visualizing nyc

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among the case studies I'm collecting here on visualization of georeferenced data, this is a selection of the project based on the city of New York


  • 1. Visualising NYCa collection of case studiesthat analyse andvisualize several dynamics onthe city of NewYork.

2. Livehood Livehoods reveal how the people and places of a city come together to form the dynamic character of local urban areas. Each dot on the map () represents a check-in location. Groups of nearby dots of the same color form alink Livehood. The shapes of Livehoods are determined by the patterns of people that check-in to them. If many of the same people check-in to two nearby locations, then these locations will likely be part of the same Livehood. 3. My block NYC is an interactive mapping website that captures and presents personal video accounts of the life and culture of New York City in order to create an intimate, evolving, and complete portrait of this great city. Users uploadlink videos geographically, building the rst fully interactive video map of New York City. 4. Here Now This project analyzes two weeks of of checkin data collected from Foursquare and Facebook API to explore what these new ways of communicating can tell us about New York 5. Digits collected every check-in on the service for a week earlier this year, via the Foursquare rehose. And what did they nd? Broadly: The top individual spots are places like malls, airports and train stations, because so many peopleA week on foursquare lter through those locations. But the top categories are homes, ofces, coffee shops and bars, even though each of the individual locations in those categories gets a very small number of > more data analysis here 6. Using Flickr Geotags to Map the Worlds Cities.Flickr geotags (Youll also notice a bit of color coding on the maps. Apparently, Fischer was able to guess that the picture takers mode of transportation--presumably using the time stamps and distance traveled between a users pictures. He thenlink created a color code:Black is walking (less than 7mph), Red is bicycling or equivalent speed (less than 19mph), Blue is motor vehicles on normal roads (less than 43mph); Green is freeways or rapid transit.) 7. a Twitter anatomy of a protest Heres a visualization of mid and lower Manhattan on MayDay, 2012, plotting the when and where of tweets containing the keywords, MayDay and Occupy (representing a healthy mix of supporters, detractors, and everybody in-between). link The visual coordination of three dimensions of data: location, time, and topic, provides an up-to-the-second prole of a social event as it forms, moves, and dissipates 8. (a tweet focus) Cascade allows for precise analysis of the structures which underly sharing activity on the web.Cascades This rst-of-its-kind tool links browsing behavior on a site to sharing activity to construct a detailed picture of howlink information propagates through the social media space. While initially applied to New York Times stories and information, the tool and its underlying logic may be applied to any publisher or brand interested in understanding how its messages are shared. 9. (zoom)(a tweet focus) Pastiche is a dynamic data visualization that maps keywords from blog articles to the New York neighborhoods they arePastiche written in reference to, geographically positioned in a navigable, spatial view. Keywords are assigned based onlink relevance and recency, surrounding their corresponding neighborhoods. The result is a dynamically changing description of the city, formed around individual experiences and perspectives 10. (zoom)(zoom out)(a tweet focus) By revealing the social networks present within the urban environment, Invisible Cities describes a new kind of cityaInvisible city city of the mind. It displays geocoded activity from online services such as Twitter and Flickr, both in real-time and inlink aggregate. Real-time activity is represented as individual nodes that appear whenever a message or image is posted. Aggregate activity is reected in the underlying terrain: over time, the landscape warps as data is accrued, creating hills and valleys representing areas with high and low densities of data. 11. (zoom)(a tweet focus) The research, presented in late March at the annual meeting of the Association of American Geographers, locates hotmapping the buzz spots based on the frequency and draw of cultural happenings: lm and television screenings, concerts, fashion shows,link gallery and theater openings, through potographs from Getty Images that chronicled ashy parties and smaller affairs on both coasts for a year, beginning in March 2006. The maps show the density of different types of cultural events in New York 12. Mapping America, every city every block Browse local data from the Census Bureaus AmericanCommunity Survey, which was conducted from 2005 to 13. NY days vs Night Popoulation integrating Census Data + exensive information on daily activities (source is not clear)link 14. (a tweet focus)The Metropolitan Transportation Authority offers several pricing options for subway and bus riders. Heres a look atNY metro card usage where people are swiping different kinds of MetroCards, and how recent fare hikes affected their uselink 15. (zoom)Stop Question and Frisk NY NYtimes interactive visualization.New York Citys police force, in its ght against crime, has increasingly used a strategy known as stop, question and frisk, which allows ofcers to stop someone based on a reasonable suspicion of One expert has estimated New Yorkers are stopped at twice the national rate. The interface let users navigate the number of STOPS for each neighborhood and block 16. Map your moves An interactive visual exploration of where New Yorkers moved in the last decadelink 17. the Museum of the Pahntom city the museum of the phantom city uses personal digital devices to transform the city into a living museum. the rst tour, Other Futures, allows individual to see speculative proposals for the city of New Yorklink 18. Movement in Manhattan Using geolocated tweets to try and see how the movement of people is affected by the urban landscape.Basically, tweets sent by the same person within a 4 hour time-window were used as samples of speed and direction.linkThese samples were used to construct a vector eld representing the average ow of people within the area. 19. (zoom + change view)NYC Subway Ridership Interactive time based visualization of NYC MTA riders from 1905 to 2006link 20. Lost NYC Subways Lost Subways: Abandoned Stations & Unbuilt Lines Heres the current subway map overlaid with eleven subway lines that were planned but never 21. Travel Tube map the map shows the travel times, in minutes, from Manhattan to stations in the regions commuter rail system dureingevening rush. Each alternating ring shows how much farther you can travel in an additional 15 minuteslink 22. Taxi! Taxi! is an analytical model that maps the trip data for 10,000 taxi rides over the course of 24 hours. Geographiclocation data for the origin and destination of each ride is combined with waypoint data collected from the GooglelinkMaps API in order to generate a geographically accurate representation of the trip: 23. time to work New Yorks multi-layered morning rush hour detailed by the combined pathways ferries (orange dots), commuter rail services, (green purple and red) and the bus services (blue) that criss-cross the city picking out its famous grid patternlink 24. Snack time Snack time: GPS trails reveal the routes taken by cycling pizza delivery riders on one Friday night in Manhattan. Each riders shift lasts eight to nine hours, in which time they can deliver between 30 and 40 pizzas all over the citylink 25. A Peek Into Netflix Queues Interactive Graphic by NYTimes examines maps of Netix rental patterns, neighborhood by neighborhood, in a dozen cities across USAlink