Having failed in trying to get Obspy to work on Windows 7/8, we next tried it on Linux (Ubuntu 12.04 LTS codename precise) on two machines; it worked on both. We thus finally have all the setup ready to start analyzing the data and hopefully finding interesting patterns.
We had the data for the recent 4.7 magnitude quake in Anza. For each station, we plot the quake data, its fast Fourier transform, the data for the quiet time at that station and its fast Fourier transform. The plot for one such station is shown below; we are yet to analyze it.
We used an Obspy class- to calculate the distance between the epicenter and each of the stations. We stored the station name and corresponding distance from the epicenter in an array, and then sorted it in the order of increasing distance. The data from each station was then plotted. We seem to be able to observe a pattern on looking closely. A slight modification of different parameters like the clearance between the subplots, pixels per inch and the thickness of the plot lines might make the visualization clearer.
We had the data for the recent 4.7 magnitude quake in Anza. For each station, we plot the quake data, its fast Fourier transform, the data for the quiet time at that station and its fast Fourier transform. The plot for one such station is shown below; we are yet to analyze it.
We used an Obspy class- to calculate the distance between the epicenter and each of the stations. We stored the station name and corresponding distance from the epicenter in an array, and then sorted it in the order of increasing distance. The data from each station was then plotted. We seem to be able to observe a pattern on looking closely. A slight modification of different parameters like the clearance between the subplots, pixels per inch and the thickness of the plot lines might make the visualization clearer.
Data from 100 stations for the Anza earthquake plotted at 250 dpi for each subplot
Data from all 192 stations for the Anza earthquake plotted at 600 dpi for each subplot
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