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revised documentation

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Saran Ahluwalia 2021-12-29 09:05:48 -05:00
parent 84c8a4a789
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16
data/data-pipeline/data_pipeline/etl/sources/tree_equity_score/etl.py
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@ -15,10 +15,10 @@ class TreeEquityScoreETL(ExtractTransformLoad):
canopy, we utilize a basic multiplier of 600 sq-ft (55.74 sq-m) of canopy area
per urban tree assuming a medium-size urban tree crown width of 25-30 ft.
Sources:
1. Tree canopy cover. High resolution tree canopy where available,
the National Land Cover Database where it is not.
2. Census American Community Survey (ACS) 2018 5-year Block Group population estimates
3. Census ACS 2018 5-year city and block group Median Income estimates
1. Tree canopy cover. High resolution tree canopy where available.
In the event tree canopy is not defer to National Land Cover Database.
2. Census American Community Survey (ACS) 2018 5-year Block Group population estimates.
3. Census ACS 2018 5-year city and block group Median Income estimates.
"""
def __init__(self):
@ -113,15 +113,15 @@ class TreeEquityScoreETL(ExtractTransformLoad):
"total_pop", # Total Population according to ACS Estimates
"state",
"county",
"dep_ratio", # dependent ratio
"child_perc", # Children (Age 0 -17)
"dep_ratio", # Dependent ratio
"child_perc", # Children (Age 0 -17) (ACS 2014 - 2018)
"seniorperc", # Seniors (Age 65+) (ACS 2014 - 2018)
"treecanopy", # Tree canopy cover
"area", # Source: https://www.fs.fed.us/nrs/pubs/gtr/gtr_nrs200.pdf
"source",
"avg_temp", # Average Temperature from USGS Earth Explorer
"ua_name",
"incorpname",
"incorpname", # Incorporated place name
"congressio", # Congressional District
"biome",
"bgpopdense",
@ -129,7 +129,7 @@ class TreeEquityScoreETL(ExtractTransformLoad):
"tc_gap", # Tree canopy gap
"tc_goal", # Tree canopy goal
"priority", # Priority community according to the index
"tes", # tree equity score
"tes", # Tree equity score
"tesctyscor", # tree equity score for the county
"geometry", # block group geometry coordinates
]