BD_Obs: Observed Data from Ground Stations

In InterpolateR: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation

Observed Data from Ground Stations

Description

A dataset containing daily precipitation observations from multiple ground stations.

Usage

data(BD_Obs)

Format

A data.table or data.frame with n rows (dates) and m+1 columns (stations + Date):

• Date: A Date object representing the observation date.

• STxxx: Numeric values representing observed precipitation measurements for each station, where STxxx is the unique station identifier.

Details

The dataset follows the structure:

    > BD_Obs
    # A data.table or data.frame with n rows (dates) and m+1 columns (stations + Date)
       Date        ST001  ST002  ST003  ST004  ...
       <date>      <dbl>  <dbl>  <dbl>  <dbl>  ...
    1  2015-01-01    0      0      0      0    ...
    2  2015-01-02    0      0      0     0.2   ...
    3  2015-01-03   0.1     0      0     0.1   ...
  

- Each station column contains numeric values representing observed measurements. - The column names (station identifiers) must be unique and match those in BD_Coord$Cod to ensure proper spatial referencing.

See Also

BD_Coord for station metadata.

Examples

  # Load dataset
  data(BD_Obs)

  # Check structure
  str(BD_Obs)

  # Display first rows
  head(BD_Obs)

InterpolateR documentation built on Sept. 9, 2025, 5:59 p.m.