Code Repository for Environmental Insights, a python package for the accessing and analytics of ambient air pollution concentration data.
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Updated
Aug 11, 2024 - Python
Code Repository for Environmental Insights, a python package for the accessing and analytics of ambient air pollution concentration data.
Air Pollution Detection using Machine Learning
AQStat is a command line Python tool for visualizing air quality data collected under the luftdaten.info project.
Weather-Dashboard is a web-based weather forecasting application created using React.js from scratch. It provides up-to-date weather information from all over the world
Air Pollution Data Analysis: This project aimed to analyze air pollution data from various countries for the years 2018 to 2023.
This repository contains some of my coding projects in the statistics, applied math, and data science classes during my undergraduate study at Rice University.
🖥 Web application that visualizes real-time air quality metrics.
A simple UI to view air quality data from londonair.org.uk, built with Elm 0.19 and Leaflet JS
Analyze the Pollution index from 1999 to 2012 in the USA using R.
Bakalarska praca
Python Project
Web Scraping Project in Python Jupyter Notebook, aimed for extracting the current levels of PM10 in the atmosphere over 11 different provinces in the region of Lombardy in Italy, as well as storing these data in a .csv file, ready for future analysis and valuable insights.
Air Quality Data Assessment and Analysis in Mongolia
TRAPSim - Traffic Simulation in NetLogo
An Analysis of Delhi NCR Air Pollution Data Using Remote Sensing
Impact of Air Pollution on our Lives during pre and post covid19.
This is a COVID-19 Air Pollution tracking program that looks at the correlation between COVID-19 Lockdowns and the overall pollution impact in certain European cities. The program utilses graphs and other visual stats to allow visual representations of significant or minimal difference in pollution levels with as a result to the on going pandemic.
This repository contains codes (Jupyter Notebooks) to reproduce the figures and results of our submission accepted in COMPASS 2022.
Analyzing air pollution in China during the Coronavirus pandemic
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