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Last January, Zach wrote that as Bill Gates started his first full year working full-time for the Bill & Melinda Gates Foundation, he'd been asked by big-time contributor Warren Buffett to begin writing annual letters . It's that time again for Gates, and in this year's lengthy missive , the former Microsoft CEO spends most of his time discussing global health-related concerns.
After learning the basics of R, I decided to learn something harder last week. I picked Social Network Analysis (SNA) to learn the concepts of SNA and R. My primary interest in SNA is visual exploration of networks, so I needed to find a tool first. Which tool to use for visual SNA? Features needed:
Mapnificent is a Google Maps application that provides a brilliant new way of looking at your local geography. Rather than letting you specify a start point and end point and then giving you directions and travel time, as most map applications normally do, Mapnificent allows you to specify a starting location and then see all the places you can reach by public transportation within a certain amount of time. This lets you pick an apartment, restaurant, or bar based on the amount of travel time you can tolerate.
Schemaball is a flexible schema visualizer for SQL databases. The purpose of Schemaball is to help visualize the relationships between tables. Tables are related by foreign keys, which are fields which store the value of a record field from another table.
Fabian Beck, Martin Puppe, Patrick Braun, Michael Burch, Stephan Diehl.
Description VisionLink Explorer is an information mapping and analysis tool. It helps to give a visual and intuitive representation of structured data, through interactive relational graphs.
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Cities across the globe are trying to develop plans to cut down their energy consumption and lower their carbon footprint by reducing the associated greenhouse gas emissions. While initial efforts have focused on individual buildings by incorporating more energy efficient lighting, windows, and building systems, deeper reductions will call for changes beyond individual buildings, requiring a rethinking of how future infrastructure and energy policies should evolve. A new study by Columbia Engineering School will help urban planners, policy makers, and engineers understand the local dynamics of building energy use in New York City—where over two-thirds of the energy consumption is from buildings—and help jumpstart the exchange of ideas.
Might this be the best example of a truly persuasive visualization for the masses?
The remarkably detailed map [columbia.edu] developed by the Modi Research Group of the Earth Institute at Columbia University reveals the total annual building energy consumption of New York, at both the block and 'taxlot' level (which is nearly at building level). The map was built using MapBox .
Data Source: Spatial distribution of urban building energy consumption by end use B. Howard, L. Parshall, J.
Talk about heat maps, and most people will assume you're referring to a map with colours used to represent intensity of something like poverty or crime.