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.
There are many visual design guidelines but the basic principle might be summarized as the Visual Information Seeking Mantra:
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Each line represents one project in which I found myself rediscovering this principle and therefore wrote it down it as a reminder. It proved to be only a starting point in trying to characterize the multiple information visualization innovations occurring at university, government, and industry research labs.