Fast and efficient access to MODIS, VIIRS and GPM Earth Observation data with R
A list of books, events, articles, journals, courses, etc related to Environmental Data Science.
IBM Environmental Intelligence Suite
R interface to the CDC National Public Health Tracking Network API
An R package to launch shinyrems; an online application that allows a user to access, download, clean, plot and calculate simple statistics using data from the B.C. government Environmental Monitoring System database.
A tool for capuring snapshots of public data sources and archiving them on Zenodo for programmatic use.
Lectures, Data, and Exercises for Environmental Data Science at UCSB
Cold pool area and temperature data products from eastern Bering Sea, northern Bering Sea, Gulf of Alaska, and Aleutian Islands bottom trawl surveys.
Prediksi emisi karbon di Purbalingga berbasis data geospasial dari OpenStreetMap. Menggunakan Random Forest dan XGBoost untuk analisis spasial dalam studi tugas besar mata kuliah Strategi Algoritma.
The 2021 CARGO (Consumer Awareness of Real GHG Output) Hackathon (October 23-24, 2021) aims to create solutions to the problem of embedded greenhouse gas emissions created by the transportation sector, which accounts for the largest share of GHG emissions in the USA. We built a command line tool for calculating carbon emissions for domestic carg…
Environmental issues reports from Argentina
EDAM (Environmental Data Acquisition Module) is a template framework that facilitates timeseries data acquisition and integration
MariDataHarvest is a tool for scrapping and harvesting Automatic Identification System (AIS) data provided by marinecadastre then appending it with the weather and environment conditions provided by CMEMS and RDA at each geographical and UTC timestamp point.
Dataset packages for environmental data analysis using R with tidy approach
🌍 ML-powered climate impact predictor integrating NASA, World Bank & real-time APIs. Features time-series forecasting, interactive dashboards & production deployment. Portfolio project showcasing end-to-end data science pipeline.
🌳 This Jupyter Notebook trains a neural network on the Covertype dataset to predict forest cover types using TensorFlow. It includes data preprocessing, model building, training, evaluation, random sample testing, and ROC curve visualization. Achieves ~85% accuracy on multi-class classification of 7 cover types! 🚀📊
How I helped a team scale their categorization using design thinking, cross-functional collaboration, and applied research.
This project explores the relationship between CO₂ emissions, economic growth, and air pollution across different income groups. Using data storytelling, statistical analysis, and regression modeling, it uncovers key insights into how industrialization and wealth distribution contribute to environmental inequality.
The website for the modular course 'Radical Environmental Data'.
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