damagescanner.vector

Module Contents

Functions

match_raster_to_vector(hazard, landuse, lu_crs, ...)	Matches the resolution and extent of a raster to a vector file.
remove_overlap_openstreetmap(gdf)	Function to remove overlap in polygons in from OpenStreetMap.
extract_value_other_gdf(x, gdf, col_name)	Function to extract value from column from other GeoDataFrame
reproject(df_ds[, current_crs, approximate_crs])	Function to reproject a GeoDataFrame to a different CRS.
get_damage_per_object(obj, df_ds, objects, curves, maxdam)	"

damagescanner.vector.match_raster_to_vector(hazard, landuse, lu_crs, haz_crs, resolution, hazard_col)

Matches the resolution and extent of a raster to a vector file.

Arguments:

hazard : netCDF4 with hazard intensity per grid cell. landuse : netCDF4 with land-use information per grid cell. lu_crs : EPSG code of the land-use file. haz_crs : EPSG code of the hazard file. resolution : Desired resolution of the raster file. hazard_col : Name of the column in the hazard file that contains the hazard intensity.

Returns:

hazard : DataSet with hazard intensity per grid cell.

landuse : DataSet with land-use information per grid cell.

damagescanner.vector.remove_overlap_openstreetmap(gdf)

Function to remove overlap in polygons in from OpenStreetMap.

Arguments:

gdf : a geopandas GeoDataFrame with all unique railway linestrings.

Returns:

GeoDataFrame : a geopandas GeoDataFrame with (almost) non-overlapping polygons.

damagescanner.vector.extract_value_other_gdf(x, gdf, col_name)

Function to extract value from column from other GeoDataFrame

Arguments:

x : row of main GeoDataFrame.

gdf : geopandas GeoDataFrame from which we want to extract values.

col_name : the column name from which we want to get the value.

damagescanner.vector.reproject(df_ds, current_crs='epsg:4326', approximate_crs='epsg:3035')

Function to reproject a GeoDataFrame to a different CRS.

Args:

df_ds (pandas DataFrame): _description_ current_crs (str, optional): _description_. Defaults to “epsg:4326”. approximate_crs (str, optional): _description_. Defaults to “epsg:3035”.

Returns:

_type_: _description_

damagescanner.vector.get_damage_per_object(obj, df_ds, objects, curves, maxdam)

” Function to calculate the damage per object.

Args:

obj (tuple): The object for which we want to calculate the damage. df_ds (pandas DataFrame): The dataframe with the hazard points. objects (pandas DataFrame): The dataframe with the objects. curves (pandas DataFrame): The dataframe with the vulnerability curves. maxdam (dictionary): The dictionary with the maximum damage per object type.

Returns:

tuple: The damage per object.