jtBaseApp/node_modules/@turf/interpolate/dist/es/index.js

import bbox from '@turf/bbox';
import hexGrid from '@turf/hex-grid';
import pointGrid from '@turf/point-grid';
import distance from '@turf/distance';
import centroid from '@turf/centroid';
import squareGrid from '@turf/square-grid';
import triangleGrid from '@turf/triangle-grid';
import clone from '@turf/clone';
import { featureCollection } from '@turf/helpers';
import { featureEach } from '@turf/meta';
import { collectionOf } from '@turf/invariant';

/**
 * Takes a set of points and estimates their 'property' values on a grid using the [Inverse Distance Weighting (IDW) method](https://en.wikipedia.org/wiki/Inverse_distance_weighting).
 *
 * @name interpolate
 * @param {FeatureCollection<Point>} points with known value
 * @param {number} cellSize the distance across each grid point
 * @param {Object} [options={}] Optional parameters
 * @param {string} [options.gridType='square'] defines the output format based on a Grid Type (options: 'square' | 'point' | 'hex' | 'triangle')
 * @param {string} [options.property='elevation'] the property name in `points` from which z-values will be pulled, zValue fallbacks to 3rd coordinate if no property exists.
 * @param {string} [options.units='kilometers'] used in calculating cellSize, can be degrees, radians, miles, or kilometers
 * @param {number} [options.weight=1] exponent regulating the distance-decay weighting
 * @returns {FeatureCollection<Point|Polygon>} grid of points or polygons with interpolated 'property'
 * @example
 * var points = turf.randomPoint(30, {bbox: [50, 30, 70, 50]});
 *
 * // add a random property to each point
 * turf.featureEach(points, function(point) {
 *     point.properties.solRad = Math.random() * 50;
 * });
 * var options = {gridType: 'points', property: 'solRad', units: 'miles'};
 * var grid = turf.interpolate(points, 100, options);
 *
 * //addToMap
 * var addToMap = [grid];
 */
function interpolate(points, cellSize, options) {
  // Optional parameters
  options = options || {};
  if (typeof options !== "object") throw new Error("options is invalid");
  var gridType = options.gridType;
  var property = options.property;
  var weight = options.weight;

  // validation
  if (!points) throw new Error("points is required");
  collectionOf(points, "Point", "input must contain Points");
  if (!cellSize) throw new Error("cellSize is required");
  if (weight !== undefined && typeof weight !== "number")
    throw new Error("weight must be a number");

  // default values
  property = property || "elevation";
  gridType = gridType || "square";
  weight = weight || 1;

  var box = bbox(points);
  var grid;
  switch (gridType) {
    case "point":
    case "points":
      grid = pointGrid(box, cellSize, options);
      break;
    case "square":
    case "squares":
      grid = squareGrid(box, cellSize, options);
      break;
    case "hex":
    case "hexes":
      grid = hexGrid(box, cellSize, options);
      break;
    case "triangle":
    case "triangles":
      grid = triangleGrid(box, cellSize, options);
      break;
    default:
      throw new Error("invalid gridType");
  }
  var results = [];
  featureEach(grid, function (gridFeature) {
    var zw = 0;
    var sw = 0;
    // calculate the distance from each input point to the grid points
    featureEach(points, function (point) {
      var gridPoint =
        gridType === "point" ? gridFeature : centroid(gridFeature);
      var d = distance(gridPoint, point, options);
      var zValue;
      // property has priority for zValue, fallbacks to 3rd coordinate from geometry
      if (property !== undefined) zValue = point.properties[property];
      if (zValue === undefined) zValue = point.geometry.coordinates[2];
      if (zValue === undefined) throw new Error("zValue is missing");
      if (d === 0) zw = zValue;
      var w = 1.0 / Math.pow(d, weight);
      sw += w;
      zw += w * zValue;
    });
    // write interpolated value for each grid point
    var newFeature = clone(gridFeature);
    newFeature.properties[property] = zw / sw;
    results.push(newFeature);
  });
  return featureCollection(results);
}

export default interpolate;