Tag: gis

Google Earth Ate Our Town

The city’s planning department has, over the past 5 years, steadily fed Google a wealth of information about its buildings, property lines, utilities and streets. The result is earth.nanaimo.ca, a clearinghouse of city data viewed through the robust and freely available Google Earth 3D mapping program. The site sorts and maps every business, from restaurants to car dealers, while a click of the mouse brings up the lot size for every property in the city, including the building permit number and zoning history. Homeowners can use the facility to find out specific information about their garbage collection schedule, while the city’s 150-year-old downtown core is rendered in 3D and dotted with 360-degree panoramas.

how to wire up a whole town with geodata

GIS Security Theater

Santa Clara County has stopped selling GIS data, citing concerns the information could end up in the hands of terrorists. But the plaintiffs in a lawsuit over the high costs of that data claim the security concerns are nothing more than a convenient cover.

isn’t that safety fetish useful to hide some government pork behind?

Google Maps Heatmaps

We wanted a fun data set to play around with and thought traffic congestion/delay would be interesting. The Bureau of Transportation Statistics (BTS) has a cool data set with average traffic delay for all the US highways available, so we threw that in. One of the problems with pushpins or polylines in Google Maps (and others) is there is no way to visualize what are the high value or low value pushpins. In this case, which road has high traffic delay and which roads have low traffic delay. We do this with a heat map (similar to Zillow, Google Adsense, etc.) that can be dynamically refactored as you zoom in/out (see previous post). We added to this heat map tool a concentration index – which gives you a score of the value (weight) of your pushpins and how closely they are located together. Once you have the score you can see if location “A” is better than location “B”. In this case is traffic delay more concentrated in location “A” or location “B”