This series of maps covers the whole of Papua New Guinea at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Each standard map covers an area of 1.5 degrees longitude by 1 degree latitude or about 150km from east to west and 110km from north to south. There are more than 50 special maps in the series and these maps cover a non-standard area some also include imagery and additional narrative information. Typically, where a map produced on standard sheet lines is largely ocean it is combined with its landward neighbour. These maps contain natural and constructed features including road and rail infrastructure, vegetation, hydrography, contours (interval 50m), localities and some administrative boundaries. Some maps are supplemented by relief shading. Coverage: Upon completion of revision the series will cover the whole of Australia with 513 maps. Currency: From 1995 to 2007. Coordinates: Geographical and either AMG or MGA (post-1993) Datum: AGD66, (GDA94 compliant at this stage). Projection: Lambert Conformal Conic. Medium: Paper, flat and folded copies.

RadWaste Decision Support System (DSS) allows Dept. Industry and GHD stakeholders to perform multi criteria analysis (MCA) against the 30 mandatory requirements for each land submission for consideration for consideration for the national radioactive waste storage site. The shorlisted sites will need to be suitable for the long-term storage of low-level and medium-level radioactive waste. The storage site is expected to have a 500yr lifecycle; 100 years active, 400 yrs managed closure.

Pixel map image of the Pilbara area. Composite colour image of K (red), U (blue) and Th (green). Each band histogram equalised. 25% of total count added as a gradient to enhance the visibility of small scale structures.

Magnetic anomaly map of Australia 1:25 000 000

Background Explorer is a Geoscience Australia (GA) application, which was sponsored by the Department of Industry (DoI), commencing in 2012. Explorer is a comprehensive and powerful modern web-based decision support tool utilising high quality data products to aid information discovery, visualisation and the modelling of planning and development scenarios using the best available data. Originally developed as a pipeline planning decision support system, Explorer continues to break new ground providing visualisation and decision support for a disparate-range of infrastructure, planning and modelling needs, across government and industry alike. Relevance Explorer provides the ability for government planners, regulators, investors and industry proponents to drill down into specific areas and analyse location information about the geography, infrastructure, geology, resources and the investment potential of Australia. Explorer currently utilises modelling techniques such as multi-criteria analysis for: 1) least cost path route selection and assessment for major infrastructure such as pipelines, roads, rail and transmission lines; and 2) can be further enhanced to identify and assess critical infrastructure location options for infrastructure such as, power stations, airports, ports, renewable energy facilities and water catchment reservoirs. First-pass planning & analysis and delivery of investment opportunities information Explorer brings national and local scale data together from multiple sources with a powerful visualisation capability, in an intuitive interface. Originally designed to provide linear infrastructure first-pass planning, Explorer has been successfully adapted to provide capabilities for investment opportunity analysis, including; economic fairways modelling, offshore marine and fisheries decision support, infrastructure planning and natural hazards modelling. What if analysis The tools provided by Explorer allow the creation of optimal routes or locations for future infrastructure what if modelling tasks, taking into account factors such as terrain, geology, land use restrictions and natural hazards such as flood and earthquake zones. The what-if modelling functionality can be equally applied to future development and investment planning tasks, using appropriate data to provide an overview of the proposed development and investment potential of a geographic region or defined area. Evidenced-based Modelling outputs and planning scenarios are supported by decision support documentation, automatically generated by Explorer. Data provenance including metadata records are provided as evidence of the data and modelling algorithms used, giving complete transparency to the modelling task. Collaborative platform Explorer provides a collaborative workspace, enabling users to create secure projects, where access can be limited to those individuals selected by the project initiator. Future capabilities will allow the saving of sessions within the project workspace. Secure data Explorer is a secure platform allowing users to access predefined data layers and their own data for modelling and assessment purposes. Restricted datasets and modelling outputs are stored securely and access locked down to authorised users only.

The `Inferred Isotopic Domain Boundaries of Australia data set is based on an interpretation of the recently released Neodymium depleted mantle model age map of Australia (GA Record 2013/44). The isotopic map of Australia was produced by gridding two-stage depleted mantle model ages calculated from Sm-Nd isotopic data for just over 1490 samples of felsic igneous rocks throughout Australia. The resultant isotopic map serves as a proxy for bulk crustal ages and accordingly allows the potential recognition of geological domains with differing geological histories. One of the major aims of the Neodymium depleted mantle model age map, therefore, was to use the isotopic map (and associated data) to aid in the recognition and definition of crustal blocks (geological terranes) at the continental and regional scale. Such boundaries are recognisable by regional changes in isotopic signature but are hindered by the variable and often low density of isotopic data points. Accordingly two major procedures have been adopted to locate the regional distribution of such boundaries across the geological continent. In areas of high data density (and high confidence), such as the Yilgarn Craton Western Australia, isotopic data alone was used to delineate crustal domains. In such regions it is evident that identified crustal blocks often but not universally approximate known geological terranes. In areas of moderate data density (and corresponding moderate confidence) (smoothed) boundaries of known geological provinces were used as a proxy for the isotopic boundary. For both high and moderate data densities identified crustal boundaries were extended (with corresponding less confidence) into regions of lower data density. In areas of low data density (and low confidence) boundaries were either based on other geological and/or geophysical data sets or were not attempted. The latter was particularly the case for regions covered by thick sedimentary successions. Two levels of confidence have been documented, namely the level of confidence in the location of the isotopic domain boundary, and the level of confidence that a boundary may actually exist. The `Inferred Isotopic Domain Boundaries of Australia map shows the locations of inferred boundaries of isotopic domains, which are assumed to represent the crustal blocks that comprise the Australia continent. The map therefore provides constraints on the three dimensional architecture of Australia, and allows a better understanding of how the Australian continent was constructed from the Mesoarchean through to the Phanerozoic. It is best viewed as a dynamic dataset, which will need to be refined and updated as new information, such as new isotopic data, becomes available.

No abstract available

Papua New Guinea Mineral Deposits 1:2 500 000 million

No abstract available

Northern Territory Stratigraphy map 1:2.5m