In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full ...

One important aspect of behavioural studies is quantifying how animals move. Recently developed tools such as DeepLabCut and SLEAP, have made it easier for researchers to track how animals move. These ...

When working with Google Earth Engine (GEE), developers have two primary environments to choose from: the Code Editor (JavaScript) and the Python environment. Both have distinct strengths and ...

The National Snow and Ice Data Center (NSIDC) has released Version 6 of the NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration data set and Version 4 of the Near-Real-Time ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...

I'm an ecologist and geospatial professional currently working at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC); part of NASA's Earth Observing System Data and ...

xarray (pronounced "ex-array", formerly known as xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray ...

Climate forecasts, both experimental and operational, are often made by calibrating Global Climate Model (GCM) outputs with observed climate variables using statistical and machine learning models.

Physical access to health facilities is an important factor in determining treatment seeking behaviour and has implications for targets within the Sustainable Development Goals, including the right to ...