r-package

Debug your package that failed on CRAN with {rhub}

If you sent packages on CRAN, you may have encountered some fails on different operating systems configurations that you never heard about before: Solaris, debian clang, fedora gcc, … Package {rhub} allows to test your package on some of them, prior to sending to CRAN. But, how to debug directly on …

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How to debug your package on Win-Builder before sending to CRAN?

CRAN submission can be difficult as your package is checked on multiple OS and R versions that you may not be able to check yourself locally. Thankfully, some services like {rhub} and Win-Builder prevent some unfortunate CRAN errors. But how to debug code that is run on an external server, without …

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Buffer areas for nearest neighbours or national marine areas delineation

A few weeks ago, Christina Buelow asked on Twitter how she could create the polygons of coastal waters using the land polygons, and making sure there is no overlap in buffer areas. This would make it possible to know which land area is closest to any place in the sea. Let’s explore what solution …

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Find most retweeted tweets of the #rspatial bot

Bots that retweet #rspatial and #BioImageAnalysis tweets are working well. It is now time to add a little functionnality with the best retweeted tweet of the month, a function added to {tweetrbot} package. […] If you want to explore this dataset a little longer, feel free ! You can get …

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Create a twitter bot on a Raspberry Pi 3 using R

With Marion Louveaux, we decided that we had to build a Twitter bot for our preferred hashtag. We explored different possibilities but truth is I couldn’t resist building it using R and {rtweet}. Here are the steps I used to set up a Twitter bot on my Raspberry Pi. […] I use package {rtweet} …

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Spatial interpolation on Earth as a 3D sphere

Earth map is usually presented flat. Geographical coordinates usually go from -180° to +180°. Spatial interpolations using coordinates may be tricky as -180° is equal to +180°. Here I propose a way to realize spatial interpolations on Earth as a sphere and then map the outputs in 3D using rgl. The …

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SDMSelect: Cross-validation model selection and species distribution mapping

This library has originally been created for covariates selection to predict species distribution (biomass, density or presence/absence). Its final aim is thus to produce maps of predicted distributions (Look at vignette SDM_Selection). However, the core of the library is a N-times k-fold …

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