rasterized-interpolation v1.0.5

rasterized-interpolation

generate route paths using WGS84 grid data and the xy velocity components of points.

Usage

:earth_asia: data

GridData

header

example

  const gridData = {
      header: {

          // scope
          east: 110,
          west: 120,
          south: 70,
          north: 80,

          // direction accuracy 
          dx: 1,
          dy: 1,

          // number of grids
          nx: 10,
          ny: 10
    },
    
      // sort from east to west and from north to south
      xu: [-0.24, -0.25, -0.26, -0.24, -0.24, -0.25, -0.26, -0.24, -0.24, -0.25],
      yu: [-0.24, -0.25, -0.26, -0.24, -0.24, -0.25, -0.26, -0.24, -0.24, -0.25]
  }

Synchronous

synchronous interpolation prediction data. It is recommended to use asynchronous data loading if your data volume is too large.

example

  import { InterpolationRandom, InterpolationAll } from './worker/rasterized-interpolation.js';
  const data: GardData = {...};

  // generate random paths
  InterpolationRandom({ data, randomTotal: 10000 });

  // generate all paths
  InterpolationAll({ data })

Asynchronous

if you need to use a worker to process a large amount of data.

worker configuration

you need to configure the project worker to load the script. If you don't want to configure it, you can use synchronous loading method.

  copyPlugins({
      from: path.join('node_modules/rasterized-interpolation/core/', 'rasterized-interpolation-worker.js'),
      to: 'rootPath'
  })

example

  import { createWorker } from 'rasterized-interpolation';

  const myWorker = createWorker();

  const data: GardData = {...};

  myWorker.send(data)

  // Get your interpolation prediction data
  myWorker.onmessage = function(e) {
    ...
  }