Azure IoT Hub

Azure Podcast: Episode 149 - IoT Hub



Azure IoT Hub | Microsoft Azure

IoT Hub Documentation | Azure

Exploring the Microsoft Azure IoT Hub - DZone IoT

azure-iot-sdks/setup_iothub.md at master · Azure/azure-iot-sdks · GitHub

SmartDome: Prefab Housing (& samsung camera)

Prefab Housing | Inhabitat - Green Design, Innovation, Architecture, Green Building

Prefab smartdome homes can pop up practically anywhere | Inhabitat - Green Design, Innovation, Architecture, Green Building

Smartdome – Smartdome Constructions (modular homes from Slovenia)

This device is also called "smartdome"
Amazon.com : SAMSUNG SCC-6407 32X Zoom Day/Night WDR Smartdome Camera : Dome Cameras : Camera & Photo


KODA is a tiny solar-powered house that can move with its owners | Inhabitat - Green Design, 

Innovation, Architecture, Green Building

Visualizing USA Elections Map Better

In USA Presidential elections each state contributes certain number of votes based on number of citizens, not the surface size of each state.
Still, almost all visualizing of results of elections is done by coloring whole area of each state in read or blue,
incorrectly implying that votes are proportional to visible size of each state.
In addition, typical geo maps projections have distortion that more northern states look larger that they really are.

There is a better way to visualize data. Here is my simple solution:
using bar charts proportional to number of "electoral votes" of each state
and total votes for each party candidate. This is based on results of 2012 elections.
The map is also "interactive"; by clicking on state bar you can see effect of switching between red and blue.

---

This is instead of a typical red-blue map: United States presidential election, 2012 @ Wikipedia