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JuliaGeo: A Fresh Approach to Geospatial Computing

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No logo availableFOSS4G
Logo of Open Source Geospatial Foundation (OSGeo)Open Source Geospatial Foundation (OSGeo)
 Pronk, Maarten Visser, Martijn

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JuliaGeo: A Fresh Approach to Geospatial Computing
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295
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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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2018 saw the release of [Julia](https://julialang.org/) 1.0, a high-level, high-productivity programming language, with the performance of a low-level language like C. That means looping over all features or cells and applying your own functions is encouraged. The [JuliaGeo](http://juliageo.org/) organization was first started in 2015 to provide support for working with geospatial data in the Julia programming language. JuliaGeo currently provides high-level APIs with comprehensive support for OSGeo libraries like GDAL, GEOS and PROJ. In this talk, we introduce Julia and the JuliaGeo packages, showcase interactive workflows, and talk about next steps.
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