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Layer: NYC PLUTO Parcels 2015 (1)

Name: NYC PLUTO Parcels 2015

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Description: DCP Mapping Lots includes features that are not on the Tax Map. They have been added and maintained by DCP for cartographic purpose. There are three kinds of Mapping Lots: street center 'malls' which are small road-divider type blocks separating lanes of traffic on certain streets; Traffic islands which are small traffic lane separators or pedestrian rest stop blocks other than malls (usually at intersections); streets through parks which are streets existing physically in parks but are not part of the Tax Map.

Copyright Text: NYC Department of City Planning, Information Technology Division

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Description: As part of the Framework, the extent of coastal flood hazard was completed by using readily availableSea, Lake, and Overland Surge from Hurricanes (SLOSH) modeling conductedby NOAA. SLOSH modeling of hurricane intensities is categorized by the Saffir-Simpson hurricane wind scale and includes other characteristics of hurricanes that can vary considerably along the coast, such as angle of approach to the shoreline, width and slope of the continental shelf, astronomical high tide level, and local geographic features (FEMA 2011). The SLOSH model outputs inform hurricane evacuation studies. The inundation zones identified by the SLOSH model depict areas of possible flooding from the maximum of maximum (MOM) event within the five categories of hurricanes by estimating the potential surge inundation during a high-tide landfall. Although the SLOSH inundation mapping is not referenced to a specific probability of occurrence (unlike FEMA flood mapping, which presents the 0.2-percent- and 1-percent-annual-chance flood elevation zones) nor does it include wave heights, the flooding inundation from a Category 4 hurricane making landfall during high tide represents an extremely lowprobability of occurrence but high-magnitude event.The intent of the NACCS is to generate a spatially comprehensive, but first-order approximation of flooding vulnerability across the entire northeastern Atlantic coastal region. The use of the SLOSH model MOM was necessary based on the very large spatial extent of the study area and the fact that it is currently the most advanced storm surge modeling available for the entire study area. The extent of the Category 4 MOM represents the maximum storm tide levels caused by extreme hurricane scenarios across the region, and, therefore, provides a reasonable approximation of the most extreme flooding extent. The State and District of Columbia Appendix presents the SLOSH hydrodynamic modeling inundation mapping associated with Categories 1 through 4 hurricanes used for evacuation modeling.

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Layer: Restoration Suitability - Living Shoreline (21)

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Layer: Restoration Suitability - Artificial Reef (22)

Parent Layer: Risk of Coastal Flooding

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Layer: Restoration Suitability - Breakwater Restoration (23)

Parent Layer: Risk of Coastal Flooding

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Layer: Restoration Suitability - Submerged Vegetation (24)

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Layer: Electrical Generator Sites (43)

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Layer: Radio/TV Transmitter Sites (44)

Parent Layer: Critical Infrastructure

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Layer: Social Vulnerability (45)

Sub Layers:
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Layer: Census Tracts with Social Vulnerability Detail (46)

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• FAGE40_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 40 )
• FAGE41_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 41 )
• FAGE42_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 42 )
• FAGE43_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 43 )
• FAGE44_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 44 )
• FAGE45_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 45 )
• FAGE46_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 46 )
• FAGE47_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 47 )
• FAGE48_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 48 )
• FAGE49_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 49 )
• FAGE50_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 50 )
• FAGE51_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 51 )
• FAGE52_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 52 )
• FAGE53_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 53 )
• FAGE54_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 54 )
• FAGE55_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 55 )
• FAGE56_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 56 )
• FAGE57_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 57 )
• FAGE58_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 58 )
• FAGE59_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 59 )
• FAGE60_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 60 )
• FAGE61_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 61 )
• FAGE62_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 62 )
• FAGE63_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 63 )
• FAGE64_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 64 )
• FAGE65_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 65 )
• FAGE66_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 66 )
• FAGE67_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 67 )
• FAGE68_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 68 )
• FAGE69_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 69 )
• FAGE70_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 70 )
• FAGE71_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 71 )
• FAGE72_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 72 )
• FAGE73_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 73 )
• FAGE74_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 74 )
• FAGE75_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 75 )
• FAGE76_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 76 )
• FAGE77_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 77 )
• FAGE78_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 78 )
• FAGE79_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 79 )
• FAGE80_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 80 )
• FAGE81_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 81 )
• FAGE82_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 82 )
• FAGE83_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 83 )
• FAGE84_FY ( type: esriFieldTypeInteger, alias: 2019 Female Population: Age 84 )
• UNEMP_CY ( type: esriFieldTypeInteger, alias: 2014 Unemployed Population 16+ )
• NOHS_CY ( type: esriFieldTypeInteger, alias: 2014 Pop 25+/Educ: <9th Grade )
• SOMEHS_CY ( type: esriFieldTypeInteger, alias: 2014 Pop 25+/Educ: Some High School )
• HINC0_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Inc <$15000 )
• HINC15_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Inc $15000-24999 )
• IA15BASEFY ( type: esriFieldTypeInteger, alias: 2019 HHs by Inc Base/HHr 15-24 )
• A15I0_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc <$15000 )
• A15I15_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc $15K-24999 )
• A15I25_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc $25K-34999 )
• A15I35_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc $35K-49999 )
• A15I50_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc $50K-74999 )
• A15I75_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc $75K-99999 )
• A15I100_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc 100K-149999 )
• A15I150_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc 150K-199999 )
• A15I200_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 15-24/Inc $200000+ )
• MEDIA15_FY ( type: esriFieldTypeInteger, alias: 2019 Median HH Inc: HHr 15-24 )
• AVGIA15_FY ( type: esriFieldTypeInteger, alias: 2019 Avg HH Income: HHr 15-24 )
• IA25BASEFY ( type: esriFieldTypeInteger, alias: 2019 HHs by Inc Base/HHr 25-34 )
• A25I0_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc <$15000 )
• A25I15_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc $15K-24999 )
• A25I25_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc $25K-34999 )
• A25I35_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc $35K-49999 )
• A25I50_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc $50K-74999 )
• A25I75_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc $75K-99999 )
• A25I100_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc 100K-149999 )
• A25I150_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc 150K-199999 )
• A25I200_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 25-34/Inc $200000+ )
• MEDIA25_FY ( type: esriFieldTypeInteger, alias: 2019 Median HH Inc: HHr 25-34 )
• AVGIA25_FY ( type: esriFieldTypeInteger, alias: 2019 Avg HH Income: HHr 25-34 )
• IA35BASEFY ( type: esriFieldTypeInteger, alias: 2019 HHs by Inc Base/HHr 35-44 )
• A35I0_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc <$15000 )
• A35I15_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc $15K-24999 )
• A35I25_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc $25K-34999 )
• A35I35_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc $35K-49999 )
• A35I50_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc $50K-74999 )
• A35I75_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc $75K-99999 )
• A35I100_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc 100K-149999 )
• A35I150_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc 150K-199999 )
• A35I200_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 35-44/Inc $200000+ )
• MEDIA35_FY ( type: esriFieldTypeInteger, alias: 2019 Median HH Inc: HHr 35-44 )
• AVGIA35_FY ( type: esriFieldTypeInteger, alias: 2019 Avg HH Income: HHr 35-44 )
• IA45BASEFY ( type: esriFieldTypeInteger, alias: 2019 HHs by Inc Base/HHr 45-54 )
• A45I0_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc <$15000 )
• A45I15_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc $15K-24999 )
• A45I25_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc $25K-34999 )
• A45I35_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc $35K-49999 )
• A45I50_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc $50K-74999 )
• A45I75_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc $75K-99999 )
• A45I100_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc 100K-149999 )
• A45I150_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc 150K-199999 )
• A45I200_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 45-54/Inc $200000+ )
• MEDIA45_FY ( type: esriFieldTypeInteger, alias: 2019 Median HH Inc: HHr 45-54 )
• AVGIA45_FY ( type: esriFieldTypeInteger, alias: 2019 Avg HH Income: HHr 45-54 )
• IA55BASEFY ( type: esriFieldTypeInteger, alias: 2019 HHs by Inc Base/HHr 55-64 )
• A55I0_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc <$15000 )
• A55I15_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc $15K-24999 )
• A55I25_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc $25K-34999 )
• A55I35_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc $35K-49999 )
• A55I50_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc $50K-74999 )
• A55I75_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc $75K-99999 )
• A55I100_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc 100K-149999 )
• A55I150_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc 150K-199999 )
• A55I200_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 55-64/Inc $200000+ )
• MEDIA55_FY ( type: esriFieldTypeInteger, alias: 2019 Median HH Inc: HHr 55-64 )
• AVGIA55_FY ( type: esriFieldTypeInteger, alias: 2019 Avg HH Income: HHr 55-64 )
• IA65BASEFY ( type: esriFieldTypeInteger, alias: 2019 HHs by Inc Base/HHr 65-74 )
• A65I0_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc <$15000 )
• A65I15_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc $15K-24999 )
• A65I25_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc $25K-34999 )
• A65I35_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc $35K-49999 )
• A65I50_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc $50K-74999 )
• A65I75_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc $75K-99999 )
• A65I100_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc 100K-149999 )
• A65I150_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc 150K-199999 )
• A65I200_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 65-74/Inc $200000+ )
• MEDIA65_FY ( type: esriFieldTypeInteger, alias: 2019 Median HH Inc: HHr 65-74 )
• AVGIA65_FY ( type: esriFieldTypeInteger, alias: 2019 Avg HH Income: HHr 65-74 )
• IA75BASEFY ( type: esriFieldTypeInteger, alias: 2019 HHs by Inc Base/HHr 75+ )
• A75I0_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc <$15000 )
• A75I15_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc $15K-24999 )
• A75I25_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc $25K-34999 )
• A75I35_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc $35K-49999 )
• A75I50_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc $50K-74999 )
• A75I75_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc $75K-99999 )
• A75I100_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc 100K-149999 )
• A75I150_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc 150K-199999 )
• A75I200_FY ( type: esriFieldTypeInteger, alias: 2019 HHr 75+/Inc $200000+ )
• MEDIA75_FY ( type: esriFieldTypeInteger, alias: 2019 Median HH Inc: HHr 75+ )
• AVGIA75_FY ( type: esriFieldTypeInteger, alias: 2019 Avg HH Income: HHr 75+ )
• DIBASE_CY ( type: esriFieldTypeInteger, alias: 2014 HHs by Disposable Incsp Income Base )
• DI0_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc <$15000 )
• DI15_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc $15000-$24999 )
• DI25_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc $25000-$34999 )
• DI35_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc $35000-$49999 )
• DI50_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc $50000-$74999 )
• DI75_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc $75000-$99999 )
• DI100_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc $100000-$149999 )
• DI150_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc $150000-$199999 )
• DI200_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Disposable Inc $200000+ )
• MEDDI_CY ( type: esriFieldTypeInteger, alias: 2014 Median Disposable Income )
• AVGDI_CY ( type: esriFieldTypeInteger, alias: 2014 Average Disposableosable Income )
• DIA15BASCY ( type: esriFieldTypeInteger, alias: 2014 HHs by Disposable Inc Base/HHr 15-24 )
• A15DI0_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc <$15000 )
• A15DI15_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc $15K-24999 )
• A15DI25_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc $25K-34999 )
• A15DI35_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc $35K-49999 )
• A15DI50_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc $50K-74999 )
• A15DI75_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc $75K-99999 )
• A15DI100CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc $100K-149999 )
• A15DI150CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc $150K-199999 )
• A15DI200CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Disposable Inc $200000+ )
• MEDDIA15CY ( type: esriFieldTypeInteger, alias: 2014 Median Disposable Inc: HHr 15-24 )
• AVGDIA15CY ( type: esriFieldTypeInteger, alias: 2014 Average Disposable Inc: HHr 15-24 )
• DIA25BASCY ( type: esriFieldTypeInteger, alias: 2014 HHs by Disposable Inc Base/HHr 25-34 )
• A25DI0_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc <$15000 )
• A25DI15_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc $15K-24999 )
• A25DI25_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc $25K-34999 )
• A25DI35_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc $35K-49999 )
• A25DI50_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc $50K-74999 )
• A25DI75_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc $75K-99999 )
• A25DI100CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc $100K-149999 )
• A25DI150CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc $150K-199999 )
• A25DI200CY ( type: esriFieldTypeInteger, alias: 2014 HHr 25-34/Disposable Inc $200000+ )
• MEDDIA25CY ( type: esriFieldTypeInteger, alias: 2014 Median Disposable Inc: HHr 25-34 )
• AVGDIA25CY ( type: esriFieldTypeInteger, alias: 2014 Average Disposable Inc: HHr 25-34 )
• DIA35BASCY ( type: esriFieldTypeInteger, alias: 2014 HHs by Disposable Inc Base/HHr 35-44 )
• A35DI0_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc <$15000 )
• A35DI15_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc $15K-24999 )
• A35DI25_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc $25K-34999 )
• A35DI35_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc $35K-49999 )
• A35DI50_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc $50K-74999 )
• A35DI75_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc $75K-99999 )
• A35DI100CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc $100K-149999 )
• A35DI150CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc $150K-199999 )
• A35DI200CY ( type: esriFieldTypeInteger, alias: 2014 HHr 35-44/Disposable Inc $200000+ )
• MEDDIA35CY ( type: esriFieldTypeInteger, alias: 2014 Median Disposable Inc: HHr 35-44 )
• AVGDIA35CY ( type: esriFieldTypeInteger, alias: 2014 Average Disposable Inc: HHr 35-44 )
• DIA45BASCY ( type: esriFieldTypeInteger, alias: 2014 HHs by Disposable Inc Base/HHr 45-54 )
• A45DI0_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc <$15000 )
• A45DI15_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc $15K-24999 )
• A45DI25_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc $25K-34999 )
• A45DI35_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc $35K-49999 )
• A45DI50_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc $50K-74999 )
• A45DI75_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc $75K-99999 )
• A45DI100CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc $100K-149999 )
• A45DI150CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc $150K-199999 )
• A45DI200CY ( type: esriFieldTypeInteger, alias: 2014 HHr 45-54/Disposable Inc $200000+ )
• MEDDIA45CY ( type: esriFieldTypeInteger, alias: 2014 Median Disposable Inc: HHr 45-54 )
• AVGDIA45CY ( type: esriFieldTypeInteger, alias: 2014 Average Disposable Inc: HHr 45-54 )
• DIA55BASCY ( type: esriFieldTypeInteger, alias: 2014 HHs by Disposable Inc Base/HHr 55-64 )
• A55DI0_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc <$15000 )
• A55DI15_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc $15K-24999 )
• A55DI25_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc $25K-34999 )
• A55DI35_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc $35K-49999 )
• A55DI50_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc $50K-74999 )
• A55DI75_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc $75K-99999 )
• A55DI100CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc $100K-149999 )
• A55DI150CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc $150K-199999 )
• A55DI200CY ( type: esriFieldTypeInteger, alias: 2014 HHr 55-64/Disposable Inc $200000+ )
• MEDDIA55CY ( type: esriFieldTypeInteger, alias: 2014 Median Disposable Inc: HHr 55-64 )
• AVGDIA55CY ( type: esriFieldTypeInteger, alias: 2014 Average Disposable Inc: HHr 55-64 )
• DIA65BASCY ( type: esriFieldTypeInteger, alias: 2014 HHs by Disposable Inc Base/HHr 65-74 )
• A65DI0_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc <$15000 )
• A65DI15_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc $15K-24999 )
• A65DI25_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc $25K-34999 )
• A65DI35_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc $35K-49999 )
• A65DI50_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc $50K-74999 )
• A65DI75_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc $75K-99999 )
• A65DI100CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc $100K-149999 )
• A65DI150CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc $150K-199999 )
• A65DI200CY ( type: esriFieldTypeInteger, alias: 2014 HHr 65-74/Disposable Inc $200000+ )
• MEDDIA65CY ( type: esriFieldTypeInteger, alias: 2014 Median Disposable Inc: HHr 65-74 )
• AVGDIA65CY ( type: esriFieldTypeInteger, alias: 2014 Average Disposable Inc: HHr 65-74 )
• DIA75BASCY ( type: esriFieldTypeInteger, alias: 2014 HHs by Disposable Inc Base/HHr 75+ )
• A75DI0_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc <$15000 )
• A75DI15_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc $15K-24999 )
• A75DI25_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc $25K-34999 )
• A75DI35_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc $35K-49999 )
• A75DI50_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc $50K-74999 )
• A75DI75_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc $75K-99999 )
• A75DI100CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc $100K-149999 )
• A75DI150CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc $150K-199999 )
• A75DI200CY ( type: esriFieldTypeInteger, alias: 2014 HHr 75+/Disposable Inc $200000+ )
• MEDDIA75CY ( type: esriFieldTypeInteger, alias: 2014 Median Disposable Inc: HHr 75+ )
• AVGDIA75CY ( type: esriFieldTypeInteger, alias: 2014 Average Disposable Inc: HHr 75+ )
• NWBASE_CY ( type: esriFieldTypeInteger, alias: 2014 HHs by Net Worth Base )
• NW0_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth <$15000 )
• NW15_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth $15000-$34999 )
• NW35_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth $35000-$49999 )
• NW50_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth $50000-$74999 )
• NW75_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth $75000-$99999 )
• NW100_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth $100000-$149999 )
• NW150_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth $150000-$249999 )
• NW250_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth $250000-$499999 )
• NW500_CY ( type: esriFieldTypeInteger, alias: 2014 HHs w/Net Worth $500000+ )
• MEDNW_CY ( type: esriFieldTypeInteger, alias: 2014 Median Net Worth )
• AVGNW_CY ( type: esriFieldTypeInteger, alias: 2014 Average Net Worth )
• NWA15BASCY ( type: esriFieldTypeInteger, alias: 2014 HHs by Net Worth Base/HHr 15-24 )
• A15NW0_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Net Worth <$15000 )
• A15NW15_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Net Worth $15K-34999 )
• A15NW35_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Net Worth $35K-49999 )
• A15NW50_CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Net Worth $50K-99999 )
• A15NW100CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Net Worth $100K-149999 )
• A15NW150CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Net Worth $150K-249999 )
• A15NW250CY ( type: esriFieldTypeInteger, alias: 2014 HHr 15-24/Net Worth $250000+ )
• MEDNWA15CY ( type: esriFieldTypeInteger, alias: 2014 Median Net Worth: HHr 15-24 )
• AVGNWA15CY ( type: esriFieldTypeInteger, alias: 2014 Avg Net Worth: HHr 15-24 )
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Layer: Residential Facilities for Children (48)

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Layer: Residentiall Disability Services (50)

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Layer: Historic Wetlands (58)

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Layer: Vegetation (59)

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Description: High resolution land cover dataset for New York City. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at 3 square feet. The primary sources used to derive this land cover layer were the 2010 LiDAR and the 2008 4-band orthoimagery. Ancillary data sources included GIS data (city boundary, building footprints, water, parking lots, roads, railroads, railroad structures, ballfields) provided by New York City (all ancillary datasets except railroads); UVM Spatial Analysis Laboratory manually created railroad polygons from manual interpretation of 2008 4-band orthoimagery. The tree canopy class was considered current as of 2010; the remaining land-cover classes were considered current as of 2008. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. More than 35,000 corrections were made to the classification. Overall accuracy was 96%.

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Layer: Surface Slope Gradient (61)

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