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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Cloud-masking Sentinel-2

Hey there!
Sentinel-2 is a relatively new satellite and cloud masking still is a big issue with this sensor. There are many ways on how to get cloud free images of Sentinel-2A (hopefully 2B soon as well). Here is an overview on possible technologies you can use, as well as

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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

Hello,

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.

There

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Simple features for R

Hey folks,

sf is an rather new R package for handling and analyzing spatial data in R. While various R packages are available that provide classes and methods for spatial data (e.g. sp, rgdal and rgeos), sf, which is developed by Edzer Pebesma and others, is intended to gradually replace

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