https://jonjup.netlify.app/post/ Recent content in Posts on Amaltheia Hugo -- gohugo.io en-us <a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank" rel="noopener">CC BY-NC 4.0</a> Thu, 07 Jul 2022 00:00:00 +0000 https://jonjup.netlify.app/post/introduction-to-sf/ Thu, 07 Jul 2022 00:00:00 +0000 https://jonjup.netlify.app/post/introduction-to-sf/ 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. https://jonjup.netlify.app/post/introduction-to-the-sf-package-german/ Fri, 24 Jun 2022 00:00:00 +0000 https://jonjup.netlify.app/post/introduction-to-the-sf-package-german/ Das aktuell wichtigste R Packet um mit räumlichen Vektor Daten zu arbeiten ist sf (Pebesma, 2018). In diesem Tutorial lernt ihr die Grundlagen von sf - alles was ihr braucht um räumliche Daten in R zu laden, zu plotten und grundlegede räumliche Operationen mit ihnen durchzuführen. Eine großartige und kostenlose Quelle um sf und weitere GIS packages zu lernen ist das Buch Geocomputation in R. https://jonjup.netlify.app/post/how-to-create-your-own-r-package-and-host-it-on-github/ Wed, 29 Sep 2021 00:00:00 +0000 https://jonjup.netlify.app/post/how-to-create-your-own-r-package-and-host-it-on-github/ Writing good R code for a larger project entails writing functions. Functions make your code cleaner, shorter and easier to read because they help you to not repeat yourself. DRY (don’t repeat yourself) is one the fundamental concepts of good coding identified by Thomas and Hunt (2019). But how should you store the R-scripts that hold the functions? Within the project? Maybe you can also use them somewhere else and at some point you will have worked in enough projects to forget which project had that one function you are looking for right now. https://jonjup.netlify.app/post/the-rastervis-package/ Wed, 29 Sep 2021 00:00:00 +0000 https://jonjup.netlify.app/post/the-rastervis-package/ 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. https://jonjup.netlify.app/post/r-package-of-the-week/ Mon, 20 Sep 2021 00:00:00 +0000 https://jonjup.netlify.app/post/r-package-of-the-week/ This week we will have a look at the corrr package. It includes some nice possibilities to visualize correlations between mutliple variables. I will provide some examples using the varechem data set from the vegan package. First, load the data and have a look at them. data(varechem) head(varechem) ## N P K Ca Mg S Al Fe Mn Zn Mo Baresoil Humdepth ## 18 19.8 42.1 139.9 519. https://jonjup.netlify.app/post/the-geodata-package/ Fri, 17 Sep 2021 00:00:00 +0000 https://jonjup.netlify.app/post/the-geodata-package/ 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. https://jonjup.netlify.app/post/the-osmdata-package/ Mon, 01 Mar 2021 00:00:00 +0000 https://jonjup.netlify.app/post/the-osmdata-package/ 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(&quot;osmdata&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. https://jonjup.netlify.app/post/the-rayshader-r-package/ Wed, 10 Feb 2021 00:00:00 +0000 https://jonjup.netlify.app/post/the-rayshader-r-package/ 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. https://jonjup.netlify.app/post/r-package-of-the-week-dataexplorer/ Tue, 09 Feb 2021 00:00:00 +0000 https://jonjup.netlify.app/post/r-package-of-the-week-dataexplorer/ install.packages(&quot;DataExplorer&quot;) library(DataExplorer) data = readRDS(&quot;collected_site_scores.RDS&quot;) This weeks package is similar to last weeks. Just like xray Seibelt (2017), DataExplorer Cui (2020) is used for exploratory data analysis. To highlight the features and capabilities of the package we will use a data set of different diatom metrics derived from a large data set of diatoms, which I unfortunately am not able to share with you. These metrics were computed with the diaThor package, which I will cover in a later post. https://jonjup.netlify.app/post/the-terra-r-package/ Wed, 27 Jan 2021 00:00:00 +0000 https://jonjup.netlify.app/post/the-terra-r-package/ 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.