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ropensci/hydroscoper

Name: hydroscoper

Owner: rOpenSci

Description: R interface to the Greek National Data Bank for Hydrometeorological Information

Created: 2017-12-13 08:33:53.0

Updated: 2018-03-17 16:12:44.0

Pushed: 2018-03-17 16:12:43.0

Homepage: https://ropensci.github.io/hydroscoper/

Size: 3078

Language: R

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README

hydroscoper

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hydroscoper is an R interface to the Greek National Data Bank for Hydrological and Meteorological Information, Hydroscope. For more details checkout the package's website and the vignettes:

An introduction to hydroscoper with details about the Hydroscope project and the package.
Using hydroscoper's data sets with a simple example of how to use the package's internal data sets.

Installation

Install the stable release from CRAN with:

all.packages("hydroscoper")

You can install the development version from GitHub with:

stall.packages("devtools")
ools::install_github("ropensci/hydroscoper")

Using hydroscoper

The functions that are provided by hydroscoper are:

get_stations, get_timeseries, ..., etc. family functions, to retrieve tibbles with Hydroscope's data for a given data source.
get_data, to retrieve a tibble with time series' values.
hydro_coords, to convert Hydroscope's points' raw format to a tibble.
hydro_translate to translate various terms and names from Greek to English.

The data sets that are provided by hydroscoper are:

stations a tibble with stations' data from Hydroscope.
timeseries a tibble with time series' data from Hydroscope.
greece_borders a tibble with the borders of Greece.

Example

This is a minimal example which shows how to get the station's 200200 precipitation time series 56 from the kyy sub-domain.

Load libraries and get data:

ary(hydroscoper)
ary(tibble)
ary(ggplot2)

aw <- get_data(subdomain = "kyy", time_id = 56)
aw
 A tibble: 147,519 x 3
  date                value comment
  <dttm>              <dbl> <chr>  
1 1985-05-06 08:00:00    0. 1      
2 1985-05-06 08:30:00    0. 1      
3 1985-05-06 09:00:00    0. 1      
4 1985-05-06 09:30:00    0. 1      
5 1985-05-06 10:00:00    0. 1      
6 1985-05-06 10:30:00    0. 1      
7 1985-05-06 11:00:00    0. 1      
8 1985-05-06 11:30:00    0. 1      
9 1985-05-06 12:00:00    0. 1      
0 1985-05-06 12:30:00    0. 1      
 ... with 147,509 more rows

Let's create a plot:

ot(data = ts_raw, aes(x = date, y = value))+
om_line()+
bs(title= "30 min precipitation for station 200200",
   x="Date", y = "Rain height (mm)")+
eme_classic()

References

Hydroscope

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This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.