node-red-contrib-tak-registration

# @turf/clusters  ## getCluster Get Cluster ### Parameters * `geojson` **[FeatureCollection][1]** GeoJSON Features * `filter` **any** Filter used on GeoJSON properties to get Cluster ### Examples ```javascript var geojson = turf.featureCollection([ turf.point([0, 0], {'marker-symbol': 'circle'}), turf.point([2, 4], {'marker-symbol': 'star'}), turf.point([3, 6], {'marker-symbol': 'star'}), turf.point([5, 1], {'marker-symbol': 'square'}), turf.point([4, 2], {'marker-symbol': 'circle'}) ]); // Create a cluster using K-Means (adds `cluster` to GeoJSON properties) var clustered = turf.clustersKmeans(geojson); // Retrieve first cluster (0) var cluster = turf.getCluster(clustered, {cluster: 0}); //= cluster // Retrieve cluster based on custom properties turf.getCluster(clustered, {'marker-symbol': 'circle'}).length; //= 2 turf.getCluster(clustered, {'marker-symbol': 'square'}).length; //= 1 ``` Returns **[FeatureCollection][1]** Single Cluster filtered by GeoJSON Properties ## clusterEachCallback Callback for clusterEach Type: [Function][2] ### Parameters * `cluster` **[FeatureCollection][1]?** The current cluster being processed. * `clusterValue` **any?** Value used to create cluster being processed. * `currentIndex` **[number][3]?** The index of the current element being processed in the array.Starts at index 0 Returns **void**  ## clusterEach clusterEach ### Parameters * `geojson` **[FeatureCollection][1]** GeoJSON Features * `property` **([string][4] | [number][3])** GeoJSON property key/value used to create clusters * `callback` **[clusterEachCallback][5]** a method that takes (cluster, clusterValue, currentIndex) ### Examples ```javascript var geojson = turf.featureCollection([ turf.point([0, 0]), turf.point([2, 4]), turf.point([3, 6]), turf.point([5, 1]), turf.point([4, 2]) ]); // Create a cluster using K-Means (adds `cluster` to GeoJSON properties) var clustered = turf.clustersKmeans(geojson); // Iterate over each cluster turf.clusterEach(clustered, 'cluster', function (cluster, clusterValue, currentIndex) { //= cluster //= clusterValue //= currentIndex }) // Calculate the total number of clusters var total = 0 turf.clusterEach(clustered, 'cluster', function () { total++; }); // Create an Array of all the values retrieved from the 'cluster' property var values = [] turf.clusterEach(clustered, 'cluster', function (cluster, clusterValue) { values.push(clusterValue); }); ``` Returns **void**  ## clusterReduceCallback Callback for clusterReduce The first time the callback function is called, the values provided as arguments depend on whether the reduce method has an initialValue argument. If an initialValue is provided to the reduce method: * The previousValue argument is initialValue. * The currentValue argument is the value of the first element present in the array. If an initialValue is not provided: * The previousValue argument is the value of the first element present in the array. * The currentValue argument is the value of the second element present in the array. Type: [Function][2] ### Parameters * `previousValue` **any?** The accumulated value previously returned in the last invocation of the callback, or initialValue, if supplied. * `cluster` **[FeatureCollection][1]?** The current cluster being processed. * `clusterValue` **any?** Value used to create cluster being processed. * `currentIndex` **[number][3]?** The index of the current element being processed in the array. Starts at index 0, if an initialValue is provided, and at index 1 otherwise. Returns **void**  ## clusterReduce Reduce clusters in GeoJSON Features, similar to Array.reduce() ### Parameters * `geojson` **[FeatureCollection][1]** GeoJSON Features * `property` **([string][4] | [number][3])** GeoJSON property key/value used to create clusters * `callback` **[clusterReduceCallback][6]** a method that takes (previousValue, cluster, clusterValue, currentIndex) * `initialValue` **any?** Value to use as the first argument to the first call of the callback. ### Examples ```javascript var geojson = turf.featureCollection([ turf.point([0, 0]), turf.point([2, 4]), turf.point([3, 6]), turf.point([5, 1]), turf.point([4, 2]) ]); // Create a cluster using K-Means (adds `cluster` to GeoJSON properties) var clustered = turf.clustersKmeans(geojson); // Iterate over each cluster and perform a calculation var initialValue = 0 turf.clusterReduce(clustered, 'cluster', function (previousValue, cluster, clusterValue, currentIndex) { //=previousValue //=cluster //=clusterValue //=currentIndex return previousValue++; }, initialValue); // Calculate the total number of clusters var total = turf.clusterReduce(clustered, 'cluster', function (previousValue) { return previousValue++; }, 0); // Create an Array of all the values retrieved from the 'cluster' property var values = turf.clusterReduce(clustered, 'cluster', function (previousValue, cluster, clusterValue) { return previousValue.concat(clusterValue); }, []); ``` Returns **any** The value that results from the reduction. [1]: https://tools.ietf.org/html/rfc7946#section-3.3 [2]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Statements/function [3]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number [4]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String [5]: #clustereachcallback [6]: #clusterreducecallback  --- 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/clusters ``` Or install the all-encompassing @turf/turf module that includes all modules as functions: ```sh $ npm install @turf/turf ```