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Sensor.Community Map

visualize recent sensor data on a world map for Sensor.Community.

👉 Live Version.

Map application

The implementation makes use of various frameworks and is on ECMA 6 language level.

Used frameworks are:

  • leaflet (mapping framework)
  • d3 (visualisation framework)
  • webpack is used for deployment

How to run

Installation

Requirements:

  • Node JS 10.15.x or higher
  • NPM should be version 6.9.x or higher

install all dependencies

cp src/js/config.js.dist src/js/config.js
npm install

Develop

start development server (http://127.0.0.1:8080/)

npm start

Publish

build all files needed to run on a webserver, files will be compiled into dist/):

npm run build
npm run ghpages

Translation

The translation file can be found in src/js/translation.js.

To add a new translated word or sentence, add below the key (see below) a new key-value pair. The nested key should start with the iso-code of the language followed by the translated world. You can find the iso-code on wikipedia table (639-1).

   "(Sensor)": { // key - original english translation 
      "de": "Sensor", // nested key - value pair
      "fr": "Détecteur" // add new translation "iso-code": "translated word"
   },
    "PM10 µg/m³": {},
    "PM2.5 µg/m³": {},
    "AQI US": {},
    "Temperature °C": { // key - original english translation 
       "de": "Temperatur °C",
       "fr": "Température °C" // add new translation "iso-code": "translated word"
       },...

⚠ Don't forget to add the comma in the previous key - value pair else syntax is broken.

If you don't have a Github account download the file src/js/translation.js via the Raw button directly right over the source code. Send us your file with the translation to "tech (at) sensor.community".

URL-Parameter

Sensor

valid sensor parameters PM25, PM10, Pressure, Noise, Humidity & Official_AQI_US http://127.0.0.1:8080/?sensor=Noise

Location

valid parameters zoom level, lat and long http://127.0.0.1:8080/#9/48.8123/9.2487

combine parameters

first start with sensor then location http://127.0.0.1:8080/?sensor=Noise#9/48.8123/9.2487