20260719
17462300
1.0
FALSE
REF.UrbanHeatIslandEffect
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_III_FIPS_0403_Feet
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20260610
17361800
20260714
11302100
150000000
5000
FGDC
Esri ArcGIS 13.4.5.55405
REF.UrbanHeatIslandEffect
Urban heat island (UHI) index values for census tracts in San Jose. UHI index values come from analyses performed by Climate Central in 2023.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P><P><SPAN /></P><P><SPAN>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.</SPAN></P><P><SPAN /></P><P><SPAN>Important Considerations</SPAN></P><P><SPAN> ▪ UHI values are modeled estimates, not direct temperature measurements.</SPAN></P><P><SPAN> ▪ Values represent the additional heat attributable to the built environment, independent of daily weather conditions.</SPAN></P><P><SPAN> ▪ Estimates are based on analyses published by Climate Central in 2023 and reflect land cover and built environment characteristics used in that analysis.</SPAN></P><P><SPAN> ▪ Census tract values should be interpreted as average conditions across an entire tract; localized hot or cool spots within a tract are not represented.</SPAN></P><P><SPAN> ▪ 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 risk</SPAN></P><P><SPAN /></P><P><SPAN>Source: Climate Central. Urban Heat Hot Spots (2023). Climate Matters, July 26, 2023. Available at: https://www.climatecentral.org/climate-matters/urban-heat-islands-2023"</SPAN></P></DIV></DIV></DIV>
Department of Public Works, Department of Energy
Climate Smart
Energy
City
San Jose
REF
Urban
Heat
Island
Effect
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>Public Access, Citywide access (all city departments)</SPAN></P></DIV></DIV>
Enterprise Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
REF.UrbanHeatIslandEffect
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
FACILITYID
Facility Identifier
String
20
0
0
INTID
Integer ID
Integer
4
10
0
CITY
City
String
20
0
0
CENSUSTRACT
Census Tract Number
String
25
0
0
FORSB1221
For SB1221
String
5
0
0
URBANHEATISLANDEFFECT
Urban Heat Island Effect (°F)
Double
8
38
8
CREATIONDATE
Creation Date
Date
8
0
0
CREATOR
Creator
String
25
0
0
LASTUPDATE
Last Update Date
Date
8
0
0
LASTEDITOR
Last Editor
String
40
0
0
NOTES
Notes
String
255
0
0
ENTERPRISEID
Enterprise ID
String
20
0
0
GlobalID
GlobalID
GlobalID
38
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20260714