@turf/moran-index
v7.3.4
Published
Measures patterns of attribute values associated with features. Reveals whether similar values tend to occur near each other, or whether high or low values are interspersed
Readme
@turf/moran-index
MoranIndex
Type: object
Properties
moranIndexnumber the moran's Index of the observed feature setexpectedMoranIndexnumber the moran's Index of the random distributionstdNormnumber the standard devitaion of the random distributionzNormnumber the z-score of the observe samples with regard to the random distribution
moranIndex
Moran's I measures patterns of attribute values associated with features. The method reveal whether similar values tend to occur near each other, or whether high or low values are interspersed.
Moran's I > 0 means a clusterd pattern. Moran's I < 0 means a dispersed pattern. Moran's I = 0 means a random pattern.
In order to test the significance of the result. The z score is calculated. A positive enough z-score (ex. >1.96) indicates clustering, while a negative enough z-score (ex. <-1.96) indicates a dispersed pattern.
the z-score can be calculated based on a normal or random assumption.
Bibliography*
Andy Mitchell, The ESRI Guide to GIS Analysis Volume 2: Spatial Measurements & Statistics.
Parameters
fcFeatureCollection<any>optionsObjectoptions.inputFieldstring the property name, must contain numeric valuesoptions.thresholdnumber the distance threshold (optional, default100000)options.pnumber the Minkowski p-norm distance parameter (optional, default2)options.binaryboolean whether transfrom the distance to binary (optional, defaultfalse)options.alphanumber the distance decay parameter (optional, default-1)options.standardizationboolean wheter row standardization the distance (optional, defaulttrue)
Examples
const bbox = [-65, 40, -63, 42];
const dataset = turf.randomPoint(100, { bbox: bbox });
const result = turf.moranIndex(dataset, {
inputField: 'CRIME',
});Returns MoranIndex
This module is part of the Turfjs project, an open source module collection dedicated to geographic algorithms. It is maintained in the Turfjs/turf repository, where you can create PRs and issues.
Installation
Install this single module individually:
$ npm install @turf/moran-indexOr install the all-encompassing @turf/turf module that includes all modules as functions:
$ npm install @turf/turf