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Issue 883: Update FEMA risk index measure (#884)

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* ETL updated

* Adding three fields to score
This commit is contained in:
Lucas Merrill Brown 2021-11-13 11:32:15 -05:00 • committed by GitHub
commit 21834b4a91
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8 changed files with 114 additions and 82 deletions
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9
data/data-pipeline/data_pipeline/score/field_names.py
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@ -60,6 +60,15 @@ FEMA_RISK_FIELD = "FEMA Risk Index Expected Annual Loss Score"
FEMA_EXPECTED_ANNUAL_LOSS_RATE_FIELD = (
"FEMA Risk Index Expected Annual Loss Rate"
)
EXPECTED_BUILDING_LOSS_RATE_FIELD_NAME = (
"Expected building loss rate (Natural Hazards Risk Index)"
)
EXPECTED_AGRICULTURE_LOSS_RATE_FIELD_NAME = (
"Expected agricultural loss rate (Natural Hazards Risk Index)"
)
EXPECTED_POPULATION_LOSS_RATE_FIELD_NAME = (
"Expected population loss rate (Natural Hazards Risk Index)"
)
# Environment
DIESEL_FIELD = "Diesel particulate matter"

32
data/data-pipeline/data_pipeline/score/score_l.py
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@ -64,19 +64,37 @@ class ScoreL(Score):
# Low income: In 60th percentile or above for percent of block group population
# of households where household income is less than or equal to twice the federal
# poverty level. Source: Census's American Community Survey]
climate_criteria = (
(
self.df[
field_names.EXPECTED_BUILDING_LOSS_RATE_FIELD_NAME
+ field_names.PERCENTILE_FIELD_SUFFIX
]
> self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
| (
self.df[
field_names.EXPECTED_AGRICULTURE_LOSS_RATE_FIELD_NAME
+ field_names.PERCENTILE_FIELD_SUFFIX
]
> self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
| (
self.df[
field_names.EXPECTED_POPULATION_LOSS_RATE_FIELD_NAME
+ field_names.PERCENTILE_FIELD_SUFFIX
]
> self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
)
return (
self.df[
field_names.POVERTY_LESS_THAN_200_FPL_FIELD
+ field_names.PERCENTILE_FIELD_SUFFIX
]
> self.LOW_INCOME_THRESHOLD
) & (
self.df[
field_names.FEMA_EXPECTED_ANNUAL_LOSS_RATE_FIELD
+ field_names.PERCENTILE_FIELD_SUFFIX
]
> self.ENVIRONMENTAL_BURDEN_THRESHOLD
)
) & climate_criteria
def _energy_factor(self) -> bool:
# In Xth percentile or above for DOE’s energy cost burden score (Source: LEAD Score)