OpenStreetMap US

OpenStreetMap data analysis continues to be a popular and well-attended topic at State of the Map conferences. Each year the community builds and presents a new generation of tools that help us reimagine how we approach OSM data analysis and stretch the realm of what is possible when it comes to measuring the millions of edits and the growing community that make OSM (On average, we’re now more than 4,700 daily mappers!). This year is no different: The community has been iterating on analysis platforms and producing new data visualizations to tell more stories. We observe this happening across industry, academia, and at home.

This year we propose a show-and-tell session of OSM data visualizations and processes by which they were produced to get a better picture of where OSM data science currently sits. For this, we will curate and present a number of visualizations as produced by the various OSM data science tools out there. Depending on the number of items, we will briefly describe each one, the story it tells, and the techniques used to create it. How often do you see a new visualizations shared to social media and think, “Wow! That’s really cool, how can I recreate that for a different part of the map?” This session seeks to collect many of these and briefly explain the processes behind each one.

Over the next few months, we will reach out to the community, search blogs and academic publications, and dig into our own collections for the most interesting and compelling OSM data-visualizations, both cartographic and not. We will get the story behind them of why and how they were produced. In this way, we hope to share and acknowledge all of the great work out there that is not otherwise being represented at the conference.

Next up in State of the Map US

Previous talk

Are you ready? Bridging the resiliency gap with OpenStreetMap

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You may think you know your neighborhood, but does your mental map include how to avoid the nearest construction sites or where you might shelter in place in an emergency? What about...