arcgis怎么在指定的研究区范围内做克里金插值,并且把各个取值范围的面积统计出来。
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在GP工具箱有克里金插值工具,其中有一个参数就是掩膜数据,可以是矢量或者栅格,插值后的数据就是在掩膜的范围;插值后得到的数据是栅格数据,如果想对各个取值范围进行面积统计可以进行栅格重分类,根据栅格值的大小,设定分类的范围得到分类后的栅格数据;
将分类后的栅格数据通过栅格转矢量工具转为矢量数据,如果数据本身带有坐标系的话,矢量面数据本身就会有面积属性,可简单处理后得到面积统计 参考技术A
将预测图先做出来
打开图层属性,有一个设置将范围设置为。。。,选择你想要的矢量范围就可以啦
不过边角这边插值有点问题,可能是这里没有采样点的原因。
参考技术B 打开克里金插值法的界面,设置参数设置界面右下角的“环境(environment)”,“处理范围(processing extent)”的“捕捉栅格”选择shp文件,“栅格分析(raster analysis)”中的“掩膜”选择选择shp文件。设置好,点确定即可。 参考技术C 做完以后裁切,然后重分类openlayers4 入门开发系列之前端动态渲染克里金插值 kriging 篇(附源码下载)
前言
openlayers4 官网的 api 文档介绍地址 openlayers4 api,里面详细的介绍 openlayers4 各个类的介绍,还有就是在线例子:openlayers4 官网在线例子,这个也是学习 openlayers4 的好素材。
openlayers4 入门开发系列的地图服务基于 Geoserver 发布的,关于 Geoserver 方面操作的博客,可以参考以下几篇文章:
内容概览
1.基于 openlayers4 实现前端动态渲染克里金插值 kriging 效果
2.源代码 demo 下载
本篇的重点内容是利用 openlayers4 实现前端动态渲染克里金插值 kriging 功能,根据配置颜色模型不同渲染效果不同:
-
颜色数组配置颜色带少,不够圆滑效果
-
颜色数组配置颜色带多,比较圆滑效果
实现思路
- 利用开源 js 库克里金插值 kriging.js,源码 github 见这里:github;
关于 kriging.js 的相关介绍详情说明,自行看 github 以及结合百度搜索。 - kriging.js 插值需要插值点,包括点坐标以及插值权重字段值,还需要插值范围边界,我这里的模拟插值点以及插值边界分别存储在 point.js 以及 world.js 文件。
point.js:
var points = [ { "attributes": { "FID": 0, "NAME": "绵竹镇", "TN_": 25.6 }, "geometry": { "x": 103.6905556, "y": 29.62972222 } }, { "attributes": { "FID": 1, "NAME": "高桥镇", "TN_": 22.9 }, "geometry": { "x": 103.4222222, "y": 29.52638889 } }, ……省略号 ]
world.js :
var world = [ [ [ 104.13092800000004, 29.022763000000054 ], [ 104.11851800000005, 28.966904000000056 ], [ 104.10646800000006, 28.953798000000063 ], [ 104.08176800000007, 28.958551000000057 ], [ 104.07084300000008, 28.941115000000025 ], ……省略号 ] ]
- kriging.js 核心三个函数:
- kriging.train
-
var variogram=kriging.train(t,x,y,params.krigingModel,params.krigingSigma2,params.krigingAlpha);
- kriging.grid
-
var grid=kriging.grid(world,variogram,(extent[2]-extent[0])/200);
- kriging.plot
-
//使用分层设色渲染
-
kriging.plot(canvas,grid,[extent[0],extent[2]],[extent[1],extent[3]],params.colors);
下面详细介绍上述函数用到的参数值:
- params 常量配置值:
var params={ krigingModel:‘exponential‘,//model还可选‘gaussian‘,‘spherical‘ krigingSigma2:0, krigingAlpha:100, canvasAlpha:0.9,//canvas图层透明度 colors:["#00A600", "#01A600", "#03A700", "#04A700", "#05A800", "#07A800", "#08A900", "#09A900", "#0BAA00", "#0CAA00", "#0DAB00", "#0FAB00", "#10AC00", "#12AC00", "#13AD00", "#14AD00", "#16AE00", "#17AE00", "#19AF00", "#1AAF00", "#1CB000", "#1DB000", "#1FB100", "#20B100", "#22B200", "#23B200", "#25B300", "#26B300", "#28B400", "#29B400", "#2BB500", "#2CB500", "#2EB600", "#2FB600", "#31B700", "#33B700", "#34B800", "#36B800", "#37B900", "#39B900", "#3BBA00", "#3CBA00", "#3EBB00", "#3FBB00", "#41BC00", "#43BC00", "#44BD00", "#46BD00", "#48BE00", "#49BE00", "#4BBF00", "#4DBF00", "#4FC000", "#50C000", "#52C100", "#54C100", "#55C200", "#57C200", "#59C300", "#5BC300", "#5DC400", "#5EC400", "#60C500", "#62C500", "#64C600", "#66C600", "#67C700", "#69C700", "#6BC800", "#6DC800", "#6FC900", "#71C900", "#72CA00", "#74CA00", "#76CB00", "#78CB00", "#7ACC00", "#7CCC00", "#7ECD00", "#80CD00", "#82CE00", "#84CE00", "#86CF00", "#88CF00", "#8AD000", "#8BD000", "#8DD100", "#8FD100", "#91D200", "#93D200", "#95D300", "#97D300", "#9AD400", "#9CD400", "#9ED500", "#A0D500", "#A2D600", "#A4D600", "#A6D700", "#A8D700", "#AAD800", "#ACD800", "#AED900", "#B0D900", "#B2DA00", "#B5DA00", "#B7DB00", "#B9DB00", "#BBDC00", "#BDDC00", "#BFDD00", "#C2DD00", "#C4DE00", "#C6DE00", "#C8DF00", "#CADF00", "#CDE000", "#CFE000", "#D1E100", "#D3E100", "#D6E200", "#D8E200", "#DAE300", "#DCE300", "#DFE400", "#E1E400", "#E3E500", "#E6E600", "#E6E402", "#E6E204", "#E6E105", "#E6DF07", "#E6DD09", "#E6DC0B", "#E6DA0D", "#E6D90E", "#E6D710", "#E6D612", "#E7D414", "#E7D316", "#E7D217", "#E7D019", "#E7CF1B", "#E7CE1D", "#E7CD1F", "#E7CB21", "#E7CA22", "#E7C924", "#E8C826", "#E8C728", "#E8C62A", "#E8C52B", "#E8C42D", "#E8C32F", "#E8C231", "#E8C133", "#E8C035", "#E8BF36", "#E9BE38", "#E9BD3A", "#E9BC3C", "#E9BB3E", "#E9BB40", "#E9BA42", "#E9B943", "#E9B945", "#E9B847", "#E9B749", "#EAB74B", "#EAB64D", "#EAB64F", "#EAB550", "#EAB552", "#EAB454", "#EAB456", "#EAB358", "#EAB35A", "#EAB35C", "#EBB25D", "#EBB25F", "#EBB261", "#EBB263", "#EBB165", "#EBB167", "#EBB169", "#EBB16B", "#EBB16C", "#EBB16E", "#ECB170", "#ECB172", "#ECB174", "#ECB176", "#ECB178", "#ECB17A", "#ECB17C", "#ECB17E", "#ECB27F", "#ECB281", "#EDB283", "#EDB285", "#EDB387", "#EDB389", "#EDB38B", "#EDB48D", "#EDB48F", "#EDB591", "#EDB593", "#EDB694", "#EEB696", "#EEB798", "#EEB89A", "#EEB89C", "#EEB99E", "#EEBAA0", "#EEBAA2", "#EEBBA4", "#EEBCA6", "#EEBDA8", "#EFBEAA", "#EFBEAC", "#EFBFAD", "#EFC0AF", "#EFC1B1", "#EFC2B3", "#EFC3B5", "#EFC4B7", "#EFC5B9", "#EFC7BB", "#F0C8BD", "#F0C9BF", "#F0CAC1", "#F0CBC3", "#F0CDC5", "#F0CEC7", "#F0CFC9", "#F0D1CB", "#F0D2CD", "#F0D3CF", "#F1D5D1", "#F1D6D3", "#F1D8D5", "#F1D9D7", "#F1DBD8", "#F1DDDA", "#F1DEDC", "#F1E0DE", "#F1E2E0", "#F1E3E2", "#F2E5E4", "#F2E7E6", "#F2E9E8", "#F2EBEA", "#F2ECEC", "#F2EEEE", "#F2F0F0", "#F2F2F2"] //colors:["#006837", "#1a9850", "#66bd63", "#a6d96a", "#d9ef8b", "#ffffbf","#fee08b", "#fdae61", "#f46d43", "#d73027", "#a50026"] };
- 读取插值点数据源,动态构造 kriging.js 插值参数t,x, y值:
var i, j, k, n ; n = points.length; var t = Array(n); var x = Array(n); var y = Array(n); for(i = 0;i < n ; i++){ t[i] = points[i].attributes.TN_; x[i] = points[i].geometry.x; y[i] = points[i].geometry.y; var feature = new ol.Feature({ geometry: new ol.geom.Point(ol.proj.transform([x[i], y[i]], ‘EPSG:4326‘, ‘EPSG:4326‘)), value: t[i] }); feature.setStyle(new ol.style.Style({ image: new ol.style.Circle({ radius: 6, fill: new ol.style.Fill({color: "#00F"}) }) })); WFSVectorSource.addFeature(feature); }
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