171 lines
5.3 KiB
JavaScript
171 lines
5.3 KiB
JavaScript
goog.provide('ol.Ellipsoid');
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goog.require('goog.math');
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goog.require('ol.Coordinate');
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/**
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* @constructor
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* @param {number} a Major radius.
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* @param {number} flattening Flattening.
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*/
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ol.Ellipsoid = function(a, flattening) {
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/**
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* @type {number}
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*/
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this.a = a;
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/**
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* @type {number}
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*/
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this.flattening = flattening;
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/**
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* @type {number}
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*/
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this.b = this.a * (1 - this.flattening);
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};
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/**
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* @param {ol.Coordinate} c1 Coordinate 1.
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* @param {ol.Coordinate} c2 Coordinate 1.
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* @param {number=} opt_minDeltaLambda Minimum delta lambda for convergence.
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* @param {number=} opt_maxIterations Maximum iterations.
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* @return {{distance: number, initialBearing: number, finalBearing: number}}
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* Vincenty.
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*/
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ol.Ellipsoid.prototype.vincenty =
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function(c1, c2, opt_minDeltaLambda, opt_maxIterations) {
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var minDeltaLambda = goog.isDef(opt_minDeltaLambda) ?
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opt_minDeltaLambda : 1e-12;
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var maxIterations = goog.isDef(opt_maxIterations) ?
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opt_maxIterations : 100;
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var f = this.flattening;
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var lat1 = goog.math.toRadians(c1.y);
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var lat2 = goog.math.toRadians(c2.y);
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var deltaLon = goog.math.toRadians(c2.x - c1.x);
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var U1 = Math.atan((1 - f) * Math.tan(lat1));
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var cosU1 = Math.cos(U1);
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var sinU1 = Math.sin(U1);
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var U2 = Math.atan((1 - f) * Math.tan(lat2));
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var cosU2 = Math.cos(U2);
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var sinU2 = Math.sin(U2);
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var lambda = deltaLon;
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var cosSquaredAlpha, sinAlpha;
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var cosLambda, deltaLambda = Infinity, sinLambda;
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var cos2SigmaM, cosSigma, sigma, sinSigma;
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var i;
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for (i = maxIterations; i > 0; --i) {
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cosLambda = Math.cos(lambda);
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sinLambda = Math.sin(lambda);
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var x = cosU2 * sinLambda;
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var y = cosU1 * sinU2 - sinU1 * cosU2 * cosLambda;
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sinSigma = Math.sqrt(x * x + y * y);
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if (sinSigma === 0) {
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return {
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distance: 0,
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initialBearing: 0,
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finalBearing: 0
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};
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}
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cosSigma = sinU1 * sinU2 + cosU1 * cosU2 * cosLambda;
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sigma = Math.atan2(sinSigma, cosSigma);
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sinAlpha = cosU1 * cosU2 * sinLambda / sinSigma;
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cosSquaredAlpha = 1 - sinAlpha * sinAlpha;
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cos2SigmaM = cosSigma - 2 * sinU1 * sinU2 / cosSquaredAlpha;
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if (isNaN(cos2SigmaM)) {
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cos2SigmaM = 0;
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}
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var C = f / 16 * cosSquaredAlpha * (4 + f * (4 - 3 * cosSquaredAlpha));
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var lambdaPrime = deltaLon + (1 - C) * f * sinAlpha * (sigma +
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C * sinSigma * (cos2SigmaM +
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C * cosSigma * (2 * cos2SigmaM * cos2SigmaM - 1)));
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deltaLambda = Math.abs(lambdaPrime - lambda);
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lambda = lambdaPrime;
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if (deltaLambda < minDeltaLambda) {
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break;
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}
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}
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if (i === 0) {
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return {
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distance: NaN,
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finalBearing: NaN,
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initialBearing: NaN
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};
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}
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var aSquared = this.a * this.a;
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var bSquared = this.b * this.b;
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var uSquared = cosSquaredAlpha * (aSquared - bSquared) / bSquared;
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var A = 1 + uSquared / 16384 *
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(4096 + uSquared * (uSquared * (320 - 175 * uSquared) - 768));
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var B = uSquared / 1024 *
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(256 + uSquared * (uSquared * (74 - 47 * uSquared) - 128));
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var deltaSigma = B * sinSigma * (cos2SigmaM + B / 4 *
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(cosSigma * (2 * cos2SigmaM * cos2SigmaM - 1) -
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B / 6 * cos2SigmaM * (4 * sinSigma * sinSigma - 3) *
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(4 * cos2SigmaM * cos2SigmaM - 3)));
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cosLambda = Math.cos(lambda);
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sinLambda = Math.sin(lambda);
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var alpha1 = Math.atan2(cosU2 * sinLambda,
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cosU1 * sinU2 - sinU1 * cosU2 * cosLambda);
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var alpha2 = Math.atan2(cosU1 * sinLambda,
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cosU1 * sinU2 * cosLambda - sinU1 * cosU2);
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return {
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distance: this.b * A * (sigma - deltaSigma),
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initialBearing: goog.math.toDegrees(alpha1),
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finalBearing: goog.math.toDegrees(alpha2)
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};
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};
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/**
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* Returns the distance from c1 to c2 using Vincenty.
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*
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* @param {ol.Coordinate} c1 Coordinate 1.
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* @param {ol.Coordinate} c2 Coordinate 1.
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* @param {number=} opt_minDeltaLambda Minimum delta lambda for convergence.
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* @param {number=} opt_maxIterations Maximum iterations.
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* @return {number} Vincenty distance.
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*/
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ol.Ellipsoid.prototype.vincentyDistance =
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function(c1, c2, opt_minDeltaLambda, opt_maxIterations) {
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var vincenty = this.vincenty(c1, c2, opt_minDeltaLambda, opt_maxIterations);
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return vincenty.distance;
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};
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/**
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* Returns the final bearing from c1 to c2 using Vincenty.
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*
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* @param {ol.Coordinate} c1 Coordinate 1.
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* @param {ol.Coordinate} c2 Coordinate 1.
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* @param {number=} opt_minDeltaLambda Minimum delta lambda for convergence.
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* @param {number=} opt_maxIterations Maximum iterations.
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* @return {number} Initial bearing.
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*/
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ol.Ellipsoid.prototype.vincentyFinalBearing =
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function(c1, c2, opt_minDeltaLambda, opt_maxIterations) {
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var vincenty = this.vincenty(c1, c2, opt_minDeltaLambda, opt_maxIterations);
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return vincenty.finalBearing;
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};
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/**
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* Returns the initial bearing from c1 to c2 using Vincenty.
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*
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* @param {ol.Coordinate} c1 Coordinate 1.
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* @param {ol.Coordinate} c2 Coordinate 1.
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* @param {number=} opt_minDeltaLambda Minimum delta lambda for convergence.
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* @param {number=} opt_maxIterations Maximum iterations.
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* @return {number} Initial bearing.
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*/
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ol.Ellipsoid.prototype.vincentyInitialBearing =
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function(c1, c2, opt_minDeltaLambda, opt_maxIterations) {
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var vincenty = this.vincenty(c1, c2, opt_minDeltaLambda, opt_maxIterations);
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return vincenty.initialBearing;
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};
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