visualize data collected by luftdaten.info, combined with official measurement points. Grouped by month and grouped sensors. Here we make comparable the sensors (official- and project) of sensors in Hannover (h), Braunschweig (bs), and Lehrte (l).
- luftdaten.info: project, found in Stuttgart
- bash, curl: loop through sensors to download
- gnuplot: create images with timeline and sensor measurement-results
- composite (imagemagick): combine multiple images by sensor and legend
- latex: create browseable pdf with informations about the project
multiple sensors with separate colors for temperature, humidity, pm10, pm2.5
configure and run script:
run.bsh
- in head we list sensors we want to group (show together by month).
- for each sensor and date we download the file from archive.luftdaten.info, e.g. ‘.raw/2017-09-01_dht22_sensor_5394.csv’
- we merge all files of a sensor to one file by sensor, e.g. ‘.rawBySensor/5394.csv’
- for each month and sensor (combining pm10, pm2.5, temperature, humidity), calling ‘createPlotfile.bsh’ helps create a templatefile for gnuplot, e.g. ‘plot/2017-09-5394.plot’
- for each month and sensor (combining pm10, pm2.5, temperature, humidity), calling gnuplot we create a picture, e.g. ‘png/2017-09-5394.png’
- we combine each picture in sensorgroups and month together, e.g. ‘png/2017-09-l.png’
- after (optional) manuel tuning of pictures, e.g. set highlights by weekend
- latex/beamer.tex (manually startet) combines pictures to a pdf
- umwelt.niedersachsen.de: download measurement-results from official measuring points (german: GAA, Gewerbeaufsichtsamt)
- archive.luftdaten.info: download measurement-result from project measuring point