis Biomass Succession Model in R, for the Canadian Boreal forest

map

Defines a meta class of geographical objects, the 'map' class, which is a collection of map objects (sp, raster, sf), with a number of metadata additions to enable powerful methods, e.g., for leaflet, reproducible GIS, etc.

fireSense_IgnitionPredict

Repository of fireSense_IgnitionPredict, a SpaDES module

scfm

Steve Cumming Fire Model (wildfire ignition, escape, and spread)

pedev

Development tools for predictive ecology group

fireSense_SpreadFit

Repository of fireSense_SpreadFit, a SpaDES module

Biomass_speciesParameters

Biomass_regeneration

Post-disturbance biomass regeneration module for LandR

AGBtrends

Utilities for Analyzing Trends in Above Ground Biomass

webDatabases

A set of functions for finding and downloading web datasets, with an initial focus on datasets relevant for work in Canadian Forests

fireSense_NWT

fireSense in his NWT project version

SpaDES.addins

Tools and RStudio addins for 'SpaDES' and 'SpaDES' module development

LandR_CBM

fireSense_EscapeFit

Repository of fireSense_EscapeFit, a SpaDES module

SpaDES_Intro

LandMine

A simple landscape fire simulator that is based on a fire return interval polygon input

fireSenseUtils

Utilites for working with the 'fireSense' group of 'SpaDES' modules

historicFires

Creates raster layers of historic fires, which can be used with a wildfire simulator.

pemisc

Miscellaneous utilities developed by the Predictive Ecology Lab Group

SpaDES.experiment

Simulation experiments within the SpaDES ecosystem.

SpaDES_examples

https://predictiveecology.github.io/SpaDES_examples

Biomass_fuels

SpaDES version of the LANDIS-II Dynamic Biomass Fuels Extension

fireSense_Tutorial

A tutorial that shows how to use fireSense

AGB_trends

trends analysis for aboveground biomass