<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GIS on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/tag/gis/</link><description>Recent content in GIS 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/tag/gis/index.xml" rel="self" type="application/rss+xml"/><item><title>Fourteen and Counting - People's Favorite Tools</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/01/fave_update/</link><pubDate>Mon, 08 Jan 2018 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/01/fave_update/</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>Thank you to all the people who have sent in short posts about their favourite tools. We are up to fourteen now, and the variety
of tools is great to see. Finding out what other people use - and possibly more importantly - &lt;em>why&lt;/em> they use it, and for what, is a great
shortcut for researchers. There are a bewildering number of research tools around. Getting a tip from someone in your discipline, or from
someone who is doing a similar task to you, can really help.&lt;/p></description></item><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><item><title>Hello, Spatio-temporal Data Carpentry</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2016/03/pilot-spatial-data-swc/</link><pubDate>Mon, 28 Mar 2016 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2016/03/pilot-spatial-data-swc/</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="%7B%7Bsite.dc_url%7D%7D">Data Carpentry&lt;/a> have just announced the availability of
&lt;a href="http://neon-workwithdata.github.io/NEON-R-Spatio-Temporal-Data-and-Management-Intro/">an introductory lesson on working with geospatial data&lt;/a>
developed in conjunction with &lt;a href="http://www.neonscience.org/">NEON&lt;/a>
(the National Ecological Observatory Network).
For details,
please see &lt;a href="%7B%7Bsite.dc_url%7D%7D/blog/pilot-spatial-data/">the full announcement&lt;/a> on Data Carpentry&amp;rsquo;s blog.&lt;/p></description></item></channel></rss>