Translation Mapping Tool
Geovisualization , short for Geographic Visualization , refers to a set of tools and techniques supporting geospatial data analysis through the use of interactive visualization . Like the related fields of scientific visualization [ 1 ] and information visualization [ 2 ] geovisualization emphasizes knowledge construction over knowledge storage or information transmission. [ 1 ] To do this, geovisualization communicates geospatial information in ways that, when combined with human understanding, allow for data exploration and decision-making processes. [ 1 ] [ 3 ] [ 4 ] Traditional, static maps have a limited exploratory capability; the graphical representations are inextricably linked to the geographical information beneath.
The idea of a social graph–a representation of a person’s network of friends, family, and acquaintances–gained currency last year as the popularity of online social networks grew: Facebook, for example, claims to have more than 64 million active users, with 250,000 more signing up each day. It and other sites have tried to commercialize these social connections by allowing outside developers to build applications that access users’ networks. Facebook also advertises to a user’s contacts in accordance with the user’s online buying habits. The push to understand the nature and potential value of links between people online has led to imaginative ways to represent such networks. Here, we look at some of them. Blogosphere Communities that form around the exchange of information stand out in Matthew Hurst’s visualizations of the blogosphere.
Visualization is a technique to graphically represent sets of data. When data is large or abstract, visualization can help make the data easier to read or understand. There are visualization tools for search, music, networks, online communities, and almost anything else you can think of.
New York Talk Exchange illustrates the global exchange of information in real time by visualizing volumes of long distance telephone and IP data flowing between New York and cities around the world. In an information age, telecommunications such as the Internet and the telephone bind people across space by eviscerating the constraints of distance. To reveal the relationships that New Yorkers have with the rest of the world, New York Talk Exchange asks: How does the city of New York connect to other cities? With which cities does New York have the strongest ties and how do these relationships shift with time?
Data This map distills more than 4000 moves from over 1700 people, collected in an informal survey by WNYC , a New York based public radio station.
Every year tens of thousands of people leave their homes in Latin America in the hope of reaching the United States of America. Driven by grinding poverty, they travel in search of work and a more promising future. What do the citizens and residents of the United States really understand about the role Hispanic migrants play in the US economy and their impact on the labor market?
00:00 02 April 2009 Getting away from it all is easier said than done, as new maps of the world's connectedness reveal Image 2 of 11 Nowhere, three weeks from anywhere It's official, the world's most remote place is on the Tibetan plateau (34.7°N, 85.7°E). From here, says Andy Nelson, a former researcher at the European Commission, it is a three-week trip to the cities of Lhasa or Korla - one day by car and the remaining 20 on foot.
French Spanish Portuguese German Jorgelina Loza Summary: Outcome Mapping is a methodology for planning, assessment and monitoring of projects promoted by IDRC.
Social network analysis ( SNA ) is the methodical analysis of social networks . Social network analysis views social relationships in terms of network theory , consisting of nodes (representing individual actors within the network) and ties (which represent relationships between the individuals, such as friendship , kinship , organizational position, sexual relationships , etc.) [ 1 ] [ 2 ] These networks are often depicted in a social network diagram , where nodes are represented as points and ties are represented as lines.