SFUSGS

@sfusgs
Geo-tweet my quake…
@ayman • yahoo! research
http://en.wikipedia.org/wiki/File:San_francisco_1906_earthquake.jpg

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FireEagle

FireEagle
@ayman

http://bit.ly/statler

shake and rumble in 2GA

http://earthquake.usgs.gov/earthquakes/recenteqsus/Quakes/nc71336726.php

Click through maps…

A Want Ad

USGS lists every quake

http://earthquake.usgs.gov/earthquakes/catalogs/

Trust me, it is just XML

Yahoo! Search goes to YDN

Google Search goes to YDN

Bing goes to YDN

Using ElementTree

The ﬂow was simple
CRON this::
cUrl XML feed from USGS
ﬁnd local quakes
bit.ly the quake permalink
if not duplicate
record this quake
tweet this quake

def fetch_quakes():
def fetch_quakes():
api = bitly.Api(login=’ABCDEF', apikey=’12345678901234567890')
rss = parse(urllib.urlopen(USGS_URL)).getroot()
quakes = []
for element in rss.findall('{%s}entry' % USGS_NS):
title = element.findtext('{%s}title' % USGS_NS)
if (title.find("San Francisco Bay") > -1):
point = element.findtext('{%s}point' % GEORSS_NS)
points = point.split(None, 1)
link = element.find('{%s}link' % USGS_NS)
href = 'http://earthquakes.usgs.gov%s' % link.get('href')
href = api.shorten(href)
if (is_duplicate(href) is False):
f = open(‘urls.txt', 'a')
f.write('%s ' % href)
f.close()
summary = element.findtext('{%s}summary' % USGS_NS)
summary = summary.split("<br>")[1]
summary = summary.replace(' at epicenter</p><p>', ' ')
summary = strip_tags(summary)
quakes.append({'title': element.findtext('{%s}title' % USGS_NS),
'link' : href,
'updated' : element.findtext('{%s}updated' % USGS_NS),
'long' : points[1],
'lat' : points[0],
'elev' : element.findtext('{%s}elev' % GEORSS_NS),
'summary' : summary})
return quakes

def is_duplicate(url):
def is_duplicate(url):
from subprocess import call
if(os.path.exists(‘urls.txt') is False):
call(['/usr/bin/touch', ‘urls.txt'])
r = call(['/bin/fgrep',
url,
‘urls.txt'])
if (r == 0):
return True
else:
return False

def send_tweet(t):
def send_tweet(t):
import httplib2
username = ’ABCDEFG'
password = ’12345678901234567890'
msg = ('%s %s %s' % (t['title'], t['link'], t['summary']))
http = httplib2.Http()
http.add_credentials(username, password)
response = http.request(
"http://twitter.com/statuses/update.xml",
"POST",
urllib.urlencode({"status": msg,
"lat": t['lat'],
"long": t['long']})
)
SEE: http://code.google.com/p/httplib2/
ps: you shouldn’t store your passwords like that…this is just an illustration

Crunched

USGS on Open Gov’t

Open Questions?
How can other local sources be disseminated?
How can mass media be filtered so it can be consumed in a similar manner?
Can we collect information around the news? For example, find all the tweets that relate to a particular quake.
Thanks, @ayman.

SFUSGS

by David Shamma on Jan 17, 2010

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SFUSGS — Presentation Transcript