Tile Grid Systems¶

TileGrid¶

`TileGrid`(ul, crs, res, size[, limits, name])	A tile grid specification for gridding data
`load_grids`([filename])	Retrieve tile grid specifications from a YAML file

`TileGrid.ul`
`TileGrid.crs`
`TileGrid.res`
`TileGrid.size`
`TileGrid.limits`
`TileGrid.name`
`TileGrid.rows`	the vertical/row numbers for all tiles
`TileGrid.cols`	the horizontal/column numbers for all tiles
`TileGrid.nrow`	the number of rows in the TileGrid
`TileGrid.ncol`	the number of columns in the TileGrid
`TileGrid.transform`	the affine transform for this TileGrid

Methods for finding Tiles that intersect with your geospatial data.

`TileGrid.point_to_tile`(self, point)	Return a Tile containing a given point (x, y)
`TileGrid.bounds_to_tiles`(self, bounds)	Yield Tile objects for this grid within a given bounds
`TileGrid.roi_to_tiles`(self, roi)	Yield tiles within a Region of Interest (ROI) `shapely` geometry

`TileGrid.to_dict`(self)	Return this TileGrid as a dictionary (e.g., to serialize)
`TileGrid.from_dict`(d)	Return a `TileGrid` from a dictionary
`TileGrid.geojson`(self[, crs, rows, cols, …])	Returns this grid of tiles as GeoJSON

You can grab Tile from the TileGrid by indexing the row and column (or vertical, horizontal) as you would a dict.

`TileGrid.__getitem__`(self, index)	Return a Tile for the grid row/column specified by index
`TileGrid.__len__`(self)
`TileGrid.__iter__`(self)

`Tile.index`
`Tile.crs`
`Tile.bounds`
`Tile.res`
`Tile.size`
`Tile.bbox`	This tile’s bounding box geometry
`Tile.vertical`	The horizontal index of this tile in its tile specification
`Tile.horizontal`	The horizontal index of this tile in its tile specification
`Tile.width`	The number of columns in this Tile
`Tile.height`	The number of columns in this Tile
`Tile.transform`	The `Affine` transform for the tile

`Tile.coords`(self[, center])	Return y/x pixel coordinates
`Tile.geojson`(self[, crs])	Return this Tile’s geometry as GeoJSON