Human Activity Impact on the Barents Region

Grid cell data covering 6436 cells across 5192 rows models the distance-based impact of infrastructure on the Barents region environment. The dataset was created using the GLOBIO methodology and raw data from the Barents GIT and National Mapping agencies. Its purpose is to provide a tool for policy makers to assess environmental impacts.

Use Cases

• Modeling distance impact from infrastructure on regional ecosystems using the grid cell data.
• Assessing cumulative environmental pressure across the Barents region using the GLOBIO methodology layers.
• Creating policy maps for environmental impact likelihood using the Albers Conical Equal Area projected data.

Strengths

• Grid structure contains 6436 cells organized across 5192 rows.
• Data is georeferenced using a defined Albers Conical Equal Area map projection.

Limitations

• Specific row count for data records is unknown.
• Data format and required tools (ESRI ArcInfo 8.1.0.415) are outdated.

Provenance

Source

CEOS_EXTRA, using raw B1000 data from Barents GIT and National Mapping agencies.

Collection Method

Created using the GLOBIO methodology for assessing human impact.

Geography

Barents region.