gridmap-layout-thailand

Positions of tiles for Thailand grid map visualization. See demo

Install

npm install gridmap-layout-thailand --save

or

bower install gridmap-layout-thailand --save

The data files can be found in the dist directory of the installed package. Either one of these files below can be used:

• dist/gridmap-layout-thailand.json
• dist/gridmap-layout-thailand.csv
• dist/gridmap-layout-thailand.js
• dist/gridmap-layout-thailand.min.js

The data in each file is an array of tiles (provinces). Each tile is in this format:

[
  {
    "x": 2, // column index
    "y": 0, // row index
    "enName": "ChiangRai",
    "enAbbr": "CRI",
    "thName": "เชียงราย",
    "thAbbr": "ชร"
  },
  ...
]

Example Usage

One way to use this is to use with D3.js. See a live example on bl.ocks.org.

d3.json('path/to/gridmap-layout-thailand/dist/gridmap-layout-thailand.json', function(error, gridmapLayoutThailand){
  var options = {
    rectWidth: 25,
    rectHeight: 25
  };

  // Define color scale
  var color = d3.scale.quantize()
    .domain([1, 20])
    .range(['#b2ddf0', '#92bcd8', '#769cbf', '#5d7da7', '#46608f', '#334577', '#232d5f']);

  var svg = d3.select('svg')
    .attr('width', 250)
    .attr('height', 450);

  var sEnter = svg.append('g')
    .selectAll('g')
      .data(gridmapLayoutThailand)
    .enter().append('g')
      .attr('transform', function(d){return 'translate('+(d.x*options.rectWidth)+','+(d.y*options.rectHeight)+')';});

  sEnter.append('rect')
    .attr('width', options.rectWidth)
    .attr('height', options.rectHeight)
    .attr('vector-effect', 'non-scaling-stroke')
    .style('opacity', 0.5)
    .style('stroke', '#aaa')
    .style('fill', function(d){return color(d.enName.length);});

  sEnter.append('text')
    .attr('x', options.rectWidth/2)
    .attr('y', options.rectHeight/2 + 2)
    .style('text-anchor', 'middle')
    .text(function(d){return d.thAbbr;});
});

Development

Read about the process from this blog post.

First, generate an output from the force-directed + snap-to-grid approach. The output is available at src/output/step3.csv and can be opened in Excel or Google Sheets to curate manually.

npm run precurate

After editing src/output/step3.csv and save as src/output/step3_curated.csv, run this command to produce the final output and copy files to examples and dist directories.

npm run postcurate

Copyright (c) 2016 Krist Wongsuphasawat. Licensed under the MIT License