Julia for Geospatial part 3 – reading, displaying and writing raster data

This is part three of the Julia for Geospatial series. In part one, available here, I introduced Julia and showed you how to install it, plus how to get the packages you will need to work with raster data. In part two, available here, I directly compared the speed of Python and Julia by opening Read more about Julia for Geospatial part 3 – reading, displaying and writing raster data[…]

Julia for Geospatial part 2 – speed test

Last time, I introduced Julia and walked through some basic instructions on how to setup. If you missed it go here. Compared to my first experience of Python, installing Julia was a breeze. In this series I am exploring how suited Julia is for Geospatial programming. This is not to discourage you away from other Read more about Julia for Geospatial part 2 – speed test[…]

Julia for Geospatial Programming part 1 – setting up

The top six programming languages for Data Science, according to the first links returned to me from google are: Python R MATLAB Java Julia Scala When I searched for the top five programming languages for GIS, the top results returned this list: Python JavaScript R SQL (the most undervalued skill in Geospatial today) Java C++/C Read more about Julia for Geospatial Programming part 1 – setting up[…]