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    <title>GIS on Amaltheia</title>
    <link>https://jonjup.netlify.app/categories/gis/</link>
    <description>Recent content in GIS on Amaltheia</description>
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      <title>Introduction to sf</title>
      <link>https://jonjup.netlify.app/post/introduction-to-sf/</link>
      <pubDate>Thu, 07 Jul 2022 00:00:00 +0000</pubDate>
      
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      <description>When using R as a GIS, there is no way past the sf package(Pebesma, 2018). Theoretically you could use the quasi predecessor sp, but beyond some old packages requiring it, there really is no reason to do so.
With this script, you will learn to use sf to load spatial data in R, to perform standard data wrangling procedures on them, to make (interactive) maps, and lastly, to perform basic geospatial operations with them.</description>
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    <item>
      <title>The rasterVis package</title>
      <link>https://jonjup.netlify.app/post/the-rastervis-package/</link>
      <pubDate>Wed, 29 Sep 2021 00:00:00 +0000</pubDate>
      
      <guid>https://jonjup.netlify.app/post/the-rastervis-package/</guid>
      <description>Here, we will explore the basic functionality of the rasterVis package. As the name already suggests, the purpose of this package is to display raster data. While the common R packages to work with rasters, like raster or terra, already provide basic plotting functionality, rasterVis extends this substantially. You can find a more extensive documentation for the package here.
library(rasterVis) library(terra) First we need to load some rasters. We will use the geodata package to download a digital elevation model of Austria.</description>
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    <item>
      <title>the geodata package </title>
      <link>https://jonjup.netlify.app/post/the-geodata-package/</link>
      <pubDate>Fri, 17 Sep 2021 00:00:00 +0000</pubDate>
      
      <guid>https://jonjup.netlify.app/post/the-geodata-package/</guid>
      <description>The geodata package is written and maintained by Rob Hijmans who also wrote the raster and terra packages. The purpose of the package is to provide an easy-to-use interface to download different handy spatial data sets directly from R. In this script, I will go through most of the functions that this package provides, show you how to use them and what their outputs look like.</description>
    </item>
    
    <item>
      <title>the osmdata Package </title>
      <link>https://jonjup.netlify.app/post/the-osmdata-package/</link>
      <pubDate>Mon, 01 Mar 2021 00:00:00 +0000</pubDate>
      
      <guid>https://jonjup.netlify.app/post/the-osmdata-package/</guid>
      <description>Here I will introduce you to the osmdata package. osm is short for open street map and you can use the package to access the data from osm directly from R.
install.packages(&amp;quot;osmdata&amp;quot;) libary(osmdata) library(sf) library(dplyr) library(tmap) library(magrittr) osm uses the read-only overpass API to download data from Open Street Map and read them in the formats of sp, sf or silicate.</description>
    </item>
    
    <item>
      <title>The rayshader R package </title>
      <link>https://jonjup.netlify.app/post/the-rayshader-r-package/</link>
      <pubDate>Wed, 10 Feb 2021 00:00:00 +0000</pubDate>
      
      <guid>https://jonjup.netlify.app/post/the-rayshader-r-package/</guid>
      <description>In this entry we will go through the basics of rayshader. Rayshader is one of those packages that you see again and again when you follow people from the R-spatial community on twitter. Especially the package’s creator Tyler Morgan-Wall (see here for his website and here for his Twitter) posts videos and images of things he did with it on an almost daily basis. And he has all the reasons to do so.</description>
    </item>
    
    <item>
      <title>The terra R package</title>
      <link>https://jonjup.netlify.app/post/the-terra-r-package/</link>
      <pubDate>Wed, 27 Jan 2021 00:00:00 +0000</pubDate>
      
      <guid>https://jonjup.netlify.app/post/the-terra-r-package/</guid>
      <description>For the longest time, when you wanted to manipulate raster files in R, the raster package was your tool of choice. And it still is a well-proven and tested alternative to the newer packages, one of which we will discuss today: terra.
Basic idea terra implements two new object classes: SpatRaster and SpatVector. It is written and maintained by Robert Hijmans who also did so for the raster package.</description>
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