This analysis computes a social vulnerability score for per associated zone in census data. The computation
extracts zoning and a social vulnerability score obtained by computing demographic features of interest against
national average values.
The output of the computation is a dataset in CSV format.
Contributors
Science: Elaina Sutley, Amin Enderami
Implementation: Amin Enderami, Santiago Núñez-Corrales, and NCSA IN-CORE Dev Team
Related publications
Enderami, S. A., and Sutley, E. (2024). Social vulnerability score: a scalable index for representing social
vulnerability in virtual community resilience testbeds. Natural Hazards. https://doi.org/10.1007/s11069-024-06499-z
Input parameters
key name
type
name
description
result_name*
str
Result name
Name of the result dataset.
year*
int
Year
Census year for the input datasets.
state*
str
State
State according to US Census.
county*
str
County
County according to US Census.
census_geo_level*
str
Census geographic level
Geographic level of granularity described by the dataset.
A dataset containing results (format: CSV) with social vulnerability score at the required geographic level.
(* required)
Execution
code snippet:
# Create social vulnerability analysis instancesva=SocialVulnerability(client)# Load input datasetsva.load_remote_input_dataset("national_vulnerability_feature_averages",national_vulnerability_feature_averages)sva.load_remote_input_dataset("social_vulnerability_demographic_factors",social_vulnerability_demographic_factors)# Specify the result nameresult_name="social_vulnerabilty"# Set analysis parameterssva.set_parameter("result_name",result_name)sva.set_parameter("year",year)sva.set_parameter("state",state)sva.set_parameter("county",county)sva.set_parameter("census_geo_level",census_geo_level)# Run social vulnerability analysissva.run_analysis()
Social vulnerability#
Description
This analysis computes a social vulnerability score for per associated zone in census data. The computation extracts zoning and a social vulnerability score obtained by computing demographic features of interest against national average values.
The output of the computation is a dataset in CSV format.
Contributors
Science: Elaina Sutley, Amin Enderami
Implementation: Amin Enderami, Santiago Núñez-Corrales, and NCSA IN-CORE Dev Team
Related publications
Enderami, S. A., and Sutley, E. (2024). Social vulnerability score: a scalable index for representing social vulnerability in virtual community resilience testbeds. Natural Hazards. https://doi.org/10.1007/s11069-024-06499-z
Input parameters
key name
type
name
description
result_name
*str
Result name
Name of the result dataset.
year
*int
Year
Census year for the input datasets.
state
*str
State
State according to US Census.
county
*str
County
County according to US Census.
census_geo_level
*str
Census geographic level
Geographic level of granularity described by the dataset.
Input datasets
key name
type
name
description
national_vulnerability_feature_averages
*incore:socialVulnerabilityFeatureAverages
National vulnerability feature averages
National averages for features determining social vulnerability.
social_vulnerability_demographic_factors
*incore:socialVulnerabilityDemFactors
Demographic factors
social vulnerability demographic factors for a given geographic type.
Output datasets
key name
type
parent key
name
description
sv_result
*incore:socialVulnerabilityScore
social_vulnerability_score
Results
A dataset containing results (format: CSV)
with social vulnerability score at the required geographic level.
(* required)
Execution
code snippet:
full analysis: social_vulnerability.ipynb