栅格数据的缓冲区分析主要可以分成两种，一种是先将矢量数据做缓冲区之后进行栅格化，另一种是直接将栅格数据进行缓冲区分析。下面是这两种方式的代码：

将矢量数据先进行buffer再栅格化：

def bufferPoints(): Unit ={
    val extent:Extent =  Extent(0, 0, 80, 80)
    val re =RasterExtent(extent, 100, 100)
    val points = Seq(
      Point(30,30).buffer(3),
      Point(20,20).buffer(3),
      Point(24,25).buffer(3),
      Point(15,20).buffer(3))
    val rpts:Tile = Rasterizer.rasterizeWithValue(points,re, 0x55)
    rpts.renderPng(colorMap1).write("D:\\IdeaProjects\\ScalaDemo\\data\\buffer\\buffer_point.tif")
  }
先栅格化之后再对栅格数据进行buffer：

def bufferTiles(): Unit ={
    val featureRDD :RDD[Geometry]= sc.parallelize(points)
    val extent:Extent = Extent(0, 0, 80, 80)
    val tl = TileLayout(10,10,10,10)
    val layout = LayoutDefinition(extent, tl)
    val celltype:CellType=IntCellType
    val tilesRDD : RDD[(SpatialKey, Tile)] with Metadata[LayoutDefinition] = featureRDD.rasterize(35, celltype, layout)
    val neighborhood = Square(3)
    tilesRDD.bufferTiles(neighborhood.extent)
    val tileResult = tilesRDD.collect()
    for(tile <- tileResult){

    }
    val stitched = TileLayoutStitcher.stitch(tileResult)._1
    stitched.renderPng(colorMap1).write("D:\\IdeaProjects\\ScalaDemo\\data\\buffer\\buffer_tile.tif")
  }

奈斯，优秀