dggrid4py.DGGRIDv7

Deprecated since version 0.6.0: The DGGRIDv7 class is deprecated and will be removed in a future version. Use dggrid4py.DGGRIDv8 with DGGRID 8.42 or newer; it accepts the former address type names (e.g. Z7_STRING) with a DeprecationWarning, see IGEO7.

class dggrid4py.DGGRIDv7(*args, **kwargs)

Parameter handling for DGGRID 7.

Deprecated since version 0.6.0: Use DGGRIDv8 with DGGRID 8.42 or newer. The address types of this class (e.g. Z7_STRING) and its clipping by sequence numbers are removed in DGGRID 9. DGGRIDv8 maps the former address type names with a DeprecationWarning. This class will be removed in a future version.

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
is_runnable()
check_gdal_support()
post_process_split_dateline(gdf)
run(dggs_meta_ops)
grid_cell_polygons_for_extent(dggs_type, ...)	generates a DGGS grid and returns all the cells as GeoDataFrame with geometry type Polygon
grid_cell_centroids_for_extent(dggs_type, ...)	generates a DGGS grid and returns all the cell's centroid as GeoDataFrame with geometry type Point
grid_cell_polygons_from_cellids(...[, ...])	generates a DGGS grid and returns all the cells as GeoDataFrame with geometry type Polygon
grid_cell_centroids_from_cellids(...[, ...])	generates a DGGS grid and returns all the cell's centroid as GeoDataFrame with geometry type Point
grid_cellids_for_extent(dggs_type, resolution)	generates a DGGS grid and returns all the cellids as a pandas dataframe
cells_for_geo_points(geodf_points_wgs84, ...)	takes a GeoDataFrame with point geometry and optional additional value columns and returns:
grid_stats_table(dggs_type, resolution[, ...])	generates the area and cell statistics for the given DGGS from resolution 0 to the given resolution of the DGGS
dgapi_grid_gen(dggs, subset_conf, output_conf)	Grid Generation.
dgapi_grid_stats(dggs)	Output Grid Statistics.
dgapi_grid_transform(dggs, subset_conf, ...)	Address Conversion.
dgapi_point_value_binning(dggs, subset_conf, ...)	Point Value Binning.
dgapi_pres_binning(dggs, subset_conf, ...)	Presence/Absence Binning.
cells_for_geo_points(geodf_points_wgs84, ...)	takes a GeoDataFrame with point geometry and optional additional value columns and returns:
address_transform(cell_id_list, dggs_type, ...)	generates the DGGS for the input cell_ids and returns all the transformed cell_ids cell_id_list is a list/numpy array, takes this list as seqnums ids (potentially also Z3, Z7, or ZORDER) the columns of the returned DataFrame are named after the given input and output address types