Results: 3

1.
Figure 2

Figure 2. From: Improving estimates of air pollution exposure through ubiquitous sensing technologies.

Details of one day of activity for one participant.

Audrey de Nazelle, et al. Environ Pollut. 2013 May;176:92-99.
2.
Figure 1

Figure 1. From: Improving estimates of air pollution exposure through ubiquitous sensing technologies.

Selected 31 days of CalFit data (circles represent GPS tracking of participants, color intensity represent energy intensity); background shading is NO2 concentration.

Audrey de Nazelle, et al. Environ Pollut. 2013 May;176:92-99.
3.
Figure 3

Figure 3. From: Improving estimates of air pollution exposure through ubiquitous sensing technologies.

(A) Time spent in activity spaces; (B) NO2 concentration in activity spaces, derived from fully adjusted model (temporal and microenvironmental factors); (C) Percent contribution from different activity spaces to total time-weighted average NO2 concentration, using concentrations from fully adjusted model (temporal and microenvironmental factors); (D) Percent contribution to total NO2 daily inhaled dose from different activities, using concentrations from fully adjusted model (temporal and microenvironmental factors).

Audrey de Nazelle, et al. Environ Pollut. 2013 May;176:92-99.

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