{"help": "https://data.gov.au/data/en/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author_email": null, "contact_point": "clientservices@ga.gov.au", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 2, "geospatial_topic": [], "id": "d22696ca-2a4a-4b2d-a241-963e0c1d3f77", "isopen": false, "language": "eng", "license_id": "notspecified", "license_title": "notspecified", "maintainer": null, "maintainer_email": null, "metadata_created": "2025-11-18T21:43:25.007897", "metadata_modified": "2025-11-18T21:43:25.007904", "name": "predictive-soil-provenancing-psp-an-innovative-forensic-soil-provenance-analysis-tool1", "notes": "Soil is a common evidence type used in forensic and intelligence operations. Where soil composition databases are lacking or inadequate, we propose to use publicly available soil attribute rasters to reduce forensic search areas. Soil attribute rasters, which have recently become widely available at high spatial resolutions, typically three arc-seconds (~90 m), are predictive models of the distribution of soil properties (with confidence limits) derived from data mining the inter-relationships between these properties and several environmental covariates. Each soil attribute raster is searched for pixels that satisfy the compositional conditions of the evidentiary soil sample (target value \u00b1 confidence limits). We show through an example that the search area for an evidentiary soil sample can be reduced to &lt;10% of the original investigation area. This Predictive Soil Provenancing (PSP) approach is a transparent, reproducible and objective method of efficiently and effectively reducing the likely provenance area of forensic soil samples.\nCitation: de Caritat, P., Simpson, T. and Woods, B. (2019), Predictive Soil Provenancing (PSP): An Innovative Forensic Soil Provenance Analysis Tool. J Forensic Sci, 64: 1359-1369. https://doi.org/10.1111/1556-4029.14060", "num_resources": 1, "num_tags": 8, "organization": {"id": "91f054ec-d0c3-4d42-a89a-5daa2c7a6818", "name": "geoscience-australia-data", "title": "Geoscience Australia Data", "type": "organization", "description": "Harvester for Geoscience Australia Data", "image_url": "", "created": "2025-06-23T12:29:08.024111", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://ecat.ga.gov.au", "href": "https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/predictive-soil-provenancing-psp-an-innovative-forensic-soil-provenance-analysis-tool1", "title": "Geoscience Australia"}, "owner_org": "91f054ec-d0c3-4d42-a89a-5daa2c7a6818", "private": false, "promotion_level": "0", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[141.0, -37.6], [153.7, -37.6], [153.7, -28.5], [141.0, -28.5], [141.0, -37.6]]]}", "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[141.0, -37.6], [153.7, -37.6], [153.7, -28.5], [141.0, -28.5], [141.0, -37.6]]]}", "state": "active", "temporal_coverage_from": "2019-04-08 01:55:29", "title": "Predictive Soil Provenancing (PSP): An Innovative Forensic Soil Provenance Analysis Tool", "type": "dataset", "unpublished": false, "url": null, "version": null, "extras": [{"key": "harvest_object_id", "value": "9dddb037-0bbb-47f7-969e-f4513d16242d"}, {"key": "harvest_source_id", "value": "00080910-39e7-408f-882c-e6e1eb6baadb"}, {"key": "harvest_source_title", "value": "Geoscience Australia"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-11-18T21:43:25.013799", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Link to Journal", "format": "HTML", "hash": "", "id": "ded93295-5120-4e16-9842-3284dc41f17a", "last_modified": null, "metadata_modified": "2025-11-18T21:43:24.989614", "mimetype": null, "mimetype_inner": null, "name": "Link to Journal", "package_id": "d22696ca-2a4a-4b2d-a241-963e0c1d3f77", "position": 0, "resource_locator_function": "", "resource_locator_protocol": "WWW:LINK-1.0-http--link", "resource_type": null, "size": null, "state": "active", "url": "https://doi.org/10.1111/1556-4029.14060", "url_type": null, "zip_extract": false}], "tags": [{"display_name": "EARTH SCIENCES", "id": "927af2a7-7457-45c2-bd55-10000fd09c14", "name": "EARTH SCIENCES", "state": "active", "vocabulary_id": null}, {"display_name": "Forensic science", "id": "f1e3b252-0a13-4d42-b823-f07e790d1c9e", "name": "Forensic science", "state": "active", "vocabulary_id": null}, {"display_name": "Geographic Information System", "id": "ab60af87-3362-4bd5-a169-80fef330d8e3", "name": "Geographic Information System", "state": "active", "vocabulary_id": null}, {"display_name": "Published_External", "id": "5178775c-8044-4b7f-881f-5428a4e2d925", "name": "Published_External", "state": "active", "vocabulary_id": null}, {"display_name": "raster operation", "id": "4c905184-ef1c-4ae7-a60d-0fd913bc9c14", "name": "raster operation", "state": "active", "vocabulary_id": null}, {"display_name": "search area", "id": "73fa499e-2257-4dd6-8e17-fc91cce40100", "name": "search area", "state": "active", "vocabulary_id": null}, {"display_name": "soil attribute grid", "id": "af3837b2-6dde-4dbd-9bbe-c5ec0ae8907a", "name": "soil attribute grid", "state": "active", "vocabulary_id": null}, {"display_name": "soil forensics", "id": "346347e3-0bf9-4f19-8ff5-5036f46fddfc", "name": "soil forensics", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}