1. Go to this page and download the library: Download f1r3starter/kdtree library. Choose the download type require.
2. Extract the ZIP file and open the index.php.
3. Add this code to the index.php.
<?php
require_once('vendor/autoload.php');
/* Start to develop here. Best regards https://php-download.com/ */
f1r3starter / kdtree example snippets
use KDTree\Structure\KDTree;
use KDTree\ValueObject\Point;
$kdTree = new KDTree(2); // 2 for two-dimensional points, eg cities
$kdTree->put(new Point(35.0844, 106.6504));
$kdTree->put(new Point(41.2865, 174.7762));
// if you need somehow connect point to your application, you can use setName method
$point = new Point(46.8117, 33.4902);
$point->setName('Kakhovka');
$kdTree->put($point);
//...
$points = $kdTree->points(); // returns list of all points, which can be iterated through
$kdTree->contains(new Point(46.8117, 33.4902)); // will return "true"
use KDTree\Search\NearestSearch;
use KDTree\ValueObject\Point;
$search = new NearestSearch($kdTree);
$nearestPoint = $search->nearest((new Point(41.2865, 174.7762)));
use KDTree\Structure\PointsList;
use KDTree\Search\PartitionSearch;
use KDTree\ValueObject\{Partition, Point};
$pointsList = new PointsList(2);
$pointsList->addPoint(new Point(46.8117, 33.4902));
$pointsList->addPoint(new Point(31.3142, 42.5245));
$pointsList->addPoint(new Point(22.2525, 41.3412));
$pointsList->addPoint(new Point(55.4245, 52.5134));
$search = new PartitionSearch($kdTree);
$foundPoints = $search->find(new Partition($pointsList));
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