RVGeo 2.0.9 改动说明

• demo: https://pzq123456.github.io/RVGeo/dist/index.html
• docs: this site

• 2024.3.28 12:27:00 UTC + 08:00 该版本调整了项目结构，部分接口发生变化（降级或移除）。

• 降级：所有方法内指定 unit 单位的功能均不再支持，默认单位为米。在 math 模块下仍保留原来的单位换算方法，可以直接调用。主要目的是维护全局坐标系统一，原先的写法会默认带入 km、m 的混合问题。
• 重构：
  • Geometry 模块的所有代码均已重构，类中接口有部分改动，类继承关系完全改变。
    • 需要注意的是，不再有 toArray 方法，现在可以直接（只读）获取符合 GeoJSON 标准的 coordinates 。具体改动可以参考源代码。
    • toXYArray 方法也都改名为 toXY 。这样做可以更好地统一独立geometry 与 multigeometry 之间的语意。
• 功能增强：
  • Topology 模块直接复制并修改 TopoJSON 代码库（将其由 js 转化为了 TypeScript），现在你可以将 GeoJSON 格式的数据转化为 TopoJSON，并调用一些诸如 merge、mesh 等方法来操纵它。（详细用法请参考 TopoJSON Client）
  • Geo 模块：参考 leaflet 为每一种投影及坐标系实现一个 object ，这样可以更好地管理多种坐标系。（当前仍然只有 wgs84 的投影与反投影）这也就意味着，原先的 plane2Wgs84 及其逆方法 Wgs842Plane 被移除。现在你需要指定某一投影实体 object，譬如 SphereMercator.project() 或 SphereMercator.unproject() 来达到同样的功能。

origonal RVGeo Welcom Page

Release Notes

2023-11-12 V2.0.7

new function for Class Grid : Grid.fillInvalidValue(bandIndex);

• This function can replace the "invalid value" in given band with the mean value.
• The so called values are now: -99999, 0. (may the 0 makes no sense and this function will uograde in the future)

• 新增 RGB 三通道遥感影像渲染，指定渲染通道对应的波段即可实现真彩色、标准假彩色等遥感影像的渲染。

• Add RGB three-channel remote sensing image rendering, specify the band corresponding to the rendering channel to achieve the rendering of true color, standard false color and other remote sensing images.

• 新增影像直方图，正在测试中，仅供参考。

2023-11-12 V2.0.6

• 新增影像金字塔（Example14） 图像傅里叶变换（Example15）
• New image pyramid (Example14) image Fourier transform (Example15)
• You can use RVGeo.Coverage.subdivide2QTree to get the image pyramid, and use RVGeo.Renderer.drawQTree2d to draw the image pyramid.

  const subdivide2QTree = RVGeo.Coverage.subdivide2QTree;
  const Grid = RVGeo.Coverage.Grid;
  const drawQTree2d = RVGeo.Renderer.drawQTree2d;
  const drawGrid2d = RVGeo.Renderer.drawGrid2d;
  let mySimpleColorBand = RVGeo.Colors.simpleColorBandFactory(RVGeo.Colors.stretchType.linear);
  axios.get('dem.csv').then((res)=>{
  let data = parseData(res.data);
  let grid = new Grid(myMBR1,[data]);
  let subgrid = subdivide2QTree(grid,10); // 10 为金字塔层数
  drawQTree2d(canvas,{x: 0, y: 0, w: 1024, h: 1024},subgrid,grid,mySimpleColorBand)
  drawGrid2d(canvas, data, {x: 1024, y: 0, w: 1024, h: 1024}, grid.getBandStatistics(0), mySimpleColorBand);
  });

• You can use the following code segment to test 1D FFT and visualize the result.

  const subdivide2QTree = RVGeo.Coverage.subdivide2QTree;
  const Grid = RVGeo.Coverage.Grid;
  const drawQTree2d = RVGeo.Renderer.drawQTree2d;
  const drawGrid2d = RVGeo.Renderer.drawGrid2d;
  let mySimpleColorBand = RVGeo.Colors.simpleColorBandFactory(RVGeo.Colors.stretchType.linear);
  axios.get('dem.csv').then((res)=>{
  let data = parseData(res.data);
  let grid = new Grid(myMBR1,[data]);
  let subgrid = subdivide2QTree(grid,10);
  drawQTree2d(canvas,{x: 0, y: 0, w: 1024, h: 1024},subgrid,grid,mySimpleColorBand)
  drawGrid2d(canvas, data, {x: 1024, y: 0, w: 1024, h: 1024}, grid.getBandStatistics(0), mySimpleColorBand);
  });

• You can use the following code segment to test 2D FFT and visualize the result.

    const subdivide2QTree = RVGeo.Coverage.subdivide2QTree;
    const Grid = RVGeo.Coverage.Grid;
    const drawQTree2d = RVGeo.Renderer.drawQTree2d;
    const drawGrid2d = RVGeo.Renderer.drawGrid2d;
    let mySimpleColorBand = RVGeo.Colors.simpleColorBandFactory(RVGeo.Colors.stretchType.linear);
    axios.get('dem.csv').then((res)=>{
    let data = parseData(res.data);
    let grid = new Grid(myMBR1,[data]);
    let subgrid = subdivide2QTree(grid,10);
    drawQTree2d(canvas,{x: 0, y: 0, w: 1024, h: 1024},subgrid,grid,mySimpleColorBand)
    drawGrid2d(canvas, data, {x: 1024, y: 0, w: 1024, h: 1024}, grid.getBandStatistics(0), mySimpleColorBand);
    });

2023-11-4 V2.0.5

• 新增等值线计算与渲染（基于 Marching Squares 方法）
• Contour calculation and rendering (based on Marching Squares method)
• You can use RVGeo.Renderer.drawCountour to draw contour lines, after you get the contour code from RVGeo.Coverage.Grid.getCoutourCode

  const drawCountour = RVGeo.Renderer.drawCountour;

  axios.get('dem.csv').then((res)=>{
    let data = parseData(res.data);
    let grid = new RVGeo.Coverage.Grid(myMBR1,[data]);
    let countour1 = grid.getCoutourCode(0,0.6);
    drawCountour(canvas, countour1, {x: 0, y: 0, w: 1024, h: 1024},"red");
  })

2023-11-2 V2.0.4

• 栅格数据新增伪彩色渲染器
• New pseudocolor renderer for raster data
• 噪声模块新增三维 sin 函数噪声、三维柏林噪声及三维阻尼 sin 函数噪声
• New 3D sin noise, 3D Perlin noise and 3D damped sin noise in noise module