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com.astrolabsoftware.spark3d.spatialOperator

SpatialQuery

Related Doc: package spatialOperator

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object SpatialQuery

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. def KNN[T <: Shape3D](queryObject: T, rdd: RDD[T], k: Int, unique: Boolean = false)(implicit arg0: ClassTag[T]): List[T]

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    Finds the K nearest neighbors of the query object.

    Finds the K nearest neighbors of the query object. The naive implementation here searches through all the the objects in the RDD to get the KNN. The nearness of the objects here is decided on the basis of the distance between their centers.

    queryObject

    object to which the knn are to be found

    rdd

    RDD of a Shape3D (Shape3DRDD)

    k

    number of nearest neighbors are to be found

    returns

    knn

  5. def KNNEfficient[A <: Shape3D, B <: Shape3D](queryObject: A, rdd: RDD[B], k: Int)(implicit arg0: ClassTag[A], arg1: ClassTag[B]): List[B]

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    Much more efficient implementation of the KNN query above.

    Much more efficient implementation of the KNN query above. First we seek the partitions in which the query object belongs and we will look for the knn only in those partitions. After this if the limit k is not satisfied, we keep looking similarly in the neighbors of the containing partitions.

    queryObject

    object to which the knn are to be found

    rdd

    RDD of a Shape3D (Shape3DRDD)

    k

    number of nearest neighbors are to be found

    returns

    knn

  6. final def asInstanceOf[T0]: T0

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  8. final def eq(arg0: AnyRef): Boolean

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  10. def finalize(): Unit

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  11. final def getClass(): Class[_]

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  13. final def isInstanceOf[T0]: Boolean

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  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  19. final def wait(): Unit

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  21. final def wait(arg0: Long): Unit

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