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The repository contains codes to extract relevant datasets and the modelling approach used to calculate Risk Scores in Himachal Pradesh.

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CivicDataLab/flood-data-ecosystem-Himachal-Pradesh

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flood-data-ecosystem-Himachal-Pradesh

The repository contains codes to extract relevant datasets and the modelling approach used to calculate Risk Scores in Himachal Pradesh.


Repository Structure

  • Maps/: Contains geospatial data and map visualizations related to flood risk in Himachal Pradesh.
  • Sources/: Includes raw data sources and scripts for data extraction pertinent to the project.
  • requirements.txt: Lists the Python dependencies required to run the scripts in this repository.
  • CITATION.cff: Provides citation information for referencing this repository in academic works.
  • LICENSE: Details the licensing information for the repository.
  • README.md: Offers an overview of the project, including its purpose and structure.

Procurement Datasets

The repository includes scripts to extract and process various datasets essential for modeling flood risk in Himachal Pradesh. Below are some key datasets:

Flood Procurement Data

  • Flood Tenders Data:

    • Contains procurement data related to flood activities in Himachal Pradesh for the financial years 2019 to 2024.
  • Monthly Procurement Data:

    • Contains monthly procurement data for Himachal Pradesh from FY 2019 to 2024.

Sources Directory Structure

data/

Other Procurement Data and Geotagged Files

  • Variables Folder:
    • Includes processed datasets and supporting variables.
  • Geotagged Files:
    • Datasets include geotagged procurement data at the sub-district, tehsil, and district levels:
      • floodtenders_SDgeotagged.csv
      • floodtenders_Tehsil-geotagged.csv
      • floodtenders_districtgeotagged.csv
    • Flood Tenders - All Combined

scripts/

  • Contains scripts for data cleaning, transformation, and analysis to prepare the raw data for modeling and visualization.

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The repository contains codes to extract relevant datasets and the modelling approach used to calculate Risk Scores in Himachal Pradesh.

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