data¶
- scalenav.data.centre_cell_to_square(h3_cell, neighbs)¶
If a centroid h3 index is known, return the square cover for a cell and grid_param
- Parameters:
h3_cell (str)
neighbs (list[tuple[int]])
- Return type:
list[str]
- scalenav.data.df_project_on_grid(data, res=11)¶
- scalenav.data.df_project_on_grid(data, res=11)
Project a geopandas.GeoDataFrame containing points on the H3 grid at a given resolution.
- Parameters:
data (a geopandas.GeoDataFrame with a geometry column containing points.)
res (a integer value of H3 resolution.)
- Return type:
The original data frame with a new column called h3_id ccontaining the H3 code for each geometry.
- scalenav.data.layer_constrain(layer, constraint)¶
Apply a constraint to a layer. Remove the constrained cells from the layer and rescale the values.
- Parameters:
layer ([<class 'pandas.core.frame.DataFrame'>, <class 'geopandas.geodataframe.GeoDataFrame'>])
constraint ([<class 'pandas.core.frame.DataFrame'>, <class 'pandas.core.series.Series'>])
- scalenav.data.pt_project_on_grid(lat, lon, res=11)¶
Get H3 index of lat,lon coordinates for a resolution. Simple wrapper around the H3.latlng_to_cell function.
- Parameters:
lat (float)
lon (float)
res (int)
- Return type:
DataFrame
- scalenav.data.rast_to_h3_map(x=0.0, y=51.51, ref='m', dist=0)¶
Allows adding a custom distance value for unusual grid shapes and specify if the raster cells are in projected or arc sizes.
- Parameters:
x (float)
y (float)
ref (str)
dist (float)
- scalenav.data.square_poly(lat, lon, distance=10000, ref='arc')¶
Make a square box with side size given in the distance parameter centered on the (lon,lat) point. The distance is expected to be in meters. The coordinates in degrees according to WGS:84.
- Parameters:
lat (float)
lon (float)
distance (int)
ref (str)
- Return type:
Polygon