While working for Ona in 2014-5, I designed and developed an automatic map visualization platform for the data collected on Ona.io. The view automatically provides a rich interactive map for survey data collected using mobile phones (with GPS locations). Users can visualize and filter their multi-dimensional data with an intuitive point-and-click interface.

Below, some of the map features are demonstrated using a dataset about stolen sculptures for Kathmandu. An interactive version is available on Ona.io. Each dot on the map represents one recorded instance of a stolen stone sculpture from the Kathmandu Valley. In the interactive version, the maps are freshly generated from data and remain up to date.

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I came up with the idea of automatically visualizing categorical data on a map using color while working on Formhub, inspired by ggplot and the grammar of graphics. While at Ona, I pushed this design further by allowing users to visualize more types of data (numbers, dates) and created a richer filtration interface that worked with any kind of data (including a search interface for raw text).

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Thanks to Matt Berg, Peter Lubell Doughtie, Roger Wong, and the entire Ona team for enabling and collaborating in this work. While I led the design and development of the map features, it was all a team effort. Thanks to Joy Lynn Davis and the Remembering the Lost project for the data that is shown in this page.