@turf/moran-index
MoranIndex
Type: object
Properties
moranIndex
number the moran's Index of the observed feature setexpectedMoranIndex
number the moran's Index of the random distributionstdNorm
number the standard devitaion of the random distributionzNorm
number 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*
-
Moran's I
-
pysal
-
Andy Mitchell, The ESRI Guide to GIS Analysis Volume 2: Spatial Measurements & Statistics.
Parameters
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-index
Or install the all-encompassing @turf/turf module that includes all modules as functions:
$ npm install @turf/turf