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fixing merge conflicts
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The following dataset was compiled by TPL (Trust for Public Lands) using NCLD data. We define as: AREA - [CROPLAND] - [IMPERVIOUS SURFACES].
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## Codebook
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## Codebook
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- GEOID10 – Census tract ID
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- SF – State Name
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- CF – County Name
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- AcresCrops – Acres crops calculated by summing all cells in the NLCD Cropland Data Layer crop classes.
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- PctCrops – Formula: AcresCrops/TractAcres*100.
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- PctImperv – Mean imperviousness for each census tract.
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- CAVEAT: Where tracts extend into open water, mean imperviousness may be underestimated.
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- CAVEAT: Where tracts extend into open water, mean imperviousness may be underestimated.
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- __TO USE__ PctNatural – Formula: 100 – PctCrops – PctImperv.
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- PctNat90 – Tract in or below 10th percentile for PctNatural. 1 = True, 0 = False.
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- PctNatural 10th percentile = 28.6439%
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- P200_PFS 65th percentile = 64.0%
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- NatureDep – ImpOrCrp = 1 AND LowInAndEd = 1.
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We added `GEOID10_TRACT` before converting shapefile to csv.
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We added `GEOID10_TRACT` before converting shapefile to csv.
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## Instructions to recreate
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# pylint: disable=unsubscriptable-object
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# pylint: disable=unsupported-assignment-operation
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import pandas as pd
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from data_pipeline.config import settings
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from data_pipeline.etl.base import ExtractTransformLoad, ValidGeoLevel
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from data_pipeline.etl.base import ExtractTransformLoad
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from data_pipeline.etl.base import ValidGeoLevel
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from data_pipeline.utils import get_module_logger
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logger = get_module_logger(__name__)
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