Blog Archives

A workflow for publishing RStudio notebooks on Blogger

April 6, 2016
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A workflow for publishing RStudio notebooks on Blogger

The past few years, I have been searching regularly for ways of formatting R code on +Blogger. Although different possibilities were available, almost always I ended up using the online Pretty R syntax highlighter by copying parts of a script...

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Variography with gstat and ggplot2

March 18, 2016
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Variography with gstat and ggplot2

Last year I wrote a short demo on variography with gstat and ggplot2 for a colleague who was planning to migrate to R. Just thought I’d share this here (with some additional stuff) as it might be useful for other people as well.First, make sure you have the necessary packages installed and loaded:require('gstat')## Loading required package: gstatrequire('sp')## Loading required package: sprequire('ggplot2')## Loading...

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Put Google Scholar citations on your personal website with R, scholar, ggplot2 and cron

May 20, 2015
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Put Google Scholar citations on your personal website with R, scholar, ggplot2 and cron

I have been looking for a solution to put my Google Scholar citations on my personal website for quite some time now. Some apps/gadgets seem to have existed to do so (e.g. citations-gadget), but none seem to be functioning today because of chan...

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RGLUEANN package available on GitHub

October 11, 2014
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RGLUEANN package available on GitHub

The RGLUEANN package is now available on GitHub at http://github.com/rogiersbart/RGLUEANN. The package provides an R implementation of the coupling between general likelihood uncertainty estimation (GLUE) and artificial neural networks (ANNs)...

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2D MODPATH particle tracking animations with R and ImageMagick

December 14, 2012
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2D MODPATH particle tracking animations with R and ImageMagick

The PMPATH particle tracking output, with a file format similar to the pathline output mode of MODPATH (see above), can be transformed easily into a GIF animation using R and ImageMagick (see below for a simple example).First of all, you...

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R and the SGeMS blockdata format

December 7, 2012
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R and the SGeMS blockdata format

The popular geostatistical software SGeMS has some options for working with non-point support (block) data through the BGeost set of algorithms by Yongshe Liu (see his PhD thesis), and published in Liu and Journel (2009). A specific but ...

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Estimation of hydraulic conductivity and its uncertainty from grain-size data using GLUE and artificial neural networks.

June 13, 2012
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Estimation of hydraulic conductivity and its uncertainty from grain-size data using GLUE and artificial neural networks.

AbstractVarious approaches exist to relate saturated hydraulic conductivity (Ks) to grain-size data. Most methods use a single grain-size parameter and hence omit the information encompassed by the entire grain-size distribution. This study compares two data-driven modelling methods—multiple linear regression and artificial neural networks—that use the entire grain-size distribution data as input for Ks prediction. Besides the predictive capacity of the methods,...

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Digitize linear and (semi-)log scale graphs with multiple point sets

June 5, 2012
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Digitize linear and (semi-)log scale graphs with multiple point sets

Working on a paper, I ran into the problem of needing data from a graph that was not mine, and for which no underlying table was published. With today's software packages, it is however not very difficult to digitize a figure yourself. I remembered rea...

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Use R! – Part 2

May 9, 2012
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Use R! – Part 2

Here is a follow-up of my first post about using R. For our yearly KU Leuven Geology PhD Seminar (08-09/05/2012), I quickly pasted this script together from several examples I had run into in the past, as well as some things that I have been doing myse...

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R and MODFLOW

January 15, 2012
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R and MODFLOW

Here are some functions for reading and writing MODFLOW files from R. I hope to update this in the future!################################################################################### read.modflow.pval ############################################...

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