# Source: GRIP4 (Global Roads Inventory Project v4)
# Type: vector
# Catalog: Manual
# Created for: CBGB benchmark problems

source:
  id: globio-grip4
  name: GRIP4 Global Roads Inventory
  type: vector
  url: https://www.globio.info/download-grip-dataset
  description: >
    The Global Roads Inventory Project version 4 (GRIP4) provides a harmonized
    global roads dataset compiled from government and commercial sources. It
    contains over 21 million km of roads classified into 5 types based on
    importance (highways, primary, secondary, tertiary, local/urban). The
    dataset was created to support global biodiversity and environmental
    impact assessments, particularly road ecology studies analyzing habitat
    fragmentation, roadkill risk, and accessibility modeling.
  provider: GLOBIO / PBL Netherlands Environmental Assessment Agency
  license: CC-BY-4.0
  metadata:
    connector_id: null
    tags:
    - Roads
    - Infrastructure
    - Transport
    - Global
    - Vector
    - GRIP
    - Accessibility
    - Fragmentation
    dataset:
      tier: 2
      thematic_group: Infrastructure & Transport
      format: shapefile
      crs: EPSG:4326
      fields:
      - id: GP_RTP
        description: Road type (1=highway, 2=primary, 3=secondary, 4=tertiary, 5=local/urban)
        dtype: int32
      - id: GP_RSE
        description: Road surface estimate (1=paved, 2=unpaved, 3=unknown)
        dtype: int32
      - id: GP_RFU
        description: Road functional use
        dtype: int32
      - id: GP_RAC
        description: Road access control
        dtype: int32
      - id: GP_GROAD
        description: Unique road segment identifier
        dtype: int64
      - id: GP_SRC
        description: Source dataset identifier
        dtype: string
      temporal:
        range: 2018-01-01/2018-12-31
        frequency: static
        type: snapshot
        default_range: latest
      quality:
        methodology: >
          Compiled from 60+ sources including OpenStreetMap, government
          road databases, and commercial datasets. Harmonized into a
          consistent global classification scheme. Completeness varies
          by region and road type.
        accuracy: >
          Highway and primary road completeness >90% globally. Secondary
          and tertiary roads less complete in developing regions. Positional
          accuracy varies by source. See Meijer et al. 2018, Environmental
          Research Letters 13(6).
        coverage: global
      layout:
        type: partitioned
        parameters:
        - var: region
          description: Continental region
          values:
          - Africa
          - Asia
          - Europe
          - NorthAmerica
          - Oceania
          - SouthAmerica
      access:
        type: http
        url: https://www.globio.info/download-grip-dataset
        notes: >
          Free download by continent as shapefiles. Registration may be
          required. Also available on Google Earth Engine as community
          datasets (projects/sat-io/open-datasets/GRIP4/{region}).
      original_source_url: https://www.globio.info/download-grip-dataset
      homepage: https://www.globio.info/download-grip-dataset
      gee_asset_id: projects/sat-io/open-datasets/GRIP4/Africa
      cbgb_problems:
      - EBA_A1.3_A1