GeoEco.Datasets.Virtual

Grids and DatasetCollections that transform Grids and DatasetCollections, lazily if possible.

Classes

`AggregateGrid`	A `Grid` built by statistically summarizing a list of `Grid`s on a per-cell basis.
`BlockStatisticGrid`	A `Grid` representing a block statistic computed over another `Grid`.
`CannyEdgeGrid`	A `Grid` that represents the edges in another `Grid` using the Canny edge detection algorithm..
`ClimatologicalGridCollection`	A `DatasetCollection` that summarizes a 3D or 4D `Grid` across time into a collection of 2D or 3D `Grid`s representing aggregate values.
`ClippedGrid`	A `Grid` that trims a `Grid` to a smaller spatiotemporal extent.
`FastMarchingDistanceGrid`	A `Grid` representing distances to features in another `Grid`, computed with a fast marching algorithm.
`DerivedGrid`	A `Grid` that that derives its values from other `Grid`s with a function you provide.
`GridSlice`	A `Grid` representing a time or depth slice of a 3D or 4D `Grid`.
`GridSliceCollection`	A `DatasetCollection` of `Grid`s representing the 2D slices of a 3D or 4D `Grid` (or 3D slices of a 4D `Grid`).
`InpaintedGrid`	A `Grid` that fills missing (NoData) values in another `Grid` using a partial differential equation method.
`MaskedGrid`	A `Grid` that sets cells of another `Grid` to NoData according to one or more `Grid`s representing masks.
`MemoryCachedGrid`	A `Grid` that wraps another `Grid`, caching blocks of it in memory to facilitate fast repeated retrievals.
`RotatedGlobalGrid`	A `Grid` that rotates a `Grid` longitudinally.
`SeafloorGrid`	A `Grid` that extracts the deepest available values of a `Grid` that has a z (depth) dimension, yielding a single layer representing values at the seafloor.
`TimeSeriesGridStack`	A `Grid` built by stacking a set of 2D (yx) or 3D (zyx) Grids queried from a `DatasetCollection`.
`WindFetchGrid`	A `Grid` representing mean distance to NoData cells in a land/water `Grid` over a range of directions.