create_voronoi: Creation of Voronoi polygons based on DWD-stations

In PhilippBuehler/FloodR: Separation and typing of flood events and typewise staistical return periods (TMPS)

Creation of Voronoi polygons based on DWD-stations

Description

For the region in question, Voronoi polygons are created based on coordinates of DWD-stations in and surrounding the region. For every day, they are created anew to consider every change in data availability.

Usage

create_voronoi(
  stations,
  z,
  Days,
  Station_list,
  limits_voronoi,
  coordinates,
  YY,
  All_Days,
  Area
)

Arguments

stations	A dataframe containing TRUE or FALSE values for every day and every DWD-station. If the station has registered a value, there is a "TRUE", otherwise there is a "FALSE".
z	A number that indicates the timestep of the year considered. If the data is interpolated for the years from 1900 to 2015, z <- 1 indicates the year 1900.
Days	An array containig the date of every day of the year considered.
Station_list	A dataframe containing the relevant DWD-stations' IDs, eastings, northings and heights. The Station-IDs must consist of 5 digits. If the ID is shorter than that it must be filled with zeros as leading digits. The column names must be "Stations_id", "Easting", "Northing" and "Height".
limits_voronoi	A vector containing the minimal and maximal eastings and northings of the DWD-stations and the region in question.
coordinates	A dataframe containing every subdomain's coordinates. The column names must be "Easting_gridcode" and "Northing_gridcode" ("gridcode" must be replaced with the actual gridcode). Missing values indicated by NA-values are omitted during the procedure.
YY	An array containing all considered years.
All_Days	A sequence containing the date for every day within the period for which the Voronoi polygons are created.The days' format must be "Y-m-d".
Area	A dataframe containing all subdomain's names, gridcodes and heights. The column names must be "names", "gridcode" and "height".

Value

A list with the following entries:

names_over_all_days	A list containing as many dataframes as there are subdomains. Every dataframe contains the relevant DWD-stations for the considered subdomain and the year in question.
D	A three-dimensional array containing every DWD-station's share for every day and every subdomain.

Author(s)

Laura Haendel

PhilippBuehler/FloodR documentation built on March 2, 2024, 9:53 a.m.