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Fig 1.

Urban activity taxonomy.

Top-level categories are in the inner circle; second-level categories, when available, are in the outer ring; and examples of words are in the outermost ring. Best seen in color.

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Fig 1 Expand

Table 1.

Typical indoor and outdoor activities derived from tags automatically generated by Flickr’s computer vision algorithms.

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Table 1 Expand

Table 2.

Dataset statistics for Flickr photos.

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Table 2 Expand

Fig 2.

Correlations between the fraction of indoor activities (in the row) and smell categories at the level of census area in London.

All correlations are statistically significant with p < 0.01.

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Fig 2 Expand

Fig 3.

Correlations between the fraction of indoor activities (in the row) and sound categories at the level of census area in London.

All correlations are statistically significant with p < 0.01.

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Fig 4.

Correlations between the fraction of certain indoor activities in London (in the row) and emotions at the level of census area.

All correlations are statistically significant with p < 0.01 (e.g., the emotion disgust was not significant).

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Fig 4 Expand

Fig 5.

Rank correlations between activities and presence of urban amenities as recorded by Open Street Map.

The amenity with the highest correlation for each activity is shown.

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Fig 6.

Correlations between the fraction of indoor activities (in the row) and socio-economic conditions at the level of Super Lower Output Area (LSOA) in London.

All correlations are statistically significant with p < 0.01.

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Fig 6 Expand

Fig 7.

Correlations between the fraction of indoor activities (in the row) and socio-economic conditions at the level of census tract in New York City.

All correlations are statistically significant with p < 0.01.

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Fig 7 Expand

Fig 8.

Correlations between activity diversity and socio-economic conditions at the level of of Super Lower Output Area (LSOA) in London.

All correlations are statistically significant with p < 0.01.

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Fig 8 Expand

Fig 9.

Correlations between activity diversity and socio-economic conditions at the level of of census tract in New York City.

All correlations are statistically significant with p < 0.01.

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Fig 9 Expand

Fig 10.

Maps of activity diversity D at each LSOA in London.

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Fig 10 Expand

Fig 11.

Maps of activity diversity D at each census tract in New York city.

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