New answers tagged generalisation
Also consider using an algorithm other than the snakes algorithm under v.generalize or try and adjust the parameters to improve the tradeoff between efficiency and smoothness. It is the most computationally expensive smoothing algorithms in GRASS. I would recommend making a smaller test subdataset, and try a range of parameters for several different ...
Consider to try GRASS GIS 7 for that which comes with a more efficient memory management for vector data. I have generalized the Austrian OpenStreetMap roads in one step, a reasonably big dataset, no problem on a normal desktop.
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