It seems that the method `iteration` in the function `ode` can be useful in my
case:
> Method "iteration" is special in that here the function func should
> return the new value of the state variables rather than the rate of
> change. This can be used for individual based models, for difference
Thank you very much for your answer. I'm not sure if I can use the function
ode.2 because it's a solver for 2-D partial differential equation problems. My
equations don't contain diffusion parameters.
Thank you for your help
Marine
De : David Winsemius
> On Jun 21, 2017, at 12:48 PM, Marine Regis wrote:
>
> Hello,
>
> I am developing an agent-based model to simulate the spread of infectious
> diseases in heterogeneous landscapes composed of habitat polygons (or clumps
> of connected cells). To simplify the model, I
Hello,
I am developing an agent-based model to simulate the spread of infectious
diseases in heterogeneous landscapes composed of habitat polygons (or clumps of
connected cells). To simplify the model, I consider a habitat grid (or raster)
containing the polygon ID of each cell. In addition, I
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