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geotrellis.spark.ingest

Ingest

Related Doc: package ingest

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object Ingest

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  4. def apply[T, K](sourceTiles: RDD[(T, Tile)], destCRS: CRS, layoutScheme: LayoutScheme, pyramid: Boolean = false, cacheLevel: StorageLevel = StorageLevel.NONE, resampleMethod: ResampleMethod = NearestNeighbor, partitioner: Option[Partitioner] = None, bufferSize: Option[Int] = None, maxZoom: Option[Int] = None, tileSize: Option[Int] = None)(sink: (TileLayerRDD[K], Int) ⇒ Unit)(implicit arg0: ClassTag[T], arg1: (T) ⇒ TilerKeyMethods[T, K], arg2: Component[T, ProjectedExtent], arg3: SpatialComponent[K], arg4: Boundable[K], arg5: ClassTag[K]): Unit

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    Represents the ingest process.

    Represents the ingest process. An ingest process produces a layer from a set of input rasters.

    The ingest process has the following steps:

    • Reproject tiles to the desired CRS: (CRS, RDD[(Extent, CRS), Tile)]) -> RDD[(Extent, Tile)]
    • Determine the appropriate layer meta data for the layer. (CRS, LayoutScheme, RDD[(Extent, Tile)]) -> LayerMetadata)
    • Resample the rasters into the desired tile format. RDD[(Extent, Tile)] => TileLayerRDD[K]
    • Optionally pyramid to top zoom level, calling sink at each level

    Ingesting is abstracted over the following variants:

    • The source of the input tiles, which are represented as an RDD of (T, Tile) tuples, where T: Component[?, ProjectedExtent]
    • The LayoutScheme which will be used to determine how to retile the input tiles.
    T

    type of input tile key

    K

    type of output tile key, must have SpatialComponent

    sourceTiles

    RDD of tiles that have Extent and CRS

    destCRS

    CRS to be used by the output layer

    layoutScheme

    LayoutScheme to be used by output layer

    pyramid

    Pyramid up to level 1, sink function will be called for each level

    cacheLevel

    Storage level to use for RDD caching

    sink

    function that utilize the result of the ingest, assumed to force materialization of the RDD

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