driver The name of the GDAL driver used to handle the input file. For GDALRasters created from a file, the driver type is detected automatically. The creation of rasters from scratch is a in-memory raster by default ('MEM'), but can be altered as needed. For instance, use GTiff for a GeoTiff file. For a list of file types, see also the GDAL Raster Formats list. An in-memory raster is created through the following example: >>> GDALRaster({'width': 10, 'height': 10, 'srid': 4326}).dri

geotransform The affine transformation matrix used to georeference the source, as a tuple of six coefficients which map pixel/line coordinates into georeferenced space using the following relationship: Xgeo = GT(0) + Xpixel*GT(1) + Yline*GT(2) Ygeo = GT(3) + Xpixel*GT(4) + Yline*GT(5) The same values can be retrieved by accessing the origin (indices 0 and 3), scale (indices 1 and 5) and skew (indices 2 and 4) properties. The default is [0.0, 1.0, 0.0, 0.0, 0.0, -1.0]. >>> rst = GDA

extent Extent (boundary values) of the raster source, as a 4-tuple (xmin, ymin, xmax, ymax) in the spatial reference system of the source. >>> rst = GDALRaster({'width': 10, 'height': 20, 'srid': 4326}) >>> rst.extent (0.0, -20.0, 10.0, 0.0) >>> rst.origin.x = 100 >>> rst.extent (100.0, -20.0, 110.0, 0.0)

width The width of the band in pixels (X-axis).

class GDALRaster(ds_input, write=False) The constructor for GDALRaster accepts two parameters. The first parameter defines the raster source, it is either a path to a file or spatial data with values defining the properties of a new raster (such as size and name). If the input is a file path, the second parameter specifies if the raster should be opened with write access. If the input is raw data, the parameters width, height, and srid are required. The following example shows how rasters ca

bands List of all bands of the source, as GDALBand instances. >>> rst = GDALRaster({"width": 1, "height": 2, 'srid': 4326, ... "bands": [{"data": [0, 1]}, {"data": [2, 3]}]}) >>> len(rst.bands) 2 >>> rst.bands[1].data() array([[ 2., 3.]], dtype=float32)

std New in Django 1.10. The standard deviation of all pixel values of the band (excluding the “no data” value).

nodata_value The “no data” value for a band is generally a special marker value used to mark pixels that are not valid data. Such pixels should generally not be displayed, nor contribute to analysis operations. To delete an existing “no data” value, set this property to None (requires GDAL ≥ 2.1). Changed in Django 1.9: This property can now be set as well. Changed in Django 1.10: The “no data” value can now be deleted by setting the nodata_value attribute to None.

min The minimum pixel value of the band (excluding the “no data” value).

pixel_count New in Django 1.9. The total number of pixels in this band. Is equal to width * height.