Stefan Pauliuk

HI @monk840 , this parameter codes a new interpolation feature that we added last year. In oder to call the data parser withouth interplotion, please call the ReadParameterXLSX() function with...

Hi @TUBSAiPTL, my reply is quite late, but there are just too many things to handle. From the code you supply I cannot understand the aspect/index structure of all variables,...

Sure, we can design a version 2 format. Note that the left part of the cover sheet is just a 1:1 copy of the dataset table entry. Here we don't...

When creating a custom classification directly from the data template, we have now: classification_Name = aspect_datasetName, e.g. commodity__1_F_steel_SankeyFlows_2008_Global Please change the parser to do the following: + for description: from...

Please replace [aspect] by the actual aspect (aspect.aspect for aspect.id = datasets.aspectx). E.g. "origin_region aspect of dataset" "age-cohort aspect of dataset"

looks good! Is there a way to distinguish between the requirements for ODYM only and those for the Jupyther notebooks?

The alternative is that users are responsible for installing Jupyther, e.g., via the Anaconda distribution. Main model scripts will likely be pure Python with lots and lots of heavy code...

Two effects overlap here: First: In a discrete case the inflow happens instantaneously for each time interval, and the question is whether one allocates the outflow during the first year...

Thanks a lot for checking the different stats methods so carefully! I started revising the dynamic stock methods according to your suggestions. A first version is running on the master...

In addition, the methods were now changed to allow for a non-zere outflow from an age-cohort in year 0 already. In practice, that means that the methods can handle situations...