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I am relatively new to both the python and R programming languages, having a small amount of exposure to both. Which language has the edge when working with spatial data and when would you use R over python and vice versa?

closed as too broad by SS_Rebelious, Brad Nesom, Mapperz May 26 '15 at 14:12

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

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    In a nutshell: R has the edge without any doubt, when spatial statistics are needed. For other type of spatial analysis (e.g. computational geometry), big data, or when working with a GIS software (QGIS, GRASS, ArcGIS) is essential, python might be faster, and more extensive. Let's hope for a more detailed answer from one, who is more experienced with both of the languages. Also note, IMO this question can be flagged, as mainly opinion based, so extending it with a specific problem is recommended. – Gabor Farkas May 25 '15 at 12:11
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    Why not both? Start using them both and when you feel confident you can combine them for some awesome kung-fu – nickves May 25 '15 at 12:26