Journal: Nature Communications

Article Title: Citizens’ smartphones unravel earthquake shaking in urban areas

doi: 10.1038/s41467-025-64543-3

Figure Lengend Snippet: Location of 29 seismological stations and 8151 citizens’ smartphones participating in the Earthquake Network (EQN) citizen science initiative on 8 June 2024 in the red zone of Campi Flegrei. The EQN smartphone network is high density and covers areas of the red zone where no stations are installed. This allows the variability of the ground shaking to be captured at a higher spatial resolution over the entire red zone. Map was generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a) with map layer World Topographic Map of Esri®.

Article Snippet: Maps were generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a).

Techniques: Generated

Journal: Nature Communications

Article Title: Citizens’ smartphones unravel earthquake shaking in urban areas

doi: 10.1038/s41467-025-64543-3

Figure Lengend Snippet: The figure shows the station peak ground acceleration measurements (triangles) and the peak smartphone acceleration measurements (circles) for the four earthquakes used to derive the amplification map of Fig. (accelerations are on natural logarithmic scale). a Md3.9, 27 April 2024 03:44:56 UTC (INGV ID 38381891). b Md3.9, 20 May 2024 19:46:14 UTC (INGV ID 38762031). c Md3.6, 22 May 2024 06:28:00 UTC (INGV ID 38797691). d M3.7, 8 June 2023 02:09:03 UTC (INGV ID 39089101). The star markers are the earthquake epicentres, while the dotted lines are the convex hulls of the joint station and smartphone network. Maps were generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a) with map layer Light Gray Canvas Base of Esri®.

Article Snippet: Maps were generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a).

Techniques: Amplification, Generated

Journal: Nature Communications

Article Title: Citizens’ smartphones unravel earthquake shaking in urban areas

doi: 10.1038/s41467-025-64543-3

Figure Lengend Snippet: Each point of the map represents the local amplification factor needed to correct the peak ground acceleration estimated by an isotropic decay model centred on the earthquake epicentre. The map was generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a).

Article Snippet: Maps were generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a).

Techniques: Amplification, Generated

Journal: Nature Communications

Article Title: Citizens’ smartphones unravel earthquake shaking in urban areas

doi: 10.1038/s41467-025-64543-3

Figure Lengend Snippet: This figure shows the average station residuals and the individual smartphone residuals when considering the four events detailed in Fig. together. In the eastern part of the region, negative residuals suggest comparatively lower amplification. Map was generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a) with map layer Light Gray Canvas Base of Esri®.

Article Snippet: Maps were generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a).

Techniques: Amplification, Generated

Journal: Nature Communications

Article Title: Citizens’ smartphones unravel earthquake shaking in urban areas

doi: 10.1038/s41467-025-64543-3

Figure Lengend Snippet: a When both the smartphone measurements collected during the event and the site amplification information (Fig. ) are considered, the spatial distribution of the PGA shows spatial variations not predicted by a conventional isotropic model (compare with Supplementary Fig. ). Such ShakeMap is generated without the need to determine the earthquake’s magnitude or location and can be produced in real time, provided the data are accessible. b The ShakeMap uncertainty is described by the standard deviation of the predicted PGA on natural logarithmic scale. Maps were generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a).

Article Snippet: Maps were generated with MathWorks® MATLAB® Mapping Toolbox version 25.1 (R2025a).

Techniques: Amplification, Generated, Produced, Standard Deviation