IIS CROCEALERAMO : Installation of the Weather Station and gathering of data

IIS CROCEALERAMO : Installation of the Weather Station and gathering of data

The weather control unit installed / The students are checking the functioning of the weather control unit with the Maths teacher, Mr Andrea Morlino

In the Science lab, Mr Morlino and the Earth Science teacher Mr Cannavale are
guiding the students through the analysis of the data being collected from the computer connected to the weather control unit.
In the IT lab, graphs about monitoring the changing data have been displayed and students are discussing about the collected material and date in a cooperative session.
An example of the work in progress by our students in the IT lab

In the IT lab, students are working on the realization of graphs to monitor the climate situation under the guidance of teacher Andrea Morlino

The correlation coefficient in brief:
Negative slopes: one size increases while the other decreases / No proportionality / Positive slopes: both sizes are augmented

A slight directly proportional correlation is outlined, that is, as the barometric pressure increases or decreases, minimal decreases and increases in PM10 are detected.

Average direct correlation (Pressure) / Low inverse correlation (Wind) / Average inverse correlation (Rain) / ATMOSPHERIC FACTORS (Correlation / Quality) / POSITIVE SLOPE / NEGATIVE SLOPE / Low inverse correlation (Temperature) / Low inverse correlation (Humidity)

ATMOSPHERIC PHENOMENA AND POLLUTANTS
The term air pollution means the presence in the air of substances that modify the natural composition of the earth’s atmosphere: 78% nitrogen, 21% oxygen and 1% argon and “trace gas”, which also include all the so-called “pollutants”.
Once released into the atmosphere, the pollutants are subject to dispersion, transport and chemical transformation
phenomena. For this reason, the concentration of pollutants in the air changes considerably over time and space.

However, does a connection between atmospheric phenomena and pollutants exist?
AVAILABLE DATA

CLIMATE CONTROL UNIT AT I.I.S. CROCE-ALERAMO DETECTIONS BY ARPALAZIO
HOW TO CHECK THE CORRELATION OF THE AVAILABLE DATA?
Utilising the CORRELATION COEFFICIENT
.
What is the correlation coefficient?
The correlation coefficient is a specific measure used in correlation analysis to quantify the strength of the linear relationship
between two variables. In the reports, this coefficient is indicated with the letter r.

What do the correlation coefficient values mean?
The correlation coefficient r is a value with no unit of measurement and goes from -1 to 1. The closer r approaches zero, the weaker the linear correlation is.
• A positive r-value indicates a positive correlation, in which the values of the two variables tend to increase in parallel.
• A negative r-value indicates a negative correlation, in which the value of one variable tends to increase as the other decreases.
• The values 1 and -1 represent “perfect” correlations, one positive and one negative. Two perfectly correlated variables mutate
together at a fixed rate. In this case, they are said to have a linear relationship because, when placed in a scatter chart, all the
data points can be connected to each other via a straight line.

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