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   源码介绍

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leaflet克里金空间插值

//world.js,是插值之后需要裁切的图形边界信息
	//point.js,是要插值的离散的点
	//遍历world边界数据，生成scope边界线
	var positions = [];
	world[0].forEach(function (point) {
	positions.push([point[1], point[0]]);
	});
	var scope = L.polyline(positions, {color: 'red'}).addTo(map);
	map.fitBounds(scope.getBounds());
	//根据scope边界线的范围，计算范围变量
	var xlim =[scope.getBounds()._southWest.lng,scope.getBounds()._northEast.lng];
	var ylim =[scope.getBounds()._southWest.lat,scope.getBounds()._northEast.lat];
	//进行克里金插值
	function loadkriging()
	{
	var canvas = document.getElementById("canvasMap");
	canvas.width = 1000;
	canvas.height = 1000;
	var n = points.length;
	var t = [];//数值
	var x = [];//经度
	var y = [];//纬度
	for (var i = 0; i < n; i )
	{
	t.push(points[i].attributes.TN_);
	x.push(points[i].geometry.x);
	y.push(points[i].geometry.y);
	L.circle([y[i], x[i]], {radius: 1}).addTo(map);
	}
	//对数据集进行训练
	var variogram = kriging.train(t, x, y, "exponential", 0, 100);
	//使用variogram对象使polygons描述的地理位置内的格网元素具备不一样的预测值,最后一个参数，是插值格点精度大小
	var grid = kriging.grid(world, variogram, (ylim[1]-ylim[0])/150);
	var colors = ["#006837", "#1a9850", "#66bd63", "#a6d96a", "#d9ef8b", "#ffffbf", "#fee08b", "#fdae61", "#f46d43", "#d73027", "#a50026"];
	//将得到的格网grid渲染至canvas上
	kriging.plot(canvas, grid, [xlim[0], xlim[1]], [ylim[0], ylim[1]], colors);
	}

.
├── kriging.js
├── lealfet-kriging.html
├── point.js
├── world.js
└── 好例子网_leaflet_kriging.zip

0 directories, 5 files