Don’t let your bike be stolen – GPS Bike Tracking Device
There are 2,5 bikes stolen every minute only in US and Canada. From time to time I’m using my bike as mean of urban transportation and I’m addicted to all kinds of gadgets (preferably geo-related) therefore I’ve been trying to find a tracking device that could help me locate my bike if my bike-lock won’t be strong enough. I’ve been surprised that it was not easy to find anything.
I found just one device that is worth looking at, but anyway it looks like a cheap Chinese fake of a dildo (sorry for being rude). The SkyBike GPS Tracker is simple but pretty useful device. You insert the battery and the SIM-card inside it and you install it on a cycle fork of your bike. It’s equipped with a simple accelerometer, so when some it touching your bike you’ll be notified by sms and afterwords you can track the thief online with a basic and simple website.You activate and de-active the device by using a special pin that you can have together with your door keys.
The product is not anything fancy. There is no smartphone app which could be useful. It’s plain and easy but comments on web groups are pretty positive and this is the most important thing about it. It costs $150 without SIM-card included.
When talking about stolen bikes there is one really cool project in Canada where they use GPS equipped bicycle to track thief and promote bicycle safety. Have a look in a free time: To Catch a Bike Thief.
source: SpyBike, To Catch a Bike Thief.
Interesting Web Cluster Map of about 350,000 Websites based on WebTraffic Volumes: Is your website featured?
Wow!, Spatial Thinking seriously gaining ground. It is quite interesting that folks are massively realising that stories are better told with maps.
The guy, Ruslan Enikeev created a cool visualization of about 350,000 websites and 2 million links from 196 countries in graduated circle web cluster map based on the scale of their traffic volumes. This is a fun visualization of web page ranking.
Try out the web map here and make your analysis, maybe you are gonna figure out some cool pattern trying to present there. You may notice some kind of proximity and correlation among the most popular sites (Google, Facebook, Twitter etc.)
Note: You have to zoom closer to some of the bubbles to see the website they represents.
Have Fun 🙂