Local Code: 3,659 Proposals About Data, Design & The Nature of Cities A Book by Nicholas de Monchaux localco.de Local Code’s data-driven layout arranges drawings of 3,659 digitally tailored interventions for vacant public land in San Francisco, Los Angeles, New York City, and Venice, Italy. The natures of these found parcels is as particular as the cities that house them — land under billboards in Los Angeles, dead-end alleys in San Francisco, city-owned vacant lots in New York City, and abandoned islands in the Venetian lagoon — but have in common an unrecognized potential as a social and ecological resource. Names vs. The NothingLocal Code: The Constitution of a City at 42º N Latitude citiesurbanism
A brief foray into vectorial semantics An Article by James Somers jsomers.net One of the best (and easiest) ways to start making sense of a document is to highlight its “important” words, or the words that appear within that document more often than chance would predict. That’s the idea behind Amazon.com’s “Statistically Improbable Phrases”: Amazon.com’s Statistically Improbable Phrases, or “SIPs”, are the most distinctive phrases in the text of books in the Search Inside!™ program. To identify SIPs, our computers scan the text of all books in the Search Inside! program. If they find a phrase that occurs a large number of times in a particular book relative to all Search Inside! books, that phrase is a SIP in that book. mathmeaningwordsnotetakingsearchchance