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Tweetping

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RevEx Search Query Boolean operators Operators are: + (this term must be present) - (this term must not be present). All other terms are optional. For example, this query: quick brown +fox -news fox must be present news must not be present quick and brown are optional — their presence increases the relevance The familiar operators AND, OR and NOT are also supported Proximity searches Rectangular subdivisions of the world Eric Fischer, who continues his string of mapping fun and doesn't even do it for his day job, maps the world in binary subdivisions. Each bounding box contains an equal number of geotagged tweets. The best part is that Fischer is actually doing some problem-solving, trying to figure something out, so it's not just a pretty picture. The actual motivation behind it, by the way, was to figure out an approximately optimal set of bounding boxes to query for in APIs like Picasa's, where if you ask for the whole world, you only get a few, very recent, results, but if you query for small enough bounding boxes, you can see further back in time. The idea is to choose bounding boxes with equal frequency so you get approximately the same time period of results from each of them.

L.A. Uses Big Data to Map Energy Block by Block Most buildings waste energy but how inefficient one building is compared to others is difficult to know. At a city level, choosing which buildings are ripe for efficiency upgrades is even harder. The University of California at Los Angeles today published a map that brings some clarity to how the city uses electricity, block by block. For consumers, the interactive map shows how each block compares to others and consumption patterns by season. But the Web app is more directly aimed at the municipal utility, the Los Angeles Department of Water and Power (LADWP), and city planners. The map overlays census and land use information so people can see how income levels affect electricity use and the difference between single family, multi-family, and commercial buildings.

In 1760, some fifteen hundred enslaved black men and women— perhaps fewer but probably many more— took advantage of Britain’s Seven Year’s War against France and Spain, to stage a massive uprising in Jamaica, which began on April 7 in the windward parish of St. Mary’s and continued in the leeward parishes until October of the next year. Over the course of eighteen months the rebels killed as many as sixty whites and destroyed many thousands of pounds worth of property. Web Trend Map 4 by Oliver Reichenstein The has been featured all across the web from TechCrunch to BoingBoing, and Gawker. Now the latest version of our popular Web Trend Map is up for grabs.—The Web Trend Map plots the Internet’s leading names and domains onto the Tokyo Metro map. One Chart, Twelve Tools · Lisa Charlotte Rost 17 May 2016 Which tool or charting framework do you use to visualize data? Everybody I’ve met so far has personal preferences (“I got introduced to data vis with that tool!”, “My hero uses that tool and she makes the best charts!”). Often we keep working with the first not-entirely-bad tool or language that we encountered. I think it can’t hurt to have a wider view of the options out there: To maybe discover better tools than the ones we use; but also to reassure us that the tools we use ARE really the best (so far).

A Visual History of Twitter [INFOGRAPHIC] The Social Media Infographics Series is supported by Vocus' Social Media Strategy Tool, a free, six-step online tool that lets you build a custom social media framework tailored to your organization’s goals. Since its launch in the summer of 2006, Twitter has become the leader in microblogging, limiting even its most famous users to a concise 140 characters. This infographic details Twitter's most influential content creators, staggering adoption rates, and struggle to turn a profit. Curious about The Biebs' first tweet? Wondering which event caused the latest tweets-per-second record?

IDC releases first smart city maturity model IDC Government Insights’ has released its first Smart City Maturity Model, which identifies the stages, key measures, results, and actions that are required for cities to effectively move through the stages and progress toward the long-term goal of becoming a smart city. The document, “Assessment and Action on the Path to Maturity,” is designed to serve as a needs assessment for cities to examine their current situation and determine critical capabilities needed to develop a smart city. The goal is to help city leaders use the maturity model as a tool to develop a common language, improve intra- and inter-group collaboration in defining and executing a smart city strategy, and promote and encourage the use of emerging technologies and smart city solutions. Beyond examining the current needs of a given city, officials will also be able to use the model to set goals and plan for technology, partnership, staffing, and other related investment decisions.

636 - Painted Ships on Painted Oceans: an Accidental Map of the Doldrums Take millions of data points, each one a geolocated entry plucked from a digitised collection of 18th- and 19th-century ships’ logs (1), pin them all on a blank canvas, and you get this extraordinary world map. This map may have been featureless to begin with, yet we can clearly discern the contours of the continents. That is the cumulative effect of significant numbers of coast-hugging vessels, generating enough data points to reveal the length and breadth of the land. But some contours are notably absent: the Red Sea, the Persian Gulf, the eastern half of the Mediterranean, the Black Sea, the northern shores of Siberia, Canada and Australia. Too few ships (or at least too few ships with log books) plied those waters back then. The most striking feature of the map, however, are the broad bands of traffic moving across the high seas.

2010 Social Networking Map A great 2010 update from Flowtown’s Ethan Bloch of the (in)famous XKCD Map of Online Communities. Update: Or you might prefer your map horizontally … Caravel: Airbnb’s data exploration platform — Airbnb Engineering & Data Science At Airbnb, we love data, and we like to think that analytics belongs everywhere. For us to be data-driven, we need data to be fluid, fast flowing, and crystal clear. As a vector for data exploration, discovery, and collaborative analytics, we have built and are now open sourcing, a data exploration and dashboarding platform named Caravel. Caravel allows data exploration through rich visualizations while performing fast and intuitive “slicing and dicing” against just about any dataset. Data explorers can easily travel through multi-dimensional datasets while creating and sharing “slices”, and assemble them in interactive dashboards.

Map Your Facebook Friends In a Few Clicks You know who your Facebook friends are, but can you visualize where they are? You might be surprised when you see "Where My Friends Be?" a Google Maps mashup with all of their locations pinpointed, showing you just how far-flung your friends really are. We've seen other Facebook/Google Maps mashups before, but this one's different from other friend-mappers.

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