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ensure faster-rasters.R functions are parallel-aware & create examples #5

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achubaty opened this issue Mar 15, 2017 · 2 comments
Closed
2 tasks done

ensure faster-rasters.R functions are parallel-aware & create examples #5

achubaty opened this issue Mar 15, 2017 · 2 comments

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@achubaty
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achubaty commented Mar 15, 2017 •
edited by eliotmcintire
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from @eliotmcintire

to take advantage of the parallel processing, you have to have written a beginCluster() before each ... well... once before you run them. Like all raster functions that are parallel aware, if there is an active cluster, and the function is parallel aware, it will use it.
Basically, each of them takes advantage of the fact that "extract" is parallel aware, and that both Masking and Rasterizing can each be reformulated with an extract call, if you provide a raster template.

  • create examples for usage
  • improve the documentation
@achubaty
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achubaty commented Mar 15, 2017 •
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eliotmcintire added a commit that referenced this issue Mar 15, 2017
@eliotmcintire
document fastMask & fastRasterize #5
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eliotmcintire commented Mar 15, 2017 •
edited by achubaty
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Change examples to remove SpaDES dependency (#8)

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