<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Simon Waldman on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/simon-waldman/</link><description>Recent content in Simon Waldman on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 18 Nov 2024 23:02:38 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/author/simon-waldman/index.xml" rel="self" type="application/rss+xml"/><item><title>My Favorite Tool - QGIS</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/01/waldman-fave/</link><pubDate>Tue, 02 Jan 2018 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/01/waldman-fave/</guid><description>&lt;p>&lt;b>This post originally appeared on the &lt;a href="https://software-carpentry.org/">Software Carpentry website.&lt;/a>&lt;/b>&lt;/p>
&lt;p>&lt;a href="https://www.qgis.org/en/site/">QGIS&lt;/a> (formerly Quantum GIS) is an open source &lt;a href="https://en.wikipedia.org/wiki/Geographic_information_system">Geographic Information System&lt;/a>.&lt;/p>
&lt;p>QGIS is capable of advanced analysis and cartography, but I don&amp;rsquo;t use it for that.&lt;/p>
&lt;p>In my research in hydrodynamic modelling, I deal with a lot of spatial data - coastlines, bathymetry, and the like -
and this will eventually be processed and plotted using R, MATLAB or Python.&lt;/p>
&lt;p>But if I&amp;rsquo;ve received a file and simply want to take a quick look at it, or if I want to
quickly compare two files that use different coordinate systems and see if things line up, most of the time I can
throw the file at QGIS and it will show it to me with a few clicks. This approach lacks the
reproducibility of a coded solution, but it&amp;rsquo;s an awful lot quicker for a throwaway visualisation.&lt;/p></description></item></channel></rss>