Flora Habitat Suitability Models for NSW Forest Regions

Spatial Services (DCS) provides a series of habitat suitability models for flora species across New South Wales Regional Forest Agreement regions. The models output habitat suitability as probability values, with data currency from January 1, 2000, and were initially published in August 2022. The data is delivered as an ArcGIS REST service with TIFF raster format and uses the GDA94 spatial reference system.

Use Cases

• Train geospatial models to predict habitat suitability probability for specific flora species across NSW forest regions.
• Analyze the spatial distribution of habitat suitability for conservation planning and forest management.
• Integrate the probability layers with other environmental datasets to assess threats to flora species.

Strengths

• Models provide habitat suitability as a standardized probability metric for analysis.
• Data has a defined spatial reference system (GDA94/EPSG:4326) ensuring geographic accuracy.
• Officially published and maintained by a government agency (Spatial Services, DCS).

Limitations

• The underlying data currency date is January 1, 2000, which may not reflect current habitat conditions.
• Specific model details, species covered, and validation metrics are not provided in the available metadata.
• Access requires familiarity with ArcGIS REST services or geospatial tools to utilize the TIFF raster data.

Provenance

Source

Spatial Services (DCS), New South Wales Government

Collection Method

A series of habitat suitability models, likely generated using species distribution modeling techniques.

Time Range

Data currency date is January 1, 2000.

Freshness

Data currency is from 2000, with a metadata record last updated in March 2026.

Geography

New South Wales, specifically the Regional Forest Agreement (RFA) regions.