Statistics for ecologists: https://statistics4ecologists-v2.netlify.app
Active Statistics: https://avehtari.github.io/ActiveStatistics/
Statistics for ecologists: https://statistics4ecologists-v2.netlify.app
Active Statistics: https://avehtari.github.io/ActiveStatistics/
So I needed to remember how to do it. Thie post “Building an animation step-by-step with gganimate” is pretty helpful:
https://www.alexcookson.com/post/2020-10-18-building-an-animation-step-by-step-with-gganimate/
Video series by Gábor Mészáros on genomic data analysis.
By Bruce Weir and Jerome Goudet. I added it to the Internet Archive as well. https://www2.unil.ch/popgen/teaching/SISG23/
Looking for alternatives to the lidR R package, for research purposes, plus some resources to start working on it.
New collection of Jupyter Notebooks enables programmatic access to cloud-hosted USGS 3D Elevation Program (3DEP) lidar data https://opentopography.org/blog/new-collection-jupyter-notebooks-enables-programmatic-access-cloud-hosted-usgs-3d-elevation
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets https://www.mdpi.com/2072-4292/12/4/719 uses Spark
A guide covering LiDAR including the applications, libraries and tools that will make you better and more efficient with LiDAR development. https://github.com/mikeroyal/LiDAR-Guide
Learning from LiDAR Data with Deep Learning https://www.strong.io/blog/deep-learning-for-lidar-data
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes https://doi.org/10.1016/j.compag.2020.105815
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