• Use the then-new 2010 Census data • Include new environmental data • Make use of LiDAR–derived land cover information 9 Prioritizing Street Tree Planting
Forest Service. It identifies and combines a range of variables to determine where planting is preferable (tier 1) and where planting is possible (tier 2) The values for each variable are identified to the smallest possible geography, weighted by importance, and standardized to a “Z-score.” 10 Prioritizing Street Tree Planting
Neighborhood Tabulation Areas (NTAs) and includes the following variables: • Lack of existing tree canopy (from LiDAR) – weighted 5x • High population density – weighted 2x • High airborne particulate Matter (PM2) • High surface temperature (2002 LANDSAT) • Low percentage impervious surface 11 Prioritizing Street Tree Planting
tracts and includes the following variables: • Low street tree stocking level – weighted 2x • More tree requests (from 311) • More tree removals 13 Prioritizing Street Tree Planting
It simply tells foresters where to look first. The results of this method have been guiding the last several seasons of street tree planting. 17 Prioritizing Street Tree Planting
cloud that informs the land cover raster and metrics openly available on NYC Open data at: https://nycopendata.socrata.com/ 18 Prioritizing Street Tree Planting