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barlayer

v0.0.1-beta.2

Published

Custom DeckGL layer of Washington Post visualization of bars.

Downloads

2

Readme

BarLayer

This is a custom DeckGL layer of using bars to represent values using: colour, scale, thickness and rotation angle. These are defined and used in the underlying GL (Graphics Library) via the following methods:

  • getColor, an array of four RGBA values with default [0, 0, 0, 255]
  • getScale, an integer/float with default 1
  • getWidth, an integer/float with default 1
  • getRotationAngle, an integera/float with default 1

For more on proportional symbol maps, you can visit Wikipedia or follow this citation: Brewer, Cynthia, and Andrew J. Campbell. "Beyond graduated circles: varied point symbols for representing quantitative data on maps." Cartographic Perspectives 29 (1998): 6-25.

How to use it

npm i barlayer or yarn add barlayer

Say you have some election data in geojson, like:

{
  ...
 "result": "Lab hold", "first_party": "Lab", "second_party": "Con", "electorate": 50750, "valid_votes": 31598, "invalid_votes": 82, "majority": 10490, "con": 6518, "lab": 17008, "ld": 1072, "geometry": { "type": "Point", "coordinates": [ -3.7047, 51.588501 ] }
  ...
}

You can define a new layer for your DeckGL view as:

    const barlayer = new BarLayer({
      id: 'bar-layer',
      data: data,
      getPosition: d => [d.geometry.coordinates[0],
      d.geometry.coordinates[1], 0],
      getColor: d => getColor(d.properties.first_party.toLowerCase()),
      getScale: d => d.properties.electorate%200,
      getRotationAngle: d => d.properties.result.includes("gain") ? 25 :0 ,
      pickable: true,
      onHover: this._hover, // find out from DeckGL docs
    })

Tests

Some basic unit tests with jest and enzyme. Run: yarn run test

Acknowledgement

This is an output from Turing Geoviuslization Engine work funded by the Alan Turing Institute and carried out at Leeds Institute for Data Analytics led by Dr Nik Lomax and Dr Roger Beecham.

I could not have made sense of the whole JS/GL work done by the DeckGL team if it was not for the help on the Slack channel by Xiaoji Chen.