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var box = bbox(scale(bboxPolygon(bbox(collection)), 1.15)); // extend 15%
if (!resolution) {
var width = distance([box[0], box[1]], [box[2], box[1]], options);
resolution = width / 100;
}
collection.features.pop();
collection.features.pop();
var west = box[0];
var south = box[1];
var east = box[2];
var north = box[3];
var xFraction = resolution / (distance([west, south], [east, south], options));
var cellWidth = xFraction * (east - west);
var yFraction = resolution / (distance([west, south], [west, north], options));
var cellHeight = yFraction * (north - south);
var bboxHorizontalSide = (east - west);
var bboxVerticalSide = (north - south);
var columns = Math.floor(bboxHorizontalSide / cellWidth);
var rows = Math.floor(bboxVerticalSide / cellHeight);
// adjust origin of the grid
var deltaX = (bboxHorizontalSide - columns * cellWidth) / 2;
var deltaY = (bboxVerticalSide - rows * cellHeight) / 2;
// loop through points only once to speed up process
// define matrix grid for A-star algorithm
var pointMatrix = [];
var matrix = [];
var closestToStart = [];
}) {
const isTranslateFeature =
this.props.mode === 'modify' &&
this.props.modeConfig &&
this.props.modeConfig.action === 'transformTranslate';
let distanceMoved = 0.02;
const { pointerMovePicks } = this.state;
if (
isTranslateFeature &&
pointerMovePicks &&
pointerMovePicks.length &&
picks &&
picks.length
) {
distanceMoved = Math.max(
turfDistance(point(pointerMovePicks[0].lngLat), point(picks[0].lngLat)),
0.02
);
}
this.setState({ pointerMovePicks: picks });
if (pointerDownPicks && pointerDownPicks.length > 0) {
if (isTranslateFeature) {
sourceEvent.stopPropagation();
this.handleTransformTranslate(screenCoords, groundCoords, pointerDownPicks, distanceMoved);
return;
}
const editHandleInfo = this.getPickedEditHandle(pointerDownPicks);
if (editHandleInfo) {
// TODO: find a less hacky way to prevent map panning
// Stop propagation to prevent map panning while dragging an edit handle
sourceEvent.stopPropagation();
const mods = shapefile.features.map(feat => {
const segments = []
// we make each segment in the input geometry a segment in the output.
// otherwise adding a stop in the middle would replace all of the surrounding geometry.
let {coordinates, type} = feat.geometry
if (type === 'MultiLineString') {
// flatten the coordinates
const flat = []
for (let i = 0; i < coordinates.length; i++) {
if (i > 0) {
// make sure they line up at the ends
if (
distance(
point(coordinates[i - 1].slice(-1)[0]),
point(coordinates[i][0]),
'kilometers'
) > 0.05
) {
this.setState({
error: message('shapefile.invalidMultiLineString'),
uploading: false
})
throw new Error('Invalid feature')
}
coordinates[i].forEach(c => flat.push(c))
}
}
const m = this._getMousePosFromEvent(event);
this.mousePoints = [m, m];
}
redraw = true;
} else if (event.type === 'mousemove' && landPoints.length) {
// update last point
landPoints[landPoints.length - 1] = lngLat;
mousePoints[mousePoints.length - 1] = this._getMousePosFromEvent(event);
redraw = true;
} else if (event.type === 'mouseup') {
if (usePolygon) {
// check to see if completed
// TODO: Maybe double-click to finish?
if (
landPoints.length > 4 &&
turfDistance(landPoints[0], landPoints[landPoints.length - 1]) < POLYGON_THRESHOLD &&
this.validPolygon
) {
this._selectPolygonObjects();
this.reset();
redraw = true;
deactivate = true;
}
} else {
this._selectRectangleObjects();
this.reset();
redraw = true;
deactivate = true;
}
}
return { redraw, deactivate };
function squareGrid<p>(bbox: BBox, cellSide: number, options: {
units?: Units,
properties?: P,
mask?: Feature</p>
_handlePointerMoveForDrawCircleByBoundingBox(groundCoords: Position) {
if (this._clickSequence.length === 0) {
// nothing to do yet
return;
}
const firstClickedPoint = this._clickSequence[0];
const centerCoordinates = getIntermediatePosition(firstClickedPoint, groundCoords);
const radius = Math.max(distance(firstClickedPoint, centerCoordinates), 0.001);
this._setTentativeFeature(circle(centerCoordinates, radius));
}
1.5
]
}
};
var foundFeatures = [];
var closestDistance = 100000000000;
var closest;
var iterator = queryTestFeatureDao.queryIndexedFeaturesWithBoundingBox(bb);
for (var row of iterator) {
foundFeatures.push(row.values.name);
var geometry = row.getGeometry().toGeoJSON();
if (geometry.type == 'Point') {
var distance = pointDistance(centerPoint, geometry);
if (distance < closestDistance) {
closest = row;
closestDistance = distance;
} else if (distance == closestDistance && closest.type != 'Point') {
closest = row;
closestDistance = distance;
}
} else if (geometry.type == 'LineString') {
var distance = pointToLineDistance(centerPoint, geometry);
if (distance < closestDistance) {
closest = row;
closestDistance = distance;
} else if (distance == closestDistance && closest.type != 'Point') {
closest = row;
closestDistance = distance;
}
featureEach(centroids, function (theCentroid: any) {
var weightValue = theCentroid.properties.weight;
var weight = (weightValue === undefined || weightValue === null) ? 1 : weightValue;
weight = Number(weight);
if (!isNumber(weight)) throw new Error('weight value must be a number');
if (weight > 0) {
centroidCount += 1;
var distanceFromCandidate = weight * distance(theCentroid, candidateMedian);
if (distanceFromCandidate === 0) distanceFromCandidate = 1;
var k = weight / distanceFromCandidate;
candidateXsum += theCentroid.geometry.coordinates[0] * k;
candidateYsum += theCentroid.geometry.coordinates[1] * k;
kSum += k;
}
});
if (centroidCount < 1) throw new Error('no features to measure');
return coordinates.map((coordinate, index) => {
if (index === 0) return 0;
sum += distance(coordinates[index - 1], coordinates[index], { units });
return labelFormat(sum);
});
}