A K8S based solution to build and operate Geospatial Platforms
-
Updated
Jun 14, 2024 - Smarty
A K8S based solution to build and operate Geospatial Platforms
Visualization of air quality data acquired through OpenAQ
Following along with the code examples from Daniel Shiffman's "The Coding Train" series: "Working with Data and APIs in Javascript"
A bot that tells you the air quality in your area
Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.
Weather and AQI mapped based on user's location.
OpenAQ has collected 231,965,688 air quality measurements from 8,469 locations in 65 countries. Data are aggregated from 105 government level and research-grade sources.
⛔ ARCHIVED ⛔ Accesses Air Quality Data from the Open Data Platform OpenAQ
OpenAQ Dataset downloader using requests
A telegram bot that sends you air quality data of locations or addresses
a telegram bot that sends you air quality data of locations or addresses
A JS client for the OpenAQ API
Add a description, image, and links to the openaq topic page so that developers can more easily learn about it.
To associate your repository with the openaq topic, visit your repo's landing page and select "manage topics."