Agromet project

• agrometAPI R package to play with the Agromet API

• agrometInternship Repository containing the reports from or interns. These reports are written with thesisdown package. A report = a specific branch

• mlr My ongoing contribution to the machine learning mlr R package. This contributions aims to integrate the famous geostatistical modelling gstat package into mlr.

• defHydWal A simple shiny app coded as a package to explore the water deficit in Wallonia. This was integrated to a shiny server as explained in my post

• Public Agromet code
  Working tested code related to the Agromet project and sufficiently documented.

• AgrometeoR Docker
  Dockerfile for AgrometeoR development environment using Docker based on rocker R studio container

• geoTools An R package aimed to prepare geospatial data that is required for our weather spatialization (DEM, Corine Land Cover, admin borders, etc…)

• AgrometeoR Spatial Benchmarking Benchmark of various machine learning regression methods

• AWS Humain Comparison Comparing measurements from 2 types of automatic weather stations

• Spatialization Review and Benchmarking A review of weather spatialization methods

• Spatialization methodology Presentation about Agromet Spatialization methodo

Other projects

• my personal blog
  Where I post my tutorials related to openGIS, data-analysis and Linux stuffs

• R utilities Global R utility functions

• R project initializer Create a tree + .gitignore + git init + LICENSE + REDAME.md for your new R project with a single bash command

• CRA-W revealjs template
  CSS template for authoring revealjs presentations with the CRA-W graphic chart.

Useful books

• Geocomputation with R
  Publicly available and with an excellent chapter about spatial cross-validation.

• Efficient R Programming Worth reading to improve your R skills and workflows for a better productivity

• Happy git with R Work efficiently with R + git combo

• An Intro to R The basics !

Data-analasys packages

• mlr with R
  “umbrella” package for machine learning (Machine learning, more specifically the field of predictive modeling is primarily concerned with minimizing the error of a model or making the most accurate predictions possible, at the expense of explainability)

• mlr benchmark vis Benchmark Visualizations in R