Using NYC Taxi Data as a Predictor of Urban Air Quality
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Updated
Sep 7, 2016 - Python
Using NYC Taxi Data as a Predictor of Urban Air Quality
Low cost air quality monitoring
☁Air pollution visualization and forecasting platform based on Flask and TensorFlow
A python library to transform data into EMFAC model input (Hong Kong).
Python wrapper for the honeywell-hpma115s0 particulate matter sensor
Python wrapper for the Novafitness SDS018 particulate matter sensor
Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.
Docker image for deployment of Apolline software stack.
Python Wrapper for the sensirion SPS030 Particulate Matter (PM) sensor
A client to access Wiseair Air Quality API
This repository inclludes a deep learning model for predicting the air pollution value for the next hour based on the pollution data of past 1 year hour by hour. The dataset contains reports on the weather and the level of pollution each hour for five years at the US embassy in Beijing, China.
Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
Detects PM2.5 levels based on daily atmospheric conditions
Dockerized application to utilize raspberry pi0w and bme680 to retrieve information about indoor air quality.
A minimal python interface for PMS7003 PM sensor
OpenAQ Dataset downloader using requests
Historical data of the Air Pollution Index in Malaysia from 2005. (With script)
Python package to get and transform PurpleAir data
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
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