StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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35 lines
1.2 KiB
35 lines
1.2 KiB
4 years ago
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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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var meta_1 = require("@turf/meta");
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var helpers_1 = require("@turf/helpers");
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/**
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* Takes one or more features and calculates the centroid using the mean of all vertices.
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* This lessens the effect of small islands and artifacts when calculating the centroid of a set of polygons.
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*
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* @name centroid
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* @param {GeoJSON} geojson GeoJSON to be centered
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* @param {Object} [options={}] Optional Parameters
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* @param {Object} [options.properties={}] an Object that is used as the {@link Feature}'s properties
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* @returns {Feature<Point>} the centroid of the input features
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* @example
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* var polygon = turf.polygon([[[-81, 41], [-88, 36], [-84, 31], [-80, 33], [-77, 39], [-81, 41]]]);
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*
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* var centroid = turf.centroid(polygon);
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*
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* //addToMap
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* var addToMap = [polygon, centroid]
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*/
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function centroid(geojson, options) {
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if (options === void 0) { options = {}; }
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var xSum = 0;
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var ySum = 0;
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var len = 0;
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meta_1.coordEach(geojson, function (coord) {
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xSum += coord[0];
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ySum += coord[1];
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len++;
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});
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return helpers_1.point([xSum / len, ySum / len], options.properties);
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}
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exports.default = centroid;
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