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encontros_e_eventos:r_models_in_the_web [2009/03/18 18:38] – inpeifgiencontros_e_eventos:r_models_in_the_web [2009/03/19 18:44] (atual) – inpeifgi
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 One assumption of sharing models is that we are able to create models using in this case R and afterwards are able to publish them. In this master thesis, the student will investigate how an executable R model can be deployed as Web Processing Services (together with  One assumption of sharing models is that we are able to create models using in this case R and afterwards are able to publish them. In this master thesis, the student will investigate how an executable R model can be deployed as Web Processing Services (together with 
 all relevant input data and input constraints). The context we are looking at are where data are spatial and/or spatio-temporal and/or temporal, being served over OGC web services (SOS/WFS/WCS,...) and that there is an interest in re-executing the R model e.g. for a new geographical location or region, or for a new moment in time or over a new period of time. A challenge is to find a generic way to map input data specified as OGC web service requests to their respective R data structures, and to pass the R model output to the WPS process. all relevant input data and input constraints). The context we are looking at are where data are spatial and/or spatio-temporal and/or temporal, being served over OGC web services (SOS/WFS/WCS,...) and that there is an interest in re-executing the R model e.g. for a new geographical location or region, or for a new moment in time or over a new period of time. A challenge is to find a generic way to map input data specified as OGC web service requests to their respective R data structures, and to pass the R model output to the WPS process.
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 +  * Supervisor: Edzer Pebesma
 +  * Contact Person (IFGI): ?
 +  * Contact Person (INPE): ?
  
 (added by pat; extended by edzer) (added by pat; extended by edzer)
encontros_e_eventos/r_models_in_the_web.1237401528.txt.gz · Última modificação: 2009/03/18 18:38 por inpeifgi