Spatial-Stochastic: Difference between revisions
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= Stochasticity and Space Project = | = Stochasticity and Space Project = | ||
==Things we Need:== | |||
* Explicit hypotheses | |||
* links to papers, | |||
* state variables | |||
* definitions of agent traits w.r.t. space variables, | |||
* forcing conditions | |||
* sample code? | |||
Looks like we can do anything on a square grid in NetLogo, and even import GIS data. | |||
==Proposed: == | |||
===State variables:=== | |||
* Limiting resource (which can also be in excess)(E.g., water) | |||
* Patch/cell/region ability to conserve resource (E.g., soil organic matter) | |||
* Patch connections (e.g., elevation -> horizontal flow) | |||
===Agent characteristics:=== | |||
* Efficiency in capturing resource | |||
* Efficiency in surviving low-resource conditions | |||
* R-k strategy | |||
* Spatial reach, for getting resource or spreading offspring | |||
* Interactions? One kind of agent more efficient in the presence of another? | |||
===Forcing conditions:=== | |||
* Input of resource, variable in space or time | |||
* Variance of input | |||
===Hypotheses:=== | |||
* Variable resource input favors different agent traits than reliable inputs with the same mean value | |||
* Agents develop spatial variability to gather sparse resources | |||
* Unreliable resources favor cooperative strategies (Demetrius, e.g.) | |||
* Hubler's hypotheses: with little noise, the system minimizes dissipation and is efficient; with much noise, the system maximizes dissipation and is robust. | |||
===Papers:=== | |||
Revision as of 21:59, 6 June 2012
Stochasticity and Space Project
Things we Need:
- Explicit hypotheses
- links to papers,
- state variables
- definitions of agent traits w.r.t. space variables,
- forcing conditions
- sample code?
Looks like we can do anything on a square grid in NetLogo, and even import GIS data.
Proposed:
State variables:
- Limiting resource (which can also be in excess)(E.g., water)
- Patch/cell/region ability to conserve resource (E.g., soil organic matter)
- Patch connections (e.g., elevation -> horizontal flow)
Agent characteristics:
- Efficiency in capturing resource
- Efficiency in surviving low-resource conditions
- R-k strategy
- Spatial reach, for getting resource or spreading offspring
- Interactions? One kind of agent more efficient in the presence of another?
Forcing conditions:
- Input of resource, variable in space or time
- Variance of input
Hypotheses:
- Variable resource input favors different agent traits than reliable inputs with the same mean value
- Agents develop spatial variability to gather sparse resources
- Unreliable resources favor cooperative strategies (Demetrius, e.g.)
- Hubler's hypotheses: with little noise, the system minimizes dissipation and is efficient; with much noise, the system maximizes dissipation and is robust.