Yoni Nachmany
Yoni Nachmany is an R&D Engineer at The New York Times, where he works on digitizing archival articles and photographs with experimental techniques. Previously, he processed and visualized satellite and aerial imagery as a geospatial software engineer at Mapbox. He participated in the Data Science for Social Good Fellowship after graduating from the University of Pennsylvania with a Master’s in Data Science. You can see his latest data explorations and side projects at https://twitter.com/yoninachmany.
Sessions
Street-level photographs of New York City from the early 1900s show how people used to live, from their clothes and vehicles to their stores and advertisements. Several open source projects have mapped archival “street view” images of New York, relying on various collections of photos with locations. These interactives, primarily built with Mapbox GL JS, are instructive when visualizing a newly-digitized archive, in this case a set of over 60,000 photos from the construction of the NYC subway between 1900 and 1950 with approximate coordinates.
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“Street View, Then & Now: New York City's Fifth Avenue” compares 1911 wide-angle photographs from the New York Public Library to 2015 Google Street View imagery. A mini-map shows each photo’s location and field of view, and a visitor to the site can “go south”, “go north”, or “cross the street” using the arrow keys. The project came out of the NYC Space/Time Directory, an initiative to communicate the history of the city using historical maps, geodata, and open source tools. Code: https://github.com/nypl-publicdomain/fifth-avenue.
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“1940s.NYC” places digitized photos of most buildings in the five boroughs of New York City, collected from 1939 to 1941 by the Tax Department with help from the Works Progress Administration, on a map. Zooming in loads georeferenced scans of historical maps, and clicking on a marker opens a panel displaying the historical photos. “80s.NYC” remixed the site, using more recent images from the Department of Finance. Code: https://github.com/jboolean/1940s.nyc, https://github.com/bdon/80s.nyc.
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“A Stroll Down Flatbush Avenue circa 1914” strings together 65 photographs, captured approximately every 50 feet, from the New-York Historical Society’s “Subway construction photograph collection, 1900-1950.” Geometries for the photos, which are often set at nearby intersections, were manually modified, and a mini-map showing those points is navigable with the up and down keys. Code: https://github.com/chriswhong/stroll-down-flatbush.
The entire subway construction photograph collection contains nearly 100 times as many photos as shown along Flatbush Avenue with associated latitudes and longitudes across New York City. What are the best practices for mapping these geotagged archival photos, with imprecise and duplicate locations, as well as rich text metadata like titles, topics, dates, and descriptions?