For those of us familiar with San Franciso, its bay and its famous bridge, The Golden Gate, this is a compelling infographic. Fundamental in its data and a fine mix of data and representation of geography. Once again, thanks to Nathan at Flowing Data.

Suicides by Location on the Golden Gate Bridge

This graphic from SF Gate is a good four years old, well before I knew what an infographic was, but just because it's old doesn't mean it's not interesting. Here we see San Francisco's Golden Gate Bridge and the "sad tally" of 1,218 known suicides by location. Each black square represents a person who has taken his or her life and 128 light poles are used as reference points.

The east side of the bridge, where most of the suicides occurred, has a pedestrian walkway. The first suicide was just 10 weeks after the bridge opened in 1937.

gheat is, as its promo line says, a nifty tool to turn a Google pin map into a heat map.  (Or should we be calling that a "Heat" map?)

Here's what the page looks like, but drill down into the examples.  I especially like the map of Davis, Calif. bike accidents.

Star this project

Code license:	MIT License
Labels:	gmaps, heatmap, python, wsgi, aspen, geo

Show all Featured downloads:
gheat-0.2.tbz gheat-0.2.zip

Links:	DOCUMENTATION Screencast Ruby starting-point (thanks David :^) other software from Zeta
Blogs:	http://blag.whit537.org/.../gheat
Feeds:	Project feeds
Groups:	gheat@googlegroups.com

People details

Project owners:
	whit537
Project committers:
	endtwist, dav...@brconsulting.com.au

Google Maps gives you API for adding additional map layers. This software implements a map tile server for a heatmap layer.

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Examples

Please tell me (chad@zetaweb.com) if you'd like a link here.

The Anglican Church in North America is using gheat on their homepage to show their parishes.

VisTrac is using gheat to visualize clicks on web pages.

Russell Neches is using gheat to visualize auto and bike accidents in Davis, CA. The data is parsed from about 10,000 raw police reports.

The Australian Honeynet Project is using gheat to visualize the origin of spam that gets caught in their SensorNET honeypots.

The Conficker Working Group is using gheat to track the spread of the Conficker worm.

This is an animated heatmap of the conficker botnet as found in Australia (one frame a day, unique IPs per frame, with data from the end of January through June, 2009). This was produced using a heavily modified gheat. Here's a Flash example.

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Random find today for the geographically inclined:
http://finder.geocommons.com/
Library of spatial data, and the ability to convert it all to and from Shapefile, KML and CSV.

They also produce http://maker.geocommons.com/, a quick way to build visually appealing maps with all that data. Haven't experimented with it much yet to know the limitations/features

Sidenote: Anyone using QGIS? How intimidating is installing all the necessary frameworks if you don't already have them?

Thanks,

Michael Corey
Digital Projects Editor
DesMoinesRegister.com
515.284.8076 mcorey@dmreg.com