3D LiDAR and Photogrammetry Scans of Housing Conditions in Kowloon City, Hong Kong

This dataset includes six point cloud files from combined photogrammetric and LiDAR scans of housing conditions in Kowloon City, Hong Kong. Each housing condition scan file is designated a case number (e.g., KC201839) in the research project record and in filenames for point cloud files published here. Researchers collected each scan using a single, approximately 10-minute walk-through of each housing condition with the Leica-brand BLK2GO model 3D environment scanner. Each scan describes the interior of a housing condition in high detail and color. Scans have been decimated to a voxel size of 5 mm to reduce file size. The data provide clear enough rendering of the physical conditions of each housing instance to allow interpretation of the scan into description of the house's construction, contents, and spatial use. Calendar dates for when each scan was conducted are given in each case file name in Day.month.year format (e.g., 6.4.24 means the scan was conducted on April 6, 2024).

The data is available immediately but separated from other datasets to protect the personal information of residents of each housing condition. Scan files are provided for purposes of digital conservation and for interpretation of each housing conditions' physical conditions and interior contents through further research. More detailed information on the dataset, including related interview datasets are available upon reviewed request.

The housing conditions shown in this datset are being or were demolished as part of the site area in the Hong Kong Urban Renewal Authority (URA) Nga Tsin Wai Road / Carpenter Road Development Scheme (KC-017). They, therefore, cannot be physically reproduced as the physical architecture and interiors shown no longer exist. Each housing condition consists of one residence occupied by one household, usually within a Chinese shop-house (Tong Lau) or repurposed factory-type building with a concrete beam grid and floor slab structure. Additional information on the exact location of each housing condition is available in ethnographic interview and field note datasets, published separately.