Table 1 Table presents several of the many significant correlations between the analyzed MAPS, pollution, and meteorological (MAPME) factors identified during the study.

From: Multimodal property video neuroanalytics

First variable

Data points under analysis

Second variable

Data points under analysis

r

p

Relative humidity

14 305

Weather temperature

14 305

0,956,206

1,72E + 90

NO2

34 302

SO2

18 168

0,934,518

2,21E + 76

Happy

68 042 071

Valence

68 027 772

0,884,026

1,04E + 56

Flow of people

1 402

NO2

34 302

0,802,405

4,68E + 39

CO

34 160

KD10

58 557

0,77,446

7,77E + 35

Angry

68 041 177

Valence

68 027 772

0,744,208

6,68E + 31

Average wind speed

14 305

Relative humidity

14 305

0,72,797

5,19E + 29

CO

34 160

SO2

18 168

0,72,176

2,53E + 28

Angry

68 041 177

Arousal

68 027 416

0,719,554

4,39E + 28

Arousal

68 027 416

Sad

68 041 561

0,717,834

6,73E + 28

Average wind speed

14 305

Weather temperature

14 305

0,711,792

2,94E + 27

Contempt

58 274 166

Sad

68 041 561

0,70,633

1,08E + 26

CO

34 160

NO2

34 302

0,702,673

2,54E + 26

Atmospheric pressure at the station level

14 305

NO2

34 302

0,69,364

1,98E + 25

Arousal

68 027 416

Neutral

68 049 206

0,690,831

3,70E + 25

Contempt

58 274 166

Neutral

68 049 206

0,686,955

8,64E + 25

CO

34 160

O3

10 588

0,686,255

1,01E + 24

Age

23 457 044

Contempt

58 274 166

0,685,758

1,12E + 24

Atmospheric pressure at the station level

14 305

SO2

18 168

0,665,693

7,26E + 23