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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36 lines
1.0 KiB
36 lines
1.0 KiB
"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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/**
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* Takes a set of features, calculates the bbox of all input features, and returns a bounding box.
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*
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* @name bbox
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* @param {GeoJSON} geojson any GeoJSON object
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* @returns {BBox} bbox extent in [minX, minY, maxX, maxY] order
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* @example
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* var line = turf.lineString([[-74, 40], [-78, 42], [-82, 35]]);
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* var bbox = turf.bbox(line);
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* var bboxPolygon = turf.bboxPolygon(bbox);
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*
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* //addToMap
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* var addToMap = [line, bboxPolygon]
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*/
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function bbox(geojson) {
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var result = [Infinity, Infinity, -Infinity, -Infinity];
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meta_1.coordEach(geojson, function (coord) {
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if (result[0] > coord[0]) {
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result[0] = coord[0];
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}
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if (result[1] > coord[1]) {
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result[1] = coord[1];
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}
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if (result[2] < coord[0]) {
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result[2] = coord[0];
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}
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if (result[3] < coord[1]) {
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result[3] = coord[1];
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}
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});
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return result;
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}
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exports.default = bbox;
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