0.1.0 • Published 6 years ago

maptalks.kriginglayer v0.1.0

Weekly downloads
1
License
MIT
Repository
github
Last release
6 years ago

maptalks.KrigingLayer

CircleCI NPM Version

A maptalks Layer to draw spatial data in a way of providing spatial prediction and mapping capabilities via the ordinary kriging algorithm.

screenshot

Examples

Install

  • Install with npm: npm install maptalks.KrigingLayer.
  • Download from dist directory.
  • Use unpkg CDN: https://unpkg.com/maptalks.KrigingLayer/dist/maptalks.KrigingLayer.min.js

Usage

As a plugin, maptalks.KrigingLayer must be loaded after maptalks.js in browsers.

<link rel="stylesheet" href="https://unpkg.com/maptalks/dist/maptalks.css">
<script type="text/javascript" src="https://unpkg.com/maptalks/dist/maptalks.min.js"></script>
<script type="text/javascript" src="https://unpkg.com/maptalks.KrigingLayer/dist/maptalks.KrigingLayer.min.js"></script>
<script>
    var samples = [[109.199, 34.443, 4.278], [109.224, 34.464, 92.767], [109.271, 34.464, 45.834], [109.322, 34.447, 5.220]];
    var regions =[[109.220, 34.589], [109.161, 34.648], [109.131, 34.631], [109.156, 34.526]
    , [109.170, 34.437]];
    var colors =["#00A600", "#01A600", "#03A700", "#04A700", "#05A800", "#07A800"];
    var polygon = new maptalks.Polygon(regions);
    var krigingLayer = new maptalks.KrigingLayer('kriging', samples, {
        colors: colors,
        regions: polygon
    });
</script>

Supported Browsers

IE 9-11, Chrome, Firefox, other modern and mobile browsers.

API Reference

KrigingLayer is a subclass of maptalks.Layer and inherits all the methods of its parent.

Constructor

// samples's format
//[[x,y,value], [x,y,value] ..]
// symbol only supports lineWidth and lineColor
new maptalks.KrigingLayer(id, samples, options)
  • id String layer id
  • samples Object[] providing sample data for trainning method, [[x,y,value], [x,y,value] ..]
  • options Object options
    • alpha Number is a number that correspond to the variance parameters of the gaussian process and the prior of the variogram model, respectively.A diffuse α prior is typically used (10 by default)
    • sigma2 Number represent σ2,it's a variance parameters of the gaussian process (0 by default)
    • width Number the pixel cell's width (0.001 by default)
    • model String the kriging render method,mainly includ 'Gaussian','Exponential',and 'Spherical' (exponential by default)
    • colors Object[] the color you will render the layer
    • regions maptlaks.Polygon render polygons

getData()

get layer's data

Returns Object[]

setData(data)

set new data to the layer

  • data Object[] new predict points

Returns this

setModel(model)

set new model to the kriging render method

  • model String render method

Returns this

Contributing

We welcome any kind of contributions including issue reportings, pull requests, documentation corrections, feature requests and any other helps.

Develop

The only source file is index.js.

It is written in ES6, transpiled by babel and tested with mocha and expect.js.

Scripts

  • Install dependencies
$ npm install
  • Watch source changes and generate runnable bundle repeatedly
$ npm run dev
  • Tests
$ npm test
  • Watch source changes and run tests repeatedly
$ npm run tdd
  • Package and generate minified bundles to dist directory
$ npm run build
  • Lint
$ npm run lint