3시간 후 서울의 초미세먼지 단계를 예측하는 모델을 배포합니다
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Updated
Mar 1, 2022 - Python
3시간 후 서울의 초미세먼지 단계를 예측하는 모델을 배포합니다
A python module for downloading DEQ air quality data
Implementation of Machine Learning Algorithms for prediction of Air Quality Parameters SO2, NO2, PM10
Data processing/analysis
A simple air quality live data web page with searchable zip-codes
A bot that tells you the air quality in your area
The entire research tends to unravel the complexities of open data, using spatial tools and techniques air quality as been assessed.
Script to record relevant information from different online sources for the analysis of air quality data
E2E tests for the Air Quality Bot
Django web interface to illustrate and compare 3 different PM 2.5 data sources, by day and neighborhood, in Chicago.
This component is a Home Assistant custom sensor for a TraceME N1Cx unit that can monitor CO2 level, air quality, air pressure, temperature, humidity, etc.
Scripts to post-process the data collected using the P.L.U.M.E Van research instrument
the data was taken from the website: https://www.ceip.at/the-emep-grid/gridded-emissions/pm25 .The format used was: NetCDF format: 1990 to 2020
Script to pre-process the data collected using the P.L.U.M.E Van research instrument
Servicio de difusión de indicadores ambientales (MDEI) e índices analíticos de calidad de vida (MDIDX) en una región, ciudad, provincia o comunidad de España.
AQStat is a command line Python tool for visualizing air quality data collected under the luftdaten.info project.
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