@luxedo/heatmap

1.2.1 • Public • Published

heatmap

Usage

drawHeatmap({points, width, height, [...args]}) ⇒ Buffer

Returns the Buffer of a png image of the heatmap. The points argument must be an Array containing the following properties: The center of the point px, py, the intensity of the point value. The range of values that makes the gradient are from 0 to 1, but it's possible to give values outside this range. Also, additional arguments can be given to overwrite the defaults for the kernel configuration.

Example

const fs = require("fs");
const heatmap = require("@luxedo/heatmap");

const points = [
  {
    px: 10,
    py: 10,
    value: 1,
    5igma: 30,
  },
  {
    px: 120,
    py: 30,
    value: 0.6,
    sigma: 50,
  },
  {
    px: 70,
    py: 130,
    value: 0.2,
    sigma: 70,
  },
];
const width = 150;
const height = 150;
const buf = heatmap.drawHeatmap(points, width, height);
fs.writeFileSync("example1.png", buf);
example1.png

example 1

drawGeoHeatmap({geoCoords, geoPoints, (pxPerDeg || (width | height)), [...args]}) ⇒ {buf (Buffer), origin (Object), end (Object)}

Returns an object with the Buffer (buf) of a png image of the heatmap, the northwestmost and southeastmost (origin, end) coordinates {lat, lng}. Inputs are geoCoords, the boundaries of the image, an Array of coordinates {lat, lng}; and geoPoints, an Array of {lat, lng, value}, configuration is similar to deawHeatmap. One of: pxPerDeg, width, height must be provided.

const geoCoords = [
  {
    lat: 0.0,
    lng: 0.0,
  },
  {
    lat: 0.3,
    lng: 0.3,
  },
];
const geoPoints = [
  {
    lat: 0.1,
    lng: 0.1,
    value: 1,
    sigma: 40,
  },
  {
    lat: 0.1,
    lng: 0.2,
    value: 0.6,
    sigma: 40,
  },
  {
    lat: 0.15,
    lng: 0.2,
    value: 0.2,
    sigma: 100,
  },
];
const pxPerDeg = 500;
const method = "max";
const buf = heatmap.drawGeoHeatmap({ geoCoords, geoPoints, pxPerDeg, method });
fs.writeFileSync("example2.png", buf);

example2.png

example 2

Arguments

drawHeatmap:
  • points: Array of points to draw [{px, py, value}].
  • width: width of the image.
  • height: height of the image.
  • colors: Either an Object for colormap configuration, or a String of a default colormap. Options: teelights, jet, parula, gray, magma, plasma, inferno, viridis.
  • cropPolygon: Array of points [{px, py}] forming a polygon to crop the output image
  • kernel: The RBF kernel for computing the intensity of the heatmap. Options: bump, cosine, dampedCosine, exponential, gaussian. linear, polynomial, step.
  • method: The method for accumulating the intensities. Options: max, nearest, shepards, sum.
  • methodArgs: Additional arguments for the method.
drawGeoHeatmap:
  • geoCoords: Array of coordinates [{lat, lng}] of the boundaries of the heatmap. May also be used with crop when passing more than three coordinates to select the polygon inside the coordinates.
  • geoPoints: Array of points to draw [{lat, lng, value}].
  • pxPerDeg: Number of pixels per degree of latitude/longitude. To use this scaling mode neither width and height can be provided.
  • width: Forces the image to have a certain width. Can be used alongside with height.
  • height: Forces the image to have a certain height. Can be used alongside with width.
  • colors: Either an Object for colormap configuration, or a String of a default colormap. Options: teelights, jet, parula, gray, magma, plasma, inferno, viridis.
  • crop: Crops the polygon of the boundaries gven in geoCoords if true.
  • kernel: The RBF kernel for computing the intensity of the heatmap . Options: bump, cosine, dampedCosine, exponential, gaussian. linear, polynomial, step.
  • method: The method for accumulating the intensities. Options: max, nearest, shepards, sum.
  • methodArgs: Additional arguments for the method.

Command line

$ heatmap --help
Usage: heatmap [-g] -i input_file -o output_file       heatmap [-g] [--] file

Options:
  --help        Show help                                              [boolean]
  --version     Show version number                                    [boolean]
  --geo, -g     Receives input as geographic data                      [boolean]
  --input, -i   Input json file with the configurations                 [string]
  --output, -o  Output png file                                         [string]
  --            Receives input from stdin and outputs to stdout

Example:
echo '{"points": [{"px": 10, "py": 10, "value": 1, "sigma": 30},
  {"px": 120, "py": 30, "value": 0.6, "sigma": 50},
  {"px": 70, "py": 130, "value": 0.2, "sigma": 70}],
  "width": 150,
  "height": 150,
  "method": "nearest"}' | bin/heatmap -- > example3.png

   See https://github.com/luxedo/heatmap for configuration details.

example3.png

example3.png

Installation

Install via npm:

$ npm install @luxedo/heatmap

You need to have Cairo installed.

Kernels

There are 8 kernels used as Radial Basis Functions for determining the intensity of each pixel in the heatmap:

bump cosine dampedCosine exponential
bump kernel cosine kernel dampedCosine kernel exponential kernel
gaussian linear polynomial degree 2 step
gaussian kernel linear kernel polynomial kernel step kernel

bump

arguments:
  • radius: Radius of the bump

cosine

arguments:
  • omega: Angular frequency
  • phi: Phase

dampedCosine

arguments:
  • omega: Angular frequency
  • phi: Phase
  • epsilon: Decay

exponential

arguments:
  • epsilon: Decay

gaussian

arguments:
  • sigma: Standard deviation

linear

arguments:
  • epsilon: Decay

polynomial

arguments:
  • epsilon: Decay
  • degree: Degree of the polynomial

step

arguments:
  • radius: Radius of the step

sigmoidBorder

arguments:
  • radius: Radius in pixels
  • epsilon: Softness of the border
  • sigma: Scaling factor

Geo Kernels

Geo Kernels are meant to add consistency for geographical data heatmaps by using more intuitive arguments and scaling the kernels correctly. These kernels are avaliable only for drawGeoHeatMap:

geoGaussian

arguments:
  • radius: Radius of the gaussian in meters

geoSigmoidBorder

arguments:
  • radius: Radius in meters
  • epsilon: Softness of the border
  • sigma: Scaling factor

Methods

There are 5 methods for accumulating the values of the points:

max nearest shepards sum alphaShepards
max method nearest method shepards method sum method alphaShepards method

max

Gets the maximum value of any point

nearest

Gets the value for the nearest point

shepards

Computes a weighted sum of the points using a kernel. The default value is polynomial degree 5.

alphaShepards

Applies the shepards algoritm and also interpolates in the alpha channel

arguments:
  • kernel: Name of the kernel (optional)
  • kernelArgs: Extra arguments for the kernel (optional)

sum

Sums the values of all points.

Colors

The first option for configuring the colormap is by chosing one of the default colors:

teelights default jet parula gray
teelights jet parula gray
magma plasma inferno viridis
magma plasma inferno viridis

The second option is an Object containing the following properties:

  • steps: Number of colors for interpolation.
  • colors: An Array of the colors in the colormap in hex.
  • weights: An Array of weights for each color (optional).

Example

const fs = require("fs");
const heatmap = require("@luxedo/heatmap");

const points = [
  {
    px: 10,
    py: 10,
    value: 1,
    sigma: 30,
  },
  {
    px: 120,
    py: 30,
    value: 0.6,
    sigma: 50,
  },
  {
    px: 70,
    py: 130,
    value: 0.2,
    sigma: 70,
  },
];
const width = 150;
const height = 150;

let colors = {
  steps: 30,
  values: ["#111122", "#44AA11", "#DDDDFF"],
  weights: [1, 2, 3],
};
buf = heatmap.drawHeatmap({ points, width, height, colors });
fs.writeFileSync("example4.png", buf);

example4.png

example4

More Examples

kernel/method max nearest shepards sum
bump max bump nearest_bump shepards_bump sum_bump
cosine max cosine nearest_cosine shepards_cosine sum_cosine
dampedCosine max dampedCosine nearest_dampedCosine shepards_dampedCosine sum_dampedCosine
exponential max exponential nearest_exponential shepards_exponential sum_exponential
gaussian max gaussian nearest_gaussian shepards_gaussian sum_gaussian
linear max linear nearest_linear shepards_linear sum_linear
polynomial max polynomial nearest_polynomial shepards_polynomial sum_polynomial
step max step nearest_step shepards_step sum_step

License

@luxedo/heatmap - Creates heatmaps from latitude and longitude data MIT License

Copyright (c) 2020 Luiz Eduardo Amaral

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Version

1.2.1

License

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  • luxedo