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Layer: NYC_patch_statistics_Numeric (ID:0)

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Name: NYC_patch_statistics_Numeric

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Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <div style="font-family:Arial, Helvetica, sans-serif; color:rgb(34, 34, 34); font-size:small;">This forest patch layer was created using a 2017 high-resolution urban tree canopy map of New York City derived from LiDAR and NAIP imagery (<a href="https://data.cityofnewyork.us/Environment/Tree-Canopy-Change-2010-2017-/by9k-vhck" target="_blank">https://data.cityofnewyork.us/Environment/Tree-Canopy-Change-2010-2017-/by9k-vhck</a>). To identify forest area, tree canopy over impervious surfaces was first subtracted from the canopy layer, including buildings and roads identified from planimetric data available from New York City (https://opendata.cityofnewyork.us/). Morphological spatial pattern analysis (MSPA; Vogt et al. 2007) was then used to distinguish forest patches from remaining tree canopy using an edge parameter of 15 m based on observed changes in vegetation composition and structure (Baker, unpublished data). MSPA applies the edge parameter to distinguish interiors (i.e. ‘cores’) from surrounding edges, as well as five other morphometric primitives (i.e. branches, bridges, loops, and islets) that reflect how canopy is or is not connected to cores. Patches always include core areas and their surrounding edges, as well as any perforations. Patches are separated into two size classes: Forested Natural Areas are patches with greater core area and thickness than Groves.</div><div style="font-family:Arial, Helvetica, sans-serif; color:rgb(34, 34, 34); font-size:small;">Patches are classified by land ownership categories using local parcel data available from New York City (<a href="https://data.cityofnewyork.us/City-Government/Primary-Land-Use-Tax-Lot-Output-PLUTO-/64uk-42ks/data" target="_blank">https://data.cityofnewyork.us/City-Government/Primary-Land-Use-Tax-Lot-Output-PLUTO-/64uk-42ks/data</a>). Ownership categories include: Federal, State, Municipal, Commercial/Industrial, Institutional, and Private Residential owners. Parcels with unknown ownership were assigned Municipal ownership.</div><div style="font-family:Arial, Helvetica, sans-serif; color:rgb(34, 34, 34); font-size:small;">Vogt P, Riitters K H, Estreguil C, Kozak J, Wade T G and Wickham J D 2007 Mapping spatial patterns with morphological image processing Landsc. Ecol. 22 171–7. <a href="https://doi.org/10.1007/s10980-006-9013-2" style="font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:15px;" target="_blank">https://doi.org/10.1007/s10980-006-9013-2</a></div>

Copyright Text: Vogt P, Riitters K H, Estreguil C, Kozak J, Wade T G and Wickham J D 2007 Mapping spatial patterns with morphological image processing Landsc. Ecol. 22 171–7.

Min. Scale: 1155582

Max. Scale: 1128

Default Visibility: true

Max Record Count: 2000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

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HasM: false

Has Attachments: false

Has Geometry Properties: true

HTML Popup Type: esriServerHTMLPopupTypeNone

Object ID Field: FID

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Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 10/16/2024 4:44:05 PM

Schema Last Edit Date: 10/16/2024 4:44:05 PM

Data Last Edit Date: 2/22/2024 3:41:23 PM

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