classify-series

Classification algorithms for number-arrays.

• classify-series
  • Description
  • docs
  • Inspiration
  • Known Issues

Description

This package provides pure javascript functions for classification of Number-arrays.

There are 4 different algorithms to choose from. See differences in docs. All algorithms take a number-array and the number of classes as parameters. The output is a bounds-array of length nbClass + 1. This bounds-array includes the minimum and maximum value of the series as well as the breakpoints for classification.

The package also exposes two helper functions to process bounds-arrays: classIdx(bounds, val) will take bounds and a concrete value and return the classification index. An index that ranges from 0 to nbClass - 1. You can use this for example to classify by a color-array. getRanges(bound) returns an array that represent the classes as strings. It can take a custom separator (default = ' - ') and a precision for rounding the values.

Example (two classes):

import { classifyEqInterval, getRanges, classIdx } from 'classify-series'

const serie = [1, 2, 3, 4]
const nbClass = 2

const bounds = classifyEqInterval(serie, nbClass) // [1, 2.5, 4]
const ranges = getRanges(bounds) // ['1 - 2.5', '2.5 - 4']

classIdx(bounds, 1) // 0
classIdx(bounds, 1.5) // 0
classIdx(bounds, 2.5) // 0
classIdx(bounds, 3) // 1
classIdx(bounds, 0) // -1

Example (classification by color).

// classification by color
const colors = ['#fff', '#000']
colors[classIdx(bounds, 1)] // '#fff'
colors[classIdx(bounds, 0)] // undefined
colors[classIdx(bounds, 0)] || '#888' // '#888' be careful for for falsible values in colors

for (let i = 0; i < ranges.length; i++) {
  console.log(`Class ${i + 1}: ${ranges[i]} | ${colors[i]}`)
  // Class 1: 1 - 2.5 | #fff
  // Class 2: 2.5 - 4 | #000
}

If you have falsible values in your classes-array ("null", "0", ...) and want to classify out of bound values this package provides a helper function: getClass(bounds, val, classes, oob). It safely classifies values out of the series range as the provided oob-value.

import { getClass } from 'classify-series'

getClass(bounds, 2, colors, '#888') // '#fff'
getClass(bounds, 0, colors, '#888') // '#888'

// it's basically this:
typeof colors[classIdx(bounds, 0)] !== 'undefined'
  ? colors[classIdx(bounds, 0)]
  : '#888' // '#888'

docs

todo...

Inspiration

Thanks to simogeo/geostats for the algorithm implementations. I altered them to use newer javascript syntax and functionality. Also this package provides each algorithm as a pure function. These changes result in a smaller build and make tree-shaking possible.

Known Issues

• Jenks is behaving strange when number of classes is smaller or equal to series.length.