Algorithmic road trip to visit a street named after each day of the year

Ben Ashforth set out to visit a street named after a day of the year for each date. He used OpenStreetMap to find the streets and then algorithmically routed a trip. Then he followed through and went on the trip. In a five-minute lightning talk, he describes the journey. See a photo for every day here. [via Waxy]

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Make a streets map of anywhere in the world

Following up on his mini-app to draw ridgeline maps for elevation, Andrei Kashcha made a tool to draw a streets map of anywhere in the world.

Enter a city, and using data from OpenStreetMap, you’ve got yourself a map for export. You can also easily change the color scheme to your liking, which is fun to play with as you scroll back and forth.

Finally, Kashcha also put the code up on GitHub.

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Haikus generated based on your map location and OpenStreetMap data

Satellite Studio made a map thing that generates haikus based on OpenStreetMap data and your location. From the announcement:

[W]e automated making haikus about places. Looking at every aspect of the surroundings of a point, we can generate a poem about any place in the world. The result is sometimes fun, often weird, most of the time pretty terrible. Also probably horrifying for haiku purists (sorry).

This is pretty great. It’s neat how the poems generate on the fly.

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Make a figure-ground diagram using OpenStreetMap data

In visual perception, a figure-ground grouping is where you recognize an object through the background. Think of the vase and two faces image. Hans Hack made a simple tool that lets you make such a diagram using OpenStreetMap data. Select a location in the world, adjust the radius of the circle, provide a label, and voilà, you have yourself a poster. Download it as an image or SVG file.

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One square mile in different cities

As part of his dissertation, Geoff Boeing generated these maps that show one square mile of road network in select cities.

To compare urban form in different kinds of places, these visualizations have depicted some downtowns, some business parks, and some suburban residential neighborhoods. These patterns also vary greatly within cities: Portland’s suburban east side looks very different than its downtown, and Sacramento’s grid-like downtown looks very different than its residential suburbs. These visualizations, rather, show us how different urbanization patterns and paradigms compare at the same scale.

Roll your own using Boeing’s OpenStreetMap-based Python package, OSMnx. Just one line of code.

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Mapping for Ebola: A Collaborative Effort

Map of AfricaOne of the difficulties faced by teams responding to the current Ebola outbreak in West Africa is identifying individuals and communities residing in remote areas. Existing maps of these regions either do not exist or are inadequate or outdated. This means that basic data like location of houses, buildings, villages, and roads are not easily accessible, and case finding and contact tracing can be extremely difficult.

To help aid the outbreak response effort, volunteers from around the world are using an open-source online mapping platform called OpenStreetMap (OSM) to create detailed maps and map data of  Guinea, Sierra Leone, Liberia, and parts of Mali.

Person mapping at a computerCommonly referred to as “Wikipedia for maps,” OSM is working toward the goal of making a map of the world that is freely available to anyone who wants to use it. The Humanitarian OpenStreetMap Team (HOT) is a U.S.-based non-profit organization that represents a subset of the OSM community. HOT’s mission is to use OSM data and tools to help prepare and respond to humanitarian disasters. Because OSM data is available for free download anywhere in the world, volunteer mappers generate data that are useful not only to CDC but also to other agencies involved in the Ebola response, such as Doctors Without Borders (MSF), International Red Cross (IRC), and World Health Organization.

Mappers frequently use satellite images to identify villages, houses, paths, and other details that were previously unmapped. The U.S. State Department’s Humanitarian Information Unit (HIU) is supporting HOT and OSM by creating the MapGive.org website, which provides easy-to-follow instructions on how to begin mapping very quickly. Personnel in CDC’s Division of Global Migration and Quarantine (DGMQ) are coordinating with HIU and HOT to support and promote volunteer mapping in affected West African areas where CDC teams are currently working.

Members of Emory’s Student Outbreak and Response Team (SORT) are some of these volunteer mappers. SORT is a graduate student organization that collaborates with CDC and provides hands-on training in outbreak response and emergency preparedness. Ryan Lash, a mapping scientist in DGMQ’s Travelers’ Health Branch, initially contacted SORT for help in August as the number of Ebola cases in West Africa continued to rise. He has since provided two workshops for SORT members, taught a small number of CDC staff, and trained students at the University of Georgia.

Rabies response-EOCIn the 8 months that HOT has been mapping countries with Ebola outbreaks, more than 2,500 volunteers have mapped more than 750,000 buildings and hundreds of kilometers of roads, resulting in detailed maps of affected West African communities. Not only do these maps help first responders and other organizations around the world, they also contribute to the national information infrastructure essential to the recovery and rebuilding of affected regions. The value of OSM was highlighted especially well during the 2010 Haiti earthquake, after which the U.S. State Department decided to promote volunteer mapping as a way for the general public to get involved in humanitarian emergencies.

Volunteer mapping in OSM for HOT can be done by anyone. All you need is a computer, an internet connection, and the time and willingness to learn. Find out more about how you can help here: Learn to Map