Posts in Category: software

Pipes in R {magrittr}

Dear all,

back in 2014, Hadley Wickham’s dplyr tutorial at useR!2014 drew a lot of attention to the %>% (pipe) operator from the magrittr package. While the pipe operator is an essential part of the tidyverse workflow, and is thus well-known to users of packages belonging to the umbrella of

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Reading data from eHYD using R

Dear all,

during the process of streamlining my posts on extreme value analysis, I have tried to rework the import of the data sets used for my elaborations. Usually, one would definitely use custom functions to perform tasks like this data import, and I figured that this is also useful in

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QGIS 3.0 released!

The waiting is over! QGIS 3.0 is officially out.

Compared to QGIS 2.x, there are substantial changes under the hood of the popular GIS. For example QGIS now works with Python 3 and Qt 5.
One of the biggest novelties for me is the fully integrated 3D environment.

There are so

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How to Speed up QGIS (Rendering)

Hey there,

when working with very large vector or raster files then it can often take some time for the rendering process – and that’s usually annoying!
So, here are some tips for you, how to speed up your QGIS.


1. Enable multi-threaded rendering:

Modern CPUs are multi-core processors. QGIS uses by default

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Spatiotemporal tidy arrays for R


today I’d like to draw your attention to an upcoming, interesting R package for handling spatial data.

Following the successful release of the sf package, which simplifies and optimizes many aspects of handling spatial (vector) data in R by implementing simple features as native R data (alongside with many R convenience

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How to install ESA SNAP on Ubuntu Linux

Today, someone who wants to switch from Windows to Linux asked me if I could help him run ESA SNAP on Ubuntu. I thought it would be interesting for the blog, too. For those who don’t know: ESA SNAP (Sentinel Application Platform) is the common architecture for all Sentinel Toolboxes.


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