Dr. Chubaty is an ecologist, simulation modeller, and co-developer of the open source SpaDES
simulation platform.
He completed his PhD at Simon Fraser University modelling host selection in mountain pine beetle (MPB), and postdoctoral research at Université Laval and Natural Resources Canada developing forecasting models of MPB spread.
He currently operates FOR-CAST Research & Analytics in Calgary, Canada, which supports the development and integration of models simulating forest vegetation dynamics, wildfire, insect disturbance, and wildlife populations to inform decision making for land management and species at risk. He is an advocate for open source, open data, and reproducible workflows.
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.
SpaDES
: Spatial Discrete Event SimulationA 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 SpaDES
platform.
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;
Websitegrainscape
: Efficient modelling of landscape connectivity, habitat, and protected area networks.
CRAN;
GitHub;
WebsiteLandR
: Landscape Ecosystem Modelling in R.
GitHub;
WebsiteLandWebUtils
: Additional utilities for LandWeb analyses.
GitHub;
Websitemap
: Defines a meta class of geographical objects, the ‘map’ class, and associated tools.
GitHub;
WebsiteNetLogoR
: A Port of ‘NetLogo’ Functions and Language to R.
CRAN;
GitHub;
Websitepemisc
: Miscellaneous utilities developed by the Predictive Ecology Lab Group.
GitHub;
WebsitequickPlot
: Develop and run spatially explicit discrete event simulation models.
CRAN;
GitHub;
Websitereproducible
: Develop and run spatially explicit discrete event simulation models.
CRAN;
GitHub;
WebsiteSpaDES
: Develop and run spatially explicit discrete event simulation models.
CRAN;
GitHub;
WebsiteSpaDES.addins
: Tools and RStudio addins for ‘SpaDES’ and ‘SpaDES’ module development.
CRAN;
GitHub;
WebsiteSpaDES.core
: Core functionality for Spatial Discrete Event Simulation (SpaDES).
CRAN;
GitHub;
WebsiteSpaDES.experiment
: Simulation experiments within the SpaDES
ecosystem.
GitHub;
WebsiteSpaDES.shiny
: Utilities for building shiny
-based apps for SpaDES
simulations.
GitHub;
WebsiteSpaDES.tools
: Additional modelling tools for Spatial Discrete Event Simulation (SpaDES) module development.
CRAN;
GitHub;
Website