marchingsquares

MarchingSquaresJS

A JavaScript implementation of the Marching Squares algorithm featuring IsoLines and IsoBand computation.

The implementation computes iso lines (iso contours) or iso bands for rectangular 2-dimensional scalar fields and returns an array of (closed) paths that enclose the respective threshold(s). To speed-up computations when multiple iso lines/iso bands are required, the implementation makes use of a Quad-Tree data structure for fast look-ups of those cells in the scalar field that actually contribute to the iso line or iso band, respectively.

Table of contents

1. Availability
2. Installation
3. Usage
4. API Description
5. Examples
6. License

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Availability

The source code of this module is available through github. This module is also available as an npm package.

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Installation

While this module only consists of ECMAScript 5 language elements, it already makes use of the ECMAScript 6 module specification. To provide maximum compatibility and allow for loading with node and web browsers, the library is bundled with rollup.js and wrapped in a Universal Module Definition (UMD) API by default.

Quick Start

npm install marchingsquares

Build from Repository:

To (re-)build the distribution bundles run rollup -c or

npm run-script build

Download Precompiled Files

Pre-compiled (minified) versions are available at the MarchingSquares.js release page.

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Usage

In most cases, you may want to load the entire library to expose all implemented algorithms at once. Alternatively, you may include only one of the isoLines or isoBands algorithms. In this case, however, you have to sacrifice the possibility to pass pre-processed data to effectively circumvent redundant Quad-Tree construction since the QuadTree constructor will be unavailable.

The library exposes the following function attributes (see also API description)

MarchingSquaresJS = {
    isoLines : function(data, threshold, options){},
    isoBands : function(data, lowerBound, bandwidth, options){},
    QuadTree : function(data){}
};

and can easily be integrated into your project (see below)

Loading with Node:

var MarchingSquaresJS = require('./marchingsquares.js');

Loading with AMD (e.g. RequireJS)

The MarchingSquaresJS module works fine with the Asynchronous Module Definition (AMD) API. This enables easy integration with module loaders such as RequireJS

var MarchingSquaresJS = require('./marchingsquares-isobands.js');

Loading with Web Browser

To use the library in a web browser you simply load the library using the <script> tag to expose a global variable MarchingSquaresJS:

<script src="marchingsquares.min.js"></script>

Loading a Single Implementation

It is possible to require only one of the implementations, isoLines or isoBands, by requiring the corresponding implementation directly, e.g.:

var MarchingSquaresJS = require('./marchingsquares-isobands.js');

or

<script src="marchingsquares-isobands.min.js"></script>

This creates the same object as before but without the isoLines function.

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API Description

Computing Iso Lines

function isoLines(data, threshold, options)

Compute iso lines and iso contours for a 2-dimensional scalar field and a (list of) thresholds.

Parameter	Description
data	2-dimensional input data, i.e. the scalar field (must be array of arrays, or pre-processed data object obtained from new QuadTree()). This parameter is mandatory.
threshold	A constant numerical value (or array of numerical values) defining the curve function for the iso line(s). This parameter is mandatory
options	An object with attributes allowing for changes in the behavior of this function (See below). This parameter is optional

Returns:

1. If threshold is a single scalar, an array of paths representing the iso lines for the given threshold and input data.
2. If threshold is an array of scalars, an additional array layer wraps the individual arrays of paths for each threshold value.

A single path is an array of coordinates where each coordinate, again, is an array with two entries [ x, y ] denoting the x and y position, respectively.

Note, that the paths resemble linear Rings by default, i.e. they are closed and have identical first and last coordinates. (see the options parameter to change the output)

Furthermore, if all values at the border of the input data are below the threshold, a rectangular frame path with coordinates [ 0, 0 ], [0, rows], [cols, rows], [cols, 0], i.e. enclosing the entire scalar field, will be added as first element of the returned array. Here, the values of rows and cols are the number of rows and columns of the input data, respectively. To disable this behavior, the user may pass the options.noFrame=true.

Computing Iso Bands

function isoBands(data, lowerBound, bandWidth, options)

Compute iso bands for a 2-dimensional scalar field, a (list of) lowerBound(s), and a (list of) bandWidth(s).

Parameter	Description
data	2-dimensional input data, i.e. the scalar field (must be array of arrays, or pre-processed data object obtained from new QuadTree()). This parameter is mandatory.
lowerBound	A constant numerical value (or array of numerical values) that define(s) the lower bound of the iso band. This parameter is mandatory.
bandWidth	A constant numerical value (or array of numerical values) that defines the width(s) the iso band, i.e. the range of values. This parameter is mandatory.
options	An object with attributes allowing for changes in the behavior of this function (See below). This parameter is optional.

Returns:

1. If lowerBound is a single scalar, an array of paths representing the iso lines which enclose the iso band of size bandWidth.
2. If lowerBound is an array of scalars, an additional array layer wraps the individual arrays of paths for each threshold-bandWidth pair. Note, that if bandWidth is a scalar it will be applied to all entries in the lowerBound array.

A single path is an array of coordinates where each coordinate, again, is an array with two entries [ x, y ] denoting the x and y position, respectively.

Note, that the paths resemble linear Rings by default, i.e. they are closed and have identical first and last coordinates. (see the options parameter to change the output)

Pre-process Data

function QuadTree(data)

Pre-compute a Quad-Tree for the scalar field data.

To speed-up consecutive calls of the isoLines and isoBands functions using the same scalar field but different threshold or band levels, users can pass pre-processed data. The pre-processing step essentially creates a Quad-Tree data structure for the scalar field, and glues it together with the scalar field. Consequently, when passing pre-processed data, the isoLines andisoBands functions do not need to create the same Quad-Tree (for the same scalar field) over and over again.

Parameter	Description
data	2-dimensional input data (scalar field). This parameter is mandatory.

Returns:

An object that glues together the scalar field data and the corresponding pre-computed Quad-Tree.

Note:

This is a constructor function! Thus, to generate an object with pre-processed data, one has to create a new QuadTree object:

var prepData = new MarchingSquaresJS.QuadTree(data);

Furthermore, when passing pre-processed data to one of the isoLines or isoBands function, they will always perform Quad-Tree look-ups to speed-up the computation, unless the options.noQuadTree flag is set.

The Options Object

The options object may have the following fields:

Property	Type	Description	Default value
options.successCallback	function	A function called at the end of each iso line / iso band computation. It will be passed the path array and the corresponding limit(s) (threshold or lowerBound, bandWidth) as first and second (third) arguments, respectively.	null
options.verbose	bool	Create console.log() info messages before each major step of the algorithm	false
options.polygons	bool	If true the function returns a list of path coordinates for individual polygons within each grid cell, if false returns a list of path coordinates representing the outline of connected polygons.	false
options.linearRing	bool	If true, the polygon paths are returned as linear rings, i.e. the first and last coordinate are identical indicating a closed path. Note, that for the IsoLines implementation a value of false reduces the output to iso lines that are not necessarily closed paths.	true
options.noQuadTree	bool	If true, Quad-Tree optimization is deactivated no matter what the input is. Otherwise, the implementations make use of Quad-Tree optimization if the input demands for multiple iso lines/bands.	false
options.noFrame	bool	If true, the iso line / iso contour algorithm omits the enclosing rectangular outer frame when all data points along the boundary of the scalar field are below the threshold. Otherwise, if necessary, the enclosing frame will be included for each threshold level as the very first returned path.	false

Deprecation Warnings

The isoContour function was renamed to isoLines with version 1.3.0 but still remains for backward compatibility reasons!

The quadTree constructor function was renamed to QuadTree with version 1.3.1 but remains for backward compatibility!

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Examples

The iso band shown below should contain all values between lowerBound and upperBound.

var lowerBound = 2;
var upperBound = 3;
var data = [
    [18, 13, 10,  9, 10, 13, 18],
    [13,  8,  5,  4,  5,  8, 13],
    [10,  5,  2,  1,  2,  5, 10],
    [ 9,  4,  1, 12,  1,  4,  9],
    [10,  5,  2,  1,  2,  5, 10],
    [13,  8,  5,  4,  5,  8, 13],
    [18, 13, 10,  9, 10, 13, 18],
    [18, 13, 10,  9, 10, 13, 18]
];

var bandWidth = upperBound - lowerBound;
var band = MarchingSquaresJS.isoBands(data, lowerBound, bandWidth);

The return value, band, is an array of closed polygons which includes all the points of the grid with values between the limiting iso lines:

[Array[21], Array[5]]
  0: Array[21]
  1: Array[5]
    0: Array[2]
      0: 2.3181818181818183
      1: 3
      length: 2
      __proto__: Array[0]
    1: Array[2]
      0: 3
      1: 2.3181818181818183
      length: 2
      __proto__: Array[0]
    2: Array[2]
    3: Array[2]
    4: Array[2]
    length: 5
    __proto__: Array[0]
  length: 2
  __proto__: Array[0]

You can find more examples in the example/ directory.

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License

MarchingSquaresJS is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

MarchingSquaresJS grants additional permissions under GNU Affero General Public License version 3 section 7. See LICENSE.md for details.

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Copyright (c) 2015-2018 Ronny Lorenz [e-mail]