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Second edition: August - October 2019



Data visualization contest with R: second edition





ACTUALIZATION (17 September 2019): 'Granja' data has been updated.



Descargar datos Data from Cañizal

Descargar datos Data from Carrizal

Descargar datos Data from Granja








About the data:

The database for the second Data Visualization Contest with R consists of data retrieved over a period of ten years, in ten-minute intervals, and which have been registered in three automated weather stations. These stations belong to the Soil Moisture Network of the University of Salamanca (REMEDHUS), integrated in the International Soil Moisture Network (ISMN). The infrastructure belongs to the Research Group in Water Resources of the University of Salamanca (HIDRUS), attached to the Spanish-Portuguese Agricultural Research Centre (CIALE), and it is located in the province of Zamora (Southeast Spain).

Variables:

  1. Timestamp: Date and hour of the measurement.

  2. Total precipitation: amount of precipitation accumulated in the measured period of time (10 minutes), expressed in millimeters (mm).

  3. Maximum wind speed: maximum speed value recorded at a given time, in the measured period of time (10 minutes). It is expressed in meters per second (m/s).

  4. Average wind speed: average of the wind speed in the measured period of time (10 minutes). It is expressed in meters per second (m/s).

  5. Average wind direction: in the measured period of time (10 minutes), mean value of the wind direction, expressed in degrees (clockwise from north).

  6. Standard deviation of the wind direction: standard deviation of the previous variable. It is also expressed in degrees (clockwise from north).

  7. Air temperature: average of the air temperature in the measured period of time (10 minutes), expressed in the Celsius scale (⁰C).

  8. Average vapor pressure: average of the humidity found in the air in the measured period of time (10 minutes), expressed in terms of vapor pressure. This is the amount of pressure with which the water vapor contributes to the atmospheric pressure. It is expressed in kilopascals (kPa).

  9. Average vapor-pressure deficit: average, in the measured period of time (10 minutes), of the difference between the saturated vapor pressure and the actual vapor pressure present in the air. In other words, it measures the dryness of the air. Thus, when this value is high, there is little water vapor in the air; it is far from the saturation point. This translates as the atmosphere demanding water and the plants reducing their photosynthetic activity – closing their stomata – in order to avoid losing water. It is expressed in kilopascals (kPa).

  10. Average relative humidity: average, in the measured period of time (10 minutes), of the percentage of the humidity of the air, regarding its saturation point. It is the result of dividing the humidity of the air between the saturation humidity at that same temperature. It is expressed as a percentage (%).

  11. Average solar radiation: average, in the measured period of time (10 minutes), of the amount of energy received from the Sun or, in other words, the incident energy that reaches the surface of the Earth. It is expressed in watts per square meter (W/m2).

  12. Total (cumulative) radiation: solar radiation accumulated in the measured period of time (10 minutes). It is expressed in megajoules per square meter (MJ/m2).

  13. Latitude&longitude: Station latitude and longitude.








About the contest:

1. During August 2019, the database base will be made publicly available at https://rusersasturias.github.io/contest/ and in the repository. Anybody will be able to participate sending a plot made with R software.

2. Project presentation will take place between the day the data is published and 11:59 PM on October 31st, 2019, sending an e-mail to grupousuariosrasturias@gmail.com with the visualization or the url to it, in the prefered format. Name, surname, e-mail, professional/laboral background and country of residence will be specified in the e-mail.
The subject of the e-mail must include "Second data visualization contest". A very brief explanatory text in english, can be attached to the graphic.

3. The jury will issue its opinion on November, 2019. The declaration will be made public on the site of the contest, and the winner will be notified by e-mail.

4. The price amount is four hundred euros (400 €) for the first prize and two hundred euros (200 €) for the second prize.

5. Contest's bases can be accesed in this website.








The first edition winner has been Antonio Díaz Muñiz, with this participation: https://adiaz.shinyapps.io/infractionmap/






Rules of the contest

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