Running queries integrated into the R script.
Small change on the query.
Got the time series query and input a placeholder.
The crop distribution is running ..

even though some bugfixing is requiered of course.
It generates crops ..

* a parameter is required to weight the probabilities
* the data source for the time series was added as well
Added parameters

* parameters that scale the follow up crop and soil probability
Minor changes
Merge with the core queries branch from Richard.
Running parallel version

* parallelization tested locally only
Branching for the cluster version

* added a start up script
* path to Rscript
Nuts version and a nuts id in the same query.

The result is a dataframe we want to iterate over.
Milestone?? at least a running version.

* we integrated the no-go crop sequence for crops that date several years back
	this might be a crop individual parameter.
* the parameters are fixed to have NO influence at all
* whats nexts? Writing results back to the DB.
Writing the results to a temporary table.

* that is horribly slow .. room for improvement
Merged from master
Fixing the R path
Merged from master
No need for performance measures yet.
Merged master.
The DB results have a wrong datatype.

Might be a driver issue ..
The table name for the sqlsave was wrong.