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Layer: Urban Heat Island Effect (ID: 1)

Name: Urban Heat Island Effect

Display Field: URBANHEATISLANDEFFECT

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This layer displays estimated Urban Heat Island (UHI) intensity at the 2020 U.S. Census tract level using data published by Climate Central as part of its 2023 Urban Heat Hot Spots analysis. The dataset estimates the additional air temperature attributable to the urban built environment relative to surrounding less-developed areas. The UHI values represent the estimated increase in local temperature caused by land cover and characteristics of the built environment rather than ambient weather or regional climate conditions.The underlying Climate Central analysis adapted the modeling approach developed by Sangiorgio et al. (2020) to estimate urban heat island intensity for individual census tracts. Model inputs include land cover characteristics (e.g., impervious surfaces, vegetation, and other natural and built land cover classes), building characteristics, and population density. The factors with the greatest influence on estimated UHI intensity are surface albedo (reflectivity), percentage of green space, and population density. The resulting UHI values estimate how much warmer a census tract is because of its built environment. For example, a census tract with a UHI value of 8°F is estimated to experience temperatures approximately 8°F warmer than they would be in the absence of the local urban heat island effect.Important Considerations ▪ UHI values are modeled estimates, not direct temperature measurements. ▪ Values represent the additional heat attributable to the built environment, independent of daily weather conditions. ▪ Estimates are based on analyses published by Climate Central in 2023 and reflect land cover and built environment characteristics used in that analysis. ▪ Census tract values should be interpreted as average conditions across an entire tract; localized hot or cool spots within a tract are not represented. ▪ The dataset should be used in conjunction with other heat vulnerability indicators (e.g., tree canopy, socioeconomic characteristics, health vulnerability, cooling access, or heat illness data) when prioritizing investments or evaluating community heat riskSource: Climate Central. Urban Heat Hot Spots (2023). Climate Matters, July 26, 2023. Available at: https://www.climatecentral.org/climate-matters/urban-heat-islands-2023"

Copyright Text: Department of Public Works, Department of Energy

Default Visibility: false

MaxRecordCount: 2000

MaxSelectionCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
Drawing Info: Feature Draw Order: Advanced Query Capabilities:
HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
Supported Operations:   Query   Query Attachments   Query Analytic   Generate Renderer   Return Updates

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