Thanks to visit codestin.com
Credit goes to github.com

Skip to content

acgold/floodpop

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

FloodPop: High-resolution estimates of the US population in high flood hazard areas

DOI

This repository presents a workflow to create estimates of the US population living in high flood hazard areas using classified building footprints and 2020 decennial Census data with confidence intervals.

Workflow

Files are within the code folder of this repository.

  1. Download data

  2. Classify Overture footprints and fill in any gaps

    • classify_overture.ipynb: Classifies Overture building footprints as "residential", "not residential", or "unclassified" using other sources. Adds any potentially missed buildings. Tags buildings if they intersect the FEMA Special Flood Hazard Area (SFHA), the estimated SFHA, or the footprint of a FEMA study.
  3. Validate building footprint classifications and building counts

    • validate_res_or_not.ipynb: Classifies local parcel datasets and creates spatially joined feature classes for further analysis in R.
    • building_classification_validation.R: Functions to re-create validation of building type ("residential" or "not residential") for Mecklenburg County, NC, Miami-Dade County, FL, and Sacramento, CA.
  4. Estimate confidence intervals for Census data

    • census_error_estimate.ipynb: Follows methods from here to estimate confidence intervals of 2020 decennial census data
  5. Create FloodPop

    • create_floodpop.R: Creates the tabular and geospatial files of FloodPop by merging the building footprint information with census data.
  6. Create Figures and Tables

    • create_figures.R: Creates maps and tables for the corresponding manuscript.

About

High resolution estimates of the US population living in flood-prone areas

Resources

License

Stars

Watchers

Forks

Packages

No packages published