Dr. Chubaty is an ecologist and simulation modeller developing landscape-level models of insect dispersal and forest disturbance.
His research broadly explores the impacts of host selection and dispersal at multiple spatial scales as well as scaling up from individual-based behavioural models to population-, community-, and even landscape-level models of insect outbreak and disturbance.
PhD in Biological Sciences, 2014
Simon Fraser University
BSc in Biological Sciences, 2005
University of Calgary
We have reimplemented and updated the
grainscape R package for landscape connectivity, habitat, and protected area network analyses.
A collection of R packages for implementing a variety of event-based models, with a focus on spatially explicit models.
We are integrating various simulation models dealing with forest vegetation dynamics, fire, insect disturbance, and wildlife populations, to inform decision making in these management areas.
LandWeb is the first large scale, data-driven approach to simulating historic natural ranges of variation (H/NRV). This model integrates two well-used models for forest stand succession and fire simulation, and is implemented using the
The continued eastward spread of mountain pine beetle (Dendroctonus ponderosae Hopk.; MPB) now threatens the boreal forests of eastern Alberta, Saskatchewan, and beyond. Predicting the outbreak and spread dynamics of this insect in jack pine, and to evaluate control measures to mitigate a potentially devastating loss of forest habitat and timber supply requires not only a complex understanding of the various inputs to this system and their interactions (e.g., MPB population dynamics, climate impacts, landscape features) but also the technical capacity to run large-scale spatial simulation models, and to update them quickly as new data are acquired and new models are developed. …
fpCompare: Reliable comparison of floating point numbers. CRAN; GitHub; Website
grainscape: Efficient modelling of landscape connectivity, habitat, and protected area networks. CRAN; GitHub; Website
LandR: Landscape Ecosystem Modelling in R. GitHub; Website
LandWebUtils: Additional utilities for LandWeb analyses. GitHub; Website
map: Defines a meta class of geographical objects, the ‘map’ class, and associated tools. GitHub; Website
NetLogoR: A Port of ‘NetLogo’ Functions and Language to R. CRAN; GitHub; Website
pemisc: Miscellaneous utilities developed by the Predictive Ecology Lab Group. GitHub; Website
quickPlot: Develop and run spatially explicit discrete event simulation models. CRAN; GitHub; Website
reproducible: Develop and run spatially explicit discrete event simulation models. CRAN; GitHub; Website
SpaDES: Develop and run spatially explicit discrete event simulation models. CRAN; GitHub; Website
SpaDES.addins: Tools and RStudio addins for ‘SpaDES’ and ‘SpaDES’ module development. CRAN; GitHub; Website
SpaDES.core: Core functionality for Spatial Discrete Event Simulation (SpaDES). CRAN; GitHub; Website
SpaDES.experiment: Simulation experiments within the
SpaDESecosystem. GitHub; Website
SpaDES.shiny: Utilities for building
shiny-based apps for
SpaDESsimulations. GitHub; Website
SpaDES.tools: Additional modelling tools for Spatial Discrete Event Simulation (SpaDES) module development. CRAN; GitHub; Website