Blog Archives

{attachment} is on CRAN !

May 7, 2019
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{attachment} is on CRAN !

We are pleased to announce that our package {attachment} is now available on CRAN. The goal of attachment is to help to deal with package dependencies during package development. It also gives useful tools to install or list missing packages used inside Rscripts or Rmds. Deal with dependencies during package development If you ever had the following error when...

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Interact with PostGIS from R

April 28, 2019
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Interact with PostGIS from R

PostGIS extends capabilities of PostgreSQL database to deal with spatial data. Using PostGIS, your database supports geographic queries to be run directly in SQL. In this blog post, we will connect and interact with a PostGIS database from R, using {DBI} and {sf}. Package {sf} and PostGIS are friends Package {sf} is similar to PostGIS database in multiple ways:...

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SatRday Paris: Build interactive waffle plots

March 7, 2019
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SatRday Paris: Build interactive waffle plots

Can mapping tools be diverted to other uses? Of course ! See how we play with leaflet and leafgl to quickly render a giant waffle made of millions of polygons. Spatial tools are not only for spatial data At SatRday in Paris, I presented a talk entitled “Everything but maps with spatial tools”. The aim is to show that...

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Installation of R 3.5 on Ubuntu 18.04 LTS and tips for spatial packages

August 10, 2018
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Installation of R 3.5 on Ubuntu 18.04 LTS and tips for spatial packages

Do you plan to upgrade your server installation from Ubuntu 16.04 to Ubuntu 18.04 LTS ? It is also the best time to migrate to R 3.5 ! By the way, if you always found difficult to install R packages for geographical data on Ubuntu, this time is over. Just follow the guide… New Ubuntu version and new R...

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Installation to connect Spark and H2O in R

May 16, 2018
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In the ThinkR Task force, we love playing with H2O in R. Their algorithms for machine learning are really powerful. Combined with Apache Spark through Sparkling Water, H2O provides even more powerful data processing workflows, which you can run on your own laptop. Installing Spark and H2O so that they work together within R The H2O documentation is great,...

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