Top Tweets for #blockcv
đ In 2017, @ValaviRoozbeh, now a Senior Research Scientist at @CSIRO, developed a series of #R code that would become #blockCV, a #software package for assessing the accuracy of #ecological models. It was meant for his PhD work on evaluating species distribution models or #SDMs, but he decided to do more with it.
"I decided to package the code, making it accessible to the broader ecological modelling community." And recognising its use beyond ecology, Roozbeh kept updating it to make it more widely usable.
Now blockCV's been downloaded 47,000+ times, cited 350 times, and adopted by 7 other software packages. Other than in #ecology, it's been used for spatial models in #epidemiology, #RemoteSensing, #SoilMapping, #hydrology and #archaeology. In July 2023, Roozbeh was given the ARDC award for New Developers of #OpenSource Software in Ecology by @EcolSocAus for his work on blockCV.
"Building and maintaining #ResearchSoftware comes with significant responsibilities," said Roozbeh. "Receiving an award like this serves as a motivating reminder of the importance of #OpenScience and research software development."
đ Read more about Roozbeh and his work in the latest edition of our interviews with leading research software engineers (#RSEs) in Australia đ https://t.co/YRypQb0ZwP
#ResearchSoftwareAU #RSE

Excited to see my first PhD paper on blockCV package was among the most downloaded papers in Methods in Ecology and Evolution journal!
#SpeciesDistributionModel
#blockCV
#MEE
#TopDownloadedArticle
https://t.co/p3WW4tn4v7
Spatial cross-validation could be challenging e.g. it can result in imbalanced folds.
The package blockCV v.2.0 offers solutions and tools for creating spatial blocks. It supports binary and multi-class responses with balanced folds #spatial_cv #blockCV
https://t.co/f198ZVXuDJ

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