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Benchmarking R and Python for spatial data processing

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Benchmarking R and Python for spatial data processing
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17
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production PlaceWageningen

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Abstract
In this workshop were compared the most popular packages for raster and vector data processing in R and Python. The differences between them were also checked, and a test was made to know which has the best performance.
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