PopdynΒΆ
Population Dynamics Modelling toolset
Popdyn allows multiple populations of species to reproduce, age, die, move, and interact with one another. This library strives to be pythonic, and easily abstracted through simple syntax to enable users to focus on their own science. Models use initial populations and parameter sets to interpolate or predict populations at other times and locations. Popdyn models utilize and combine theory related to:
- Biological systems
- Land cover and land use
- Geographical information systems (GIS)
- Deterministic modelling
- Stochastic modelling
- Cellular automata
- Agent-based modelling
The popdyn module is comprised of four main components:
- Species (Populations) - which possess individual traits and optionally, sex (gender)/age (stage) attributes
- Parameters - which affect species through various means
- Domain - which defines a study area through spatial discretization
- Solvers - which provides modular numerical solvers to compute systems of species and parameters within a domain
A typical popdyn model workflow includes:
- Create one or more species, specifying their attributes through the provided Species (Populations) abstraction. Species are templates that are created prior to adding them to a model domain, where their population magnitude and distribution are specified independently.
- Create carrying capacity (i.e. habitat), mortality, and fecundity Parameters independently. Similar to Species (Populations), Parameters are added to the model domain with spatially-distributed data that match the spatial and temporal specifications of the model Model Domain.
- Attach population data and parameter data to a species by adding them to a Model Domain at specified time slices.
- Solve the populations of all added species in a domain by choosing any of the available Numerical Solvers, and the time duration.