1. Visualising spatial archaeological data The Aboriginal Sites Decision Support Tool (ASDST) Mal Ridges

2. http://www.environment.nsw.gov.au/licences/AboriginalSitesDecisionSupportTool.htm Aboriginal sites decision support tool ASDST:

3. GIS layer Corp. database Data Tool or algorithm KEY: Current model Feature Data Spatial variables AHIMS Pre1750 model All modelled Feature types ASLUs Accum. Impact model GRASP Muti-resolution Segmentation Land-Use Layer Vulnerability parameters Current Condition calculator Accum. impact calculator All modelled Feature types SGA algorithm Model reliability All modelled Feature types Reliability model Survey Priority calculator All modelled Feature types Survey priority model

10. Model testing using withheld data: Stone artefacts:Scarred trees: Models were built with 2007 site data Since then ~10,000 sites have been added to the database Independent data, but also suffers the same inherent recording biases

11. CONCLUSION: Both models perform well, predicting high likelihood for the majority of sites. The ASDST model performs slightly better (fewer sites with low likelihood) Comparison with Pardoe / Martin model: Predictive accuracy comparison: NOTE: Measured against current AHIMS data (including RERP data not used to build either model) Low likelihoodHigh likelihood Predictions for AHIMS sites

12. Survey priority Survey priority combines: large data gap low impact high current likelihood Mined areas that have been the focus of much assessment are LOW survey priority Data gaps and low impact areas are HIGH survey priority Survey priority

13. Impacts in the Hunter Valley Scarred tree model pre1750 Scarred tree model current

14. http://www.gbif.org/ These tools can be automated Providing users with custom results for defined regions Result: better contextual data for decision making

15. Accumulated impacts Using the difference between the pre1750 and current version of each model, the level of impact can be mapped This maps some impacts across all feature types modelled Highest impacts occur in mined areas, irrigated cropping and urban extent

16. Segmentation for CMA Multi-resolution segmentation on current models 53,386 segments mapped for the CMA Average area is 190 Ha Information can be tagged to each segment The information can be used for property scale planning

17. Take home message All this is possible just from using site type + location BUT…its focused on generating landscape scale data that supports decision making It also provides simple information that can be used by non-archaeologists in order to trigger appropriate assessment Derived information from the ASDST is easy to deliver through on-line tools: eg regional profiling