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Sharing my findings

On this website, I share my explorations in software development. I started with articles mainly focused on data science, R, and cartography. What’s next? The future will tell! You will find blog articles with R scripts. I used to mainly write about maps and spatial data, and these days I am more focused on making development tools accessible to a larger audience.

Open-source projects

I listed some personal open-source projects.
You will find R packages to improve development workflows and help everyone to have access to great tools allowing to share their nice work more easily. This is driven by ‘Rmd first’ method, package development and git management tools like:

As a former researcher, I decided to share my R scripts in R packages to make them accessible. I cannot say these respect all package development standards but at least the code is available. Have a look at the following packages:

  • {SDMSelect}: 1. Covariate selection procedures on GLM and GAM. 2. Species distribution modelling.
  • {GeoDist}: 1. Calculate distances between points when there are obstacles. 2. Modifications of {geoR} functions to allow for custom distances.

I also use Hugo for this website, which made me work on my own template:

Other projects are available on my Github account.

Who am I?

I am a project manager in software development. With over 10 years of experience in Tech and Data Science, I enjoy digging into clients’ problems to offer them solutions, particularly digital ones, tailored to their needs in the field. I am committed to delivering quality outputs while bringing teams together around clear objectives. Since 2021, as a manager of a Tech team, I have been applying Lean Management principles to improve customer satisfaction, support my colleagues in their development, and create a motivating work environment. I am now looking to leverage my project management, software development, and leadership skills in an organization that combines technology with a human approach.

With R software and DevOps experience, I like to help users and their managers exploit the full potential of collaborative workflows to reduce maintenance and tedious activities (such as copying and pasting images between tools and analysis reports) and give more meaning to daily work.

I am a scientist at heart, being an agronomist engineer and holding a PhD in marine biology. However, data analysis and R have somewhat diverted me from my original goals. As a result, I continue to share my knowledge through training and open-source developments. I still do data analysis and visualization, mainly in support missions and sharing best development practices. And I love it! I regularly play with maps, but I no longer fit models. That said, I always have material to fill this blog and share my findings and other tips with you. If you are curious about what we can do with spatial tools on non-geographical data, have a look at my category “geohacking”.

Enjoy your reading!

Sébastien Rochette

3D visualisation of a meristem of Arabidopsis thaliana rendered with {rayshader}

Figure 1: 3D visualisation of a meristem of Arabidopsis thaliana rendered with {rayshader}

Jeff Leek, on simplystatistics.org

If every method in every stats journal was implemented in a corresponding R package (easy), was required to have a companion document that was a tutorial on how to use the software (easy), included a reference to how to cite the paper if you used the software (easy) and the paper/tutorial was posted to the relevant message boards for the communities of interest (easy) that journal would see a dramatic bump in its impact factor.