(Pluto 2016)
To capture characteristics of the area , the dataset contains detailed information about the lot where each building is located. Some features are the borough, the tax block, the tax lot, the Community District, Census Tract, Census Block, the City Council District and Zip code where it belongs. In addition to Fire company which defines the fire company that serves the tax lot, Police Precinct, Health Area, and Sanitation District where the lot is located. And specific information about the lot like Lot depth and Lot Frontage, the kind of lot , the total value of the lot and the value of the land.
Moreover, the dataset contains particular information about the building itself. Although there is some general data, such as the address or the zoning area; they are specific features which define each building. Some of these features are the year that was built or renovated, the number of floors, floor area, and floor area depends on category (Office, commercial, residential, etc.). Added to Number of units either in the residential category or residential and commercial, building frontage and depth measured in feet, location of the building regarding the lot and the street (ProxCode).
This dataset was reduced to the exact number of buildings which integrated the LL84, and they were merged on borough-block-lot (BBL) level. The features selected from this dataset were: Year of renovation if the buildings was renovated, ProxCode (variable to differentiate attached, semi-attached or detached buildings), Assessed value of the land , Assessed value of the total, The lot frontage, Lot depth, Building depth building frontage, Floor area and Number of units.