Each observation in metacatalog should contain a statement about its certainty. Unlike #11 , where an arbitrary amount of uncertainty timeseries can be added to a dataset, each one described by its own set of metadata, this uncertainty should be a core feature of metacatalog and usually be used to plot error bars.
It can be implemented as an additional column in each default data table.
But:
what about asymetric errors? Do we enforce uncertainty time series for asymetric errors like proposed in #11 , or do we implement two columns?
what about multi-dimensional data or geometry-data (like a timeseries of geometries) ? how can this be implemented here?
Each observation in metacatalog should contain a statement about its certainty. Unlike #11 , where an arbitrary amount of uncertainty timeseries can be added to a dataset, each one described by its own set of metadata, this uncertainty should be a core feature of metacatalog and usually be used to plot error bars. It can be implemented as an additional column in each default data table.
But:
Suggestions? @sihassl @MarcusStrobl ?