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Different parallelization strategies yield in different performance results regarding RAM usage and speed. It would be desirable that users get a good initial understanding which strategy to use and what performance to expect for e.g. processing all protected areas on a country scale (think of e.g. Brazil).
For this we would need repex scripts that processes an open data set (e.g. Brazilian PAs from WDPA). The scripts would need to report on RAM usage and total processing time. The reportings could be e.g. interactve graphics.
The reprex could be an Rmd file that we render as html...
The text was updated successfully, but these errors were encountered:
Background:
Different parallelization strategies yield in different performance results regarding RAM usage and speed. It would be desirable that users get a good initial understanding which strategy to use and what performance to expect for e.g. processing all protected areas on a country scale (think of e.g. Brazil).
For this we would need
repex
scripts that processes an open data set (e.g. Brazilian PAs from WDPA). The scripts would need to report on RAM usage and total processing time. The reportings could be e.g. interactve graphics.The reprex could be an Rmd file that we render as html...
The text was updated successfully, but these errors were encountered: