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Layer: TEMPO_Population_Exposure_Results (ID: 7)

Name: TEMPO_Population_Exposure_Results

Display Field: usng5km

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>This layer displays POST`s relative population exposure rank. The relative exposure of the population is calculated based on the US National Grid System (USNG) as the unit of analysis, in a spatial resolution of either 1km2 and 5km2. First, a Hazard Probability Score (HPS) is calculated for each unit of analysis based on either (i) hazard extent, (ii) the National Risk Index (NRI) or (iii) modeled / observed hazard data, weighted by the number of structures within a cell (utilizing the USA Structures dataset, which includes footprints for all structures (buildings) greater than 450 square feet in the United States and its territories). A high HPS signifies a cell with a relatively large number of structures that are most likely to be severely affected or damaged. To determine potential impacts on vulnerable populations, POST relies on socio-economic and demographic data made available by LandScan USA 2019 (Mohel, 2019) and collected by the American Community Survey (ACS) of the U.S. Census Bureau (e.g., number of elderly people, unemployment rate, number of people on public assistance or food stamps, number of mobile housing units). These data have been aggregated or disaggregated from the administrative block group or census tract division to the USNG division. POST then calculates a weighted Population Vulnerability Scores (PVS) for each affected USNG cell, which in turn, are translated into a relative population exposure rank (values range between 1 and 5, where 1 is the highest exposure rank). A high rank signifies cells that are (1) most likely to be severely affected by the hazard; (2) populated by a relatively large number of structures; and (3) where the most vulnerable population is most likely to be affected.</SPAN></P><P><SPAN /></P><P><SPAN>Contact Details</SPAN></P><P><SPAN>Ran Goldblatt, Ph.D.</SPAN></P><P><SPAN>Chief Scientist</SPAN></P><P><SPAN>New Light Technologies, Inc. (NLT)</SPAN></P><P><SPAN>https://NewLightTechnologies.com</SPAN></P><P><SPAN>Ran.Goldblatt@NLTGis.com</SPAN></P><P><SPAN /></P><P><SPAN>Adam Barker, Ph.D.</SPAN></P><P><SPAN>Geospatial Office | HQ Response</SPAN></P><P><SPAN>adam.barker@fema.dhs.gov</SPAN></P><P><SPAN /></P><P><SPAN>References:</SPAN></P><P><SPAN>Moehl, J., Weber, E., Sims, K., Trombley, N., Weston, S., &amp; Rose, A. (2020). LandScan USA 2019 [Data set]. Oak Ridge National Laboratory. https://doi.org/10.48690/1523374</SPAN></P><P><SPAN /></P></DIV>

Copyright Text: FEMA RGO

Default Visibility: true

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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