Visualising NYCa collection of case studies that analyse andvisualize several dynamics on the city of NewYork.

Livehoodlink

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 a 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.

My block NYClink

MyBlockNYC.com 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 upload videos geographically, building the first fully interactive video map of New York City.

Here Nowlink

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 City.

A week on foursquarelink

Digits collected every check-in on the service for a week earlier this year, via the Foursquare “firehose.” And what did they find? Broadly: The top individual spots are places like malls, airports and train stations, because so many people filter through those locations. But the top categories are homes, offices, coffee shops and bars, even though each of the individual locations in those categories gets a very small number of check-ins.

> more data analysis here

Flickr geotagslink

Using Flickr Geotags to Map the World’s Cities.(You'll also notice a bit of color coding on the maps. Apparently, Fischer was able to guess that the picture taker's mode of transportation--presumably using the time stamps and distance traveled between a user's pictures. He then 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.)

a Twitter anatomy of a protestlink

Here's 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).  The visual coordination of three dimensions of data: location, time, and topic, provides an up-to-the-second profile of a social event as it forms, moves, and dissipates

Cascadeslink

Cascade allows for precise analysis of the structures which underly sharing activity on the web.This first-of-its-kind tool links browsing behavior on a site to sharing activity to construct a detailed picture of how 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.

(a tweet focus)

Pastichelink

Pastiche is a dynamic data visualization that maps keywords from blog articles to the New York neighborhoods they are written in reference to, geographically positioned in a navigable, spatial view. Keywords are assigned based on relevance and recency, surrounding their corresponding neighborhoods. The result is a dynamically changing description of the city, formed around individual experiences and perspectives

(a tweet focus)

(zoom)

Invisible citylink

By revealing the social networks present within the urban environment, Invisible Cities describes a new kind of city—a city of the mind. It displays geocoded activity from online services such as Twitter and Flickr, both in real-time and in aggregate. Real-time activity is represented as individual nodes that appear whenever a message or image is posted. Aggregate activity is reflected 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.

(a tweet focus)

(zoom)

(zoom out)

mapping the buzzlink

The research, presented in late March at the annual meeting of the Association of American Geographers, locates hot spots based on the frequency and draw of cultural happenings: film and television screenings, concerts, fashion shows, gallery and theater openings, through potographs from Getty Images that chronicled flashy 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

(a tweet focus)

(zoom)

Mapping America, every city every blocklink

Browse local data from the Census Bureau's American Community Survey, which was conducted from 2005 to 2009.

NY days vs Night Popoulationlink

integrating Census Data + exensive information on daily activities (source is not clear)

NY metro card usagelink

The Metropolitan Transportation Authority offers several pricing options for subway and bus riders. Here's a look at where people are swiping different kinds of MetroCards, and how recent fare hikes affected their use

(a tweet focus)

Stop Question and Frisk NYlink

NYtimes interactive visualization. New York City’s police force, in its fight against crime, has increasingly used a strategy known as “stop, question and frisk,” which allows officers to stop someone based on a reasonable suspicion of crime. 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

(zoom)

Map your moveslink

An interactive visual exploration of where New Yorkers moved in the last decade

the Museum of the Pahntom citylink

the museum of the phantom city uses personal digital devices to transform the city into a living museum.the first tour, Other Futures, allows individual to see speculative proposals for the city of New York

Movement in Manhattanlink

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.These samples were used to construct a vector field representing the average flow of people within the area.

NYC Subway Ridershiplink

Interactive time based visualization of NYC MTA riders from 1905 to 2006

(zoom + change view)

Lost NYC Subwayslink

Lost Subways: Abandoned Stations & Unbuilt Lines Here's the current subway map overlaid with eleven subway lines that were planned but never built.

Travel Tube maplink

the map shows the travel times, in minutes, from Manhattan to stations in the region's commuter rail system dureing evening rush. Each alternating ring shows how much farther you can travel in an additional 15 minutes

Taxi!link

Taxi! is an analytical model that maps the trip data for 10,000 taxi rides over the course of 24 hours. Geographic location data for the origin and destination of each ride is combined with waypoint data collected from the Google Maps API in order to generate a geographically accurate representation of the trip:

time to worklink

New York's 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 pattern

Snack timelink

Snack time: GPS trails reveal the routes taken by cycling pizza delivery riders on one Friday night in Manhattan. Each rider's shift lasts eight to nine hours, in which time they can deliver between 30 and 40 pizzas all over the city

A Peek Into Netflix Queueslink

Interactive Graphic by NYTimes examines maps of Netflix rental patterns, neighborhood by neighborhood, in a dozen cities across USA