The Annual Arts in Schools Report includes data about arts teachers, arts budgeting, space for the arts, partnerships with arts and cultural organizations and parent involvement for elementary, middle and high schools. These reports help school administrators, parents and students understand how their schools are progressing towards offering universal arts education to all students.
The Daily Fleet Service Report provides information on overall vehicle availability for all agencies within the City fleet, including the "DCAS Managed" fleet, which serves a number of Mayoral agencies. It also includes the Critical Fleet Summary, which tracks availability of vehicles assigned to key programs or functions, as well as availability of seasonal vehicles. For more information, visit http://www.nyc.gov/html/dcas/html/employees/fleet.shtml.
A 6-in resolution tree canopy change (2010 - 2017) dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset represents a "top-down" mapping perspective and all tree polygons are classed as: (1) No Change, (2) Gain, (3) Loss. No change indicates that this portion of the canopy has undergone no modifications during the time period. Gain indicates that new tree canopy has appeared during the time period. Loss indicates that this portion of the tree canopy was removed during the time period.
A 6-in resolution 8-class land cover dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset was developed as part of an updated urban tree canopy assessment and therefore represents a ''top-down" mapping perspective in which tree canopy overhanging features is assigned to the tree canopy class. The eight land cover classes mapped were: (1) Tree Canopy, (2) Grass\Shrubs, (3) Bare Soil, (4) Water, (5) Buildings, (6) Roads, (7) Other Impervious, and (8) Railroads. The primary sources used to derive this land cover layer were 2017 LiDAR (1-ft post spacing) and 2016 4-band orthoimagery (0.5-ft resolution). Object based image analysis was used to automate land-cover features using LiDAR point clouds and derivatives, orthoimagery, and vector GIS datasets --
City Boundary (2017, NYC DoITT)
Buildings (2017, NYC DoITT)
Hydrography (2014, NYC DoITT)
LiDAR Hydro Breaklines (2017, NYC DoITT)
Transportation Structures (2014, NYC DoITT)
Roadbed (2014, NYC DoITT)
Road Centerlines (2014, NYC DoITT)
Railroads (2014, NYC DoITT)
Green Roofs (date unknown, NYC Parks)
Parking Lots (2014, NYC DoITT)
Parks (2016, NYC Parks)
Sidewalks (2014, NYC DoITT)
Synthetic Turf (2018, NYC Parks)
Wetlands (2014, NYC Parks)
Shoreline (2014, NYC DoITT)
Plazas (2014, NYC DoITT)
Utility Poles (2014, ConEdison via NYCEM)
Athletic Facilities (2017, NYC Parks)
For the purposes of classification, only vegetation > 8 ft were classed as Tree Canopy. Vegetation below 8 ft was classed as Grass/Shrub.