Re: [R] fitting grid-based models

Hi Thomas, Thank you very much for your help. I will try to calculate some summary statistics and fit observed and simulated data using a time series (as your examples). With observed data, I would use two values (e.g. 0 and 10), because I do not have intermediate values. Thanks! Javier 2014-06-1

Re: [R] fitting grid-based models

On 17.06.2014 10:37, Javier Rodríguez Pérez wrote: Hi Thomas, Thank you very much for your help. I will try to calculate some summary statistics and fit observed and simulated data using a time series (as your examples). With observed data, I would use two values (e.g. 0 and 10), because I do not

[R] fitting grid-based models

Hello! I'm trying to generate grid-based landscape mimicking observed data. For this purpose I'm using simecol and adapting the "CA" (stochastic celular automaton) model included as example in vignette. I think this example could be nice given observed data has spatial autocorrelation. My observed

Re: [R] fitting grid-based models

Hi, I have no example at hand, but the usual way could be indeed to calculate a time series of an adequate statistic (e.g. spatial statistic) from both, the observed and the simulated data and then to apply standard model fitting. Thomas __ R-help@r-p

[R] fitting grid-based models

Hello! I'm interested to fit parameters (to data) in a grid-based (individual) model. If I understood well, simecol library has the fitOdeModel function but it is only suited to odeModels (differential equation). Alternatively, FME package has several functions able to perform this procedure but a