ArcGIS REST Services Directory Login | Get Token
JSON | SOAP | WMS

WebMapServices/Forestry_Grant_Screening_Service (MapServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth   ArcMap   ArcGIS Pro

View Footprint In:   ArcGIS Online Map Viewer

Service Description:

A map to be utilized as a part of a screening tool for Urban and Community Forestry Grant funding.

This map contains two data feature layers. One feature layer shows Kentucky census tracts that qualify as disadvantaged based on Climate and Economic Justice Screening Tool Data. Qualifications are based on meeting 1 or more burden thresholds AND the associated economic threshold per U.S. census tract. Burdens considered fall into eight categories: climate change, energy, health, housing, legacy pollution, transportation, water and wastewater, and workforce development. The data identifies communities that are experiencing these burdens. These are the communities that are disadvantaged because they are overburdened and underserved.

The second feature layer is based on the American Forests developed Tree Equity Score to address damaging environmental inequities in tree distribution common to cities and towns all across the U.S. Tree Equity Score establishes an equity-first standard to guide investment in critical urban tree infrastructure, starting with neighborhoods with the greatest need. Score indicators utilized include population of children and seniors, linguistic isolation, health burden index, heat disparity, people in poverty, unemployment, people of color and canopy cover by U.S. census block.



Map Name: PROD - Urban and Community Forestry Grant Screening Map

Legend

All Layers and Tables

Dynamic Legend

Dynamic All Layers

Layers: Tables: Description:

A map to be utilized as a part of a screening tool for Urban and Community Forestry Grant funding.

This map contains two data feature layers. One feature layer shows Kentucky census tracts that qualify as disadvantaged based on Climate and Economic Justice Screening Tool Data. Qualifications are based on meeting 1 or more burden thresholds AND the associated economic threshold per U.S. census tract. Burdens considered fall into eight categories: climate change, energy, health, housing, legacy pollution, transportation, water and wastewater, and workforce development. The data identifies communities that are experiencing these burdens. These are the communities that are disadvantaged because they are overburdened and underserved.

The second feature layer is based on the American Forests developed Tree Equity Score to address damaging environmental inequities in tree distribution common to cities and towns all across the U.S. Tree Equity Score establishes an equity-first standard to guide investment in critical urban tree infrastructure, starting with neighborhoods with the greatest need. Score indicators utilized include population of children and seniors, linguistic isolation, health burden index, heat disparity, people in poverty, unemployment, people of color and canopy cover by U.S. census block.



Copyright Text: Original CEJST data created by Council on Environmental Quality. Kentucky data clipped, decimal percentiles converted to whole values and binary/Boolean data columns had string yes/no values added by Rebecca Ramsey (Kentucky Division of Forestry). American Forests and their collaborators. Accessed on November 1 2023, and reproduced for KY specific data by Rebecca Ramsey (Kentucky Division of Forestry).

Spatial Reference: 102100  (3857)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: true

MaxRecordCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryDomains   QueryLegends   Find   Return Updates   Generate KML