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Megacities Earthquake Nowcasting

Authors: John Rundle;

Megacities Earthquake Nowcasting

Abstract

This code is for use in the area of nowcasting earthquakes, a type of earthquake anticipation. The following is explanation from the code header. # Python code to compute the xml and image files for the megacities javascript table that goes into the # Megacities_Nowcast.html site # # This code downloads data from the USGS web site # The results of the calculation are contained in the HTML-Javascript "Megacities_Nowcast.html". Place # the folder "Data" and the HTML code into your web root directory for best results. # The data for the web site is generated by invoking the command line prompt in a terminal window: python Megacities.py # The results are placed in the Data folder. # # This code was written on a Mac using Macports python. A list of the ports needed to run the code are available at: # https://www.dropbox.com/s/8wr5su8d7l7a30z/myports-wailea.txt?dl=0 # # NOTE: Cartopy throws a bunch of non-fatal errors and warnings such as: # <urlopen error [Errno 8] nodename nor servname provided, or not known> # It appears that these can be safely ignored

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Earthquake Nowcasting

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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