Spatial Risk Systems: Spatial Risk Factors – (Demo/Sample)

Location based Risk Scores - Quantifies Real-World Impact on Assets, Municipalities and Organizations.

Description:

Spatial Risk Scores are designed to measure risk at the location level. The SRS Risk Scores are calculated at the census tract, county, and postal code levels, or on a user-defined geographic area.

Spatial Risk Scores measure the exposure to location-specific factors that have a long-term effect on asset value, environmental impact, operational effectiveness, and social sustainability.

Carbon Transition Scores are based on Scope 1 and Scope 2 carbon emission estimates and measure the social cost of carbon dioxide emissions. Carbon Transition Scores are available at the Census Tract, City, County, and School District levels.

Scope 1 (direct) emissions are a direct product of entity activities such as energy generated by burning fossil or other organic fuel, fuels used for transportation, cement production, etc.

Scope 2 emissions (indirect) are the result of the energy consumption, heating and cooling, food preparation and other needs.

Samples/Tables Included:
– us_county_risk_demo
– us_county_climate_demo c
– us_county_carbon_demo u
– us_county_epa_demo u
– us_county_environmental_demo u

Fields Included:
COUNTY_FIPS_CODE
COUNTY
STATE
Postal Code
SRS_RISK_SCORE
SRS_CIMATE_IMPACT_SCORE
SRS_ENVIRONMENTAL_RISK_SCORE
SRS_COMMUNITY_RESLIENCE_SCORE
SRS_SOCIAL_VULNERABILITY_SCORE
WILDFIRE_RISK
WIND_RISK
DROUGHT_RISK
SP_CO2_S1
SP_CO2_S2
SOCIAL_COST_OF_CARBON_USD_TOTAL
CARBON_TRANSITION_RISK_SCORE_NATIONAL_LEVEL
FACILITY_COUNT_SUBJECT_TO_EPA_OVERSIGHT
ANNNUAL_DIRECT_GHG_EMISSIONS_IN_METRIC_TONS
EPA_SUPER_FUND_SITES_SFS_COUNT
NATL_PERCENTILE_AIR_TOXICS_CANCER_RISK
NATL_PERCENTILE_TRAFFIC_PROXIMITY_VOLUME
NATL_PERCENTILE_OZON_LEVEL

About the Provider:

SRS is an innovative data and analytics company that has engineered the first global ‘spatial knowledge graph’ to measure and quantify corporate and government location-based risks. We’ve unified hundreds of open data and proprietary sets into a single fact table. From this highly connected data graph, SRS has engineered a Spatial Risk Factor Library with over 100 factors organized into four major components that can easily be embedded with other financial and non-financial data sources to quantify the real-world impacts to assets, transactions, and portfolios
– Climate Change
– Carbon Emissions
– Environment Impact
– Socio-Economic

Visit the provider’s website for more information

 

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