Autonomía digital y tecnológica

Código e ideas para una internet distribuida

Linkoteca. OpenStreetMaps

So although many of us have to stay in, there are still ways that we can help—by simply improving the map. We’ve been talking with the mapping community to find out what the current mapping priorities are and how you can help. Here are some of the mapping attributes that are increasingly important in the current environment:

Hospitals/clinics including facilities and surrounds: This includes the opening hours, addresses, services provided, building outlines, and helipads for countries where air ambulances are commonly used.

Pharmacies: Opening hours, locations and addresses.

Supermarkets, marketplaces, and convenience stores: Opening hours, locations and addresses.

Banks, ATMs, electronic money transfers: Particularly important with global economic disruption.

We highly encourage mapping some of the above features in an area you care about. There are also some existing tasks that you can help complete.

Hospitals in the Philippines with MapRoulette

Global health sites mapping with Healthsites

Health care clinic information globally with MapContrib

Hospital outlines and surrounds in Qom, Iran with MapRoulette

Hospital outlines and surrounds in Tehran province, Iran with MapRoulette

Importing pharmacies in Catalonia, Spain with OSM Tasking Manager

Enriching hospital data in Istanbul with MapRoulette

Ces fichiers contiennent l’ensemble des communes françaises, y compris les DOM, Mayotte et Saint-Pierre-et-Miquelon. Pour Paris, Lyon, Marseille, ce sont les limites d’arrondissements qui sont fournies à la place des limites de communes.

Pour chaque commune ou arrondissement, les attributs suivants sont ajoutés:

insee: code INSEE à 5 caractères de la commune
nom: nom de la commune (tel que figurant dans OpenStreetMap, si possible conforme aux règles de toponymie)
wikipedia: entrée wikipédia (code langue suivi du nom de l’article)
surf_ha : surface en hectares de la commune

Meridian 2 vs OSM data bases

In March 2008, I started comparing OpenStreetMap in England to the Ordnance Survey Meridian 2, as a way to evaluate the completeness of OpenStreetMap coverage. The rational behind the comparison is that Meridian 2 represents a generalised geographic dataset that is widely use in national scale spatial analysis. At the time that the study started, it was not clear that OpenStreetMap volunteers can create highly detailed maps

Just a few hours after the 7.0 magnitude earthquake hit Haiti in January 2010, a group of collaborators from the OpenStreetMap community began collecting all sorts of topographical data about the country – roads, towns, hospitals, government buildings. Within forty-eight hours high-resolution satellite imagery taken after the earthquake became available, and within a month over 600 people had added information to OpenStreetMap of Haiti.

This online map quickly became the default basemap for a wide variety of responders – search and rescue teams, the United Nations, the World Bank, and humanitarian mapping organizations such as MapAction.