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Update this documentation by updating the source code. -->\n\n## pNormDistance\n\ncalcualte the Minkowski p-norm distance between two features.\n\n### Parameters\n\n*   `feature1` **[Feature][1]<[Point][2]>** point feature\n*   `feature2` **[Feature][1]<[Point][2]>** point feature\n*   `p`  p-norm 1=\\<p<=infinity 1: Manhattan distance 2: Euclidean distance (optional, default `2`)\n\nReturns **[number][3]**&#x20;\n\n## distanceWeight\n\n### Parameters\n\n*   `fc` **[FeatureCollection][4]\\<any>** FeatureCollection.\n*   `options` **[Object][5]?** option object.\n\n    *   `options.threshold` **[number][3]** If the distance between neighbor and\n        target features is greater than threshold, the weight of that neighbor is 0. (optional, default `10000`)\n    *   `options.p` **[number][3]** Minkowski p-norm distance parameter.\n        1: Manhattan distance. 2: Euclidean distance. 1=\\<p<=infinity. (optional, default `2`)\n    *   `options.binary` **[boolean][6]** If true, weight=1 if d <= threshold otherwise weight=0.\n        If false, weight=Math.pow(d, alpha). (optional, default `false`)\n    *   `options.alpha` **[number][3]** distance decay parameter.\n        A big value means the weight decay quickly as distance increases. (optional, default `-1`)\n    *   `options.standardization` **[boolean][6]** row standardization. (optional, default `false`)\n\n### Examples\n\n```javascript\nvar bbox = [-65, 40, -63, 42];\nvar dataset = turf.randomPoint(100, { bbox: bbox });\nvar result = turf.distanceWeight(dataset);\n```\n\nReturns **[Array][7]<[Array][7]<[number][3]>>** distance weight matrix.\n\n[1]: https://tools.ietf.org/html/rfc7946#section-3.2\n\n[2]: https://tools.ietf.org/html/rfc7946#section-3.1.2\n\n[3]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number\n\n[4]: https://tools.ietf.org/html/rfc7946#section-3.3\n\n[5]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object\n\n[6]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Boolean\n\n[7]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array\n\n<!-- This file is automatically generated. Please don't edit it directly. If you find an error, edit the source file of the module in question (likely index.js or index.ts), and re-run \"yarn docs\" from the root of the turf project. -->\n\n---\n\nThis 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.\n\n### Installation\n\nInstall this single module individually:\n\n```sh\n$ npm install @turf/distance-weight\n```\n\nOr install the all-encompassing @turf/turf module that includes all modules as functions:\n\n```sh\n$ npm install @turf/turf\n```\n","readmeFilename":"README.md"}