From the NYC Landmark Preservation Council:
The New York City Landmarks Preservation Commission (LPC) [recently] launched a new, enhanced version of its interactive map Discover NYC Landmarks that for the first time includes easily accessible and detailed information on each of the nearly 34,000 historic buildings within the City’s 141 historic districts. This release complements the map’s existing information on the more than 1,400 individual landmarks, and provides an unparalleled resource for understanding and exploring the city’s built heritage. The LPC’s web map is based on the largest and most comprehensive historic building data collection created by any municipal preservation agency in the United States.
The Discover NYC Landmarks map, which is designed to be accessible from computers, smartphones, and tablets, allows the public to easily search, navigate and explore the City’s designated landmarks and historic districts. New features include pop-ups for each building in historic districts with information such as construction date, architect, style, building type and original use.
The map now also contains new tools to search and filter historic district building data. Map users can search and filter by characteristics such as architectural style, architect, building type and era of construction.
For example, with the new filtering tool, users can easily identify and visualize every apartment building in the Upper West Side Historic District or every Queen Anne Style rowhouse in the Bedford Historic District. This will allow for a greater understanding and appreciation of New York City’s historic buildings and neighborhoods.
The new building data featured on the map is the result of LPC’s Historic Building Data Project, funded by The New York Community Trust.
Prior to the LPC’s release, information about the buildings in historic districts was available, but in the form of scanned documents that could not be easily searched, compared or analyzed.
Read the Complete Launch Announcement
Hat Tip: Arch Newspaper