# @turf/moran-index > 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 Latest version **7.4.0** (published 2026-08-03) · MIT license · 0 weekly downloads ## Install ```sh npm install @turf/moran-index pnpm add @turf/moran-index yarn add @turf/moran-index bun add @turf/moran-index ``` ## Health **Score 80/100 (A)** — status: active. Positive: has types; esm support; no vulnerabilities; has provenance; recently updated; high maintenance score; high quality score; popular repo. Warnings: low downloads. ## Facts | | | |---|---| | Version | 7.4.0 | | Published | 2026-08-03 | | First published | 2018-03-30 | | Weekly downloads | 0 | | License | MIT | | TypeScript types | bundled | | Module format | ESM + CommonJS | | Dependencies | 5 | | Unpacked size | 29.3 KB | | Known vulnerabilities | 0 | | Install scripts | no | | Provenance | attested (GitHub Actions) | | GitHub stars | 10489 | | Author | Turf Authors | | Maintainers | rowanwins, tmcw, morganherlocker, tcql, mdfedderly, twelch, jamesmilneruk, morgan.herlocker | | Keywords | turf, moran-index | ## Links - npm: https://www.npmjs.com/package/@turf/moran-index - Repository: https://github.com/Turfjs/turf - Issues: https://github.com/Turfjs/turf/issues - Funding: https://opencollective.com/turf - npm.io page: https://npm.io/package/@turf/moran-index ## Dependencies (5) - [tslib](https://npm.io/package/tslib.md) ^2.8.1 - [@turf/meta](https://npm.io/package/@turf/meta.md) 7.4.0 - [@turf/helpers](https://npm.io/package/@turf/helpers.md) 7.4.0 - [@types/geojson](https://npm.io/package/@types/geojson.md) ^7946.0.10 - [@turf/distance-weight](https://npm.io/package/@turf/distance-weight.md) 7.4.0 ## Alternatives - [localforage](https://npm.io/package/localforage.md) — 6.2M weekly downloads - [localforage-observable](https://npm.io/package/localforage-observable.md) — 30.8K weekly downloads - [@y/y](https://npm.io/package/@y/y.md) — 30.1K weekly downloads - [@metaobjectsdev/render](https://npm.io/package/@metaobjectsdev/render.md) — 3.5K weekly downloads - [@ledgerhq/coin-algorand](https://npm.io/package/@ledgerhq/coin-algorand.md) — 1.1K weekly downloads ## Recent versions - 7.4.0 (latest) — 2026-08-03 - 7.1.0-alpha.70 (prerelease) — 2024-08-09 - 7.3.5 — 2026-04-19 - 7.3.4 — 2026-02-08 - 7.3.3 — 2026-01-28 - 7.3.2 — 2026-01-14 - 7.3.1 — 2025-11-27 - 7.3.0 — 2025-11-17 - 7.2.0 — 2024-12-29 - 7.1.0 — 2024-08-09 - 7.1.0-alpha.7 — 2024-06-25 - 7.0.0 — 2024-06-07 - 7.0.0-alpha.116 — 2024-05-07 - 7.0.0-alpha.115 — 2024-04-23 - 7.0.0-alpha.114 — 2024-03-11 - … 15 more at https://npm.io/package/@turf/moran-index/versions ## README # @turf/moran-index ## MoranIndex Type: [object][1] ### Properties * `moranIndex` **[number][2]** the moran's Index of the observed feature set * `expectedMoranIndex` **[number][2]** the moran's Index of the random distribution * `stdNorm` **[number][2]** the standard devitaion of the random distribution * `zNorm` **[number][2]** 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**\* 1. [Moran's I][3] 2. [pysal][4] 3. Andy Mitchell, The ESRI Guide to GIS Analysis Volume 2: Spatial Measurements & Statistics. ### Parameters * `fc` **[FeatureCollection][5]\** * `options` **[Object][1]** * `options.inputField` **[string][6]** the property name, must contain numeric values * `options.threshold` **[number][2]** the distance threshold (optional, default `100000`) * `options.p` **[number][2]** the Minkowski p-norm distance parameter (optional, default `2`) * `options.binary` **[boolean][7]** whether transfrom the distance to binary (optional, default `false`) * `options.alpha` **[number][2]** the distance decay parameter (optional, default `-1`) * `options.standardization` **[boolean][7]** wheter row standardization the distance (optional, default `true`) ### Examples ```javascript const bbox = [-65, 40, -63, 42]; const dataset = turf.randomPoint(100, { bbox: bbox }); const result = turf.moranIndex(dataset, { inputField: 'CRIME', }); ``` Returns **[MoranIndex][8]** [1]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object [2]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number [3]: https://en.wikipedia.org/wiki/Moran%27s_I [4]: http://pysal.readthedocs.io/en/latest/index.html [5]: https://tools.ietf.org/html/rfc7946#section-3.3 [6]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String [7]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Boolean [8]: #moranindex --- This module is part of the [Turfjs project](https://turfjs.org/), an open source module collection dedicated to geographic algorithms. It is maintained in the [Turfjs/turf](https://github.com/Turfjs/turf) repository, where you can create PRs and issues. ### Installation Install this single module individually: ```sh $ npm install @turf/moran-index ``` Or install the all-encompassing @turf/turf module that includes all modules as functions: ```sh $ npm install @turf/turf ``` --- _Source: https://npm.io/package/@turf/moran-index · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._