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Description
A 2020 geospatial dataset from the NSW Department of Planning, Industry and Environment, predicting the likelihood of Aboriginal heritage site features across New South Wales. The model suite includes separate raster layers for ten feature types, such as stone artefacts and rock art, in both pre-1750 and current landscape forms. Cell values range from 0 to 1000, indicating relative likelihood.
Use Cases
Assess cumulative impact on Aboriginal heritage based on the derived 'drvd_imp' accumulated impacts layer.
Prioritize field survey locations using the 'drvd_srv' survey priority map.
Model pre-colonial distribution of specific site features like burials or scarred trees using the 'p1750XXX' layers.
Evaluate current landscape heritage sensitivity for development planning using the 'curr_XXX' layers.
Strengths
Provides predictions for ten distinct Aboriginal site feature types, including stone artefacts (AFT), rock art (ART), and burials (BUR).
Offers two temporal perspectives for each feature: pre-1750 and current landscape likelihood.
Includes derived products for accumulated impact, reliability, and survey priority.
Covers the entire spatial extent of New South Wales at a 50-meter resolution for Version 7.5.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data may reflect geographic and temporal bias inherent to the source Aboriginal Heritage Information Management System (AHIMS).
Provenance
Source
NSW Department of Planning, Industry and Environment (DPIE), derived from the Aboriginal Heritage Information Management System (AHIMS).
Collection Method
Predictive raster GIS modelling using an environmental distance algorithm.
Time Range
Models represent pre-1750 conditions and the current landscape (circa 2020).
Freshness
Last updated 2026-05-13 03:53:52.069517; freshness should be verified.
Geography
State of New South Wales, Australia.
Data is in Esri GRID format; specialized GIS software (like ArcGIS or QGIS) is required to view and analyze the raster layers.