ArcGIS REST Services Directory
JSON

Layer: Community_Plan_SD (ID:0)

View In:   Map Viewer

Name: Community_Plan_SD

Display Field: CPNAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: Tree Canopy (TC) Assessment metrics for San Diego, CA. This dataset consists of TC metrics summarized using the Community Plan for San Diego (Community_Plan_SD) layer. The metrics presented in this table are based on 2014 high resolution land cover (landcover_2014_sandiego_13b.img). The TC Assessment is a top-down approach to analyzing the forest. Its purpose is to integrate high resolution land cover data with other GIS datasets to produce a set of detailed metrics on the forest that allow decision makers to know how much tree canopy currently exists (termed Existing TC) and amount of land where it is biophysically feasible to establish tree canopy on (termed Possible TC). Existing TC is determined by extracting all features classified as tree canopy from a high resolution land cover dataset. Possible TC is determined by identifying land where canopy could possibly exist. Possible TC in a GIS context is determined by overlaying high resolution land cover with cadastral and planimetric datasets to include building polygons and road polygons. Possible TC is queried out from this overlay and consists of all land that was not existing canopy, not water, not a building, and not a road. Possible TC is further divided into two subcategories: Possible-impervious and Possible-vegetation. Possible-impervious consists of all impervious land that, through modification, could support tree canopy. Examples of such features are parking lots, driveways (through overhanging coverage) and playgrounds. Possible-vegetation consists of all land that is low-lying vegetation, primarily grass or shrubs, which could conceivably be converted to support tree canopy. Examples of such features include residential lawns and playing fields. TC metrics do not serve to address the issues of where it is socially desirable or financially feasible to plant trees. Rather, the TC metrics serve as the basis for beginning to form answers to these questions. TC metrics are presented in the attribute table as both absolute area (in map units) and relative area (percentage of land area) per parcel. For example, an Existing TC Area (TC_E_A) value of 13,677 and an Existing TC Percentage (TC_E_P) of 21.8 indicate that for the parcel in question the area of Existing TC is 13,677 (in map units) and 21.8% of that feature is tree canopy. This table can be joined to the Community_Plan_SD feature class in this field using the TC_ID (a unique ID field created for this project) attribute field or the TC_ID attribute field (from the original feature class).

Copyright Text: University of Vermont Spatial Analysis Laboratory in cooperation with the City of San Diego.

Min. Scale: 0

Max. Scale: 0

Default Visibility: true

Max Record Count: 1000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

Extent:

Drawing Info:

HasZ: false

HasM: false

Has Attachments: false

Has Geometry Properties: true

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Object ID Field: OBJECTID

Unique ID Field:

Global ID Field:

Type ID Field:

Fields:
Templates:

Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 9/19/2018 11:39:06 PM

Schema Last Edit Date: 9/19/2018 11:39:06 PM

Data Last Edit Date: 9/19/2018 11:39:06 PM

Supported Operations:   Query   Query Pivot   Query Top Features   Query Analytic   Query Bins   Generate Renderer   Validate SQL   Get Estimates   ConvertFormat