These datasets are intended to be used with the National Geoscience Datasets as reference graticules with coding of latitude and longitudinal positions.

In this study, a methodology is developed to assess the vulnerability of individuals within households to risk from natural hazards. The methodology introduces a technique for measuring certain attributes of individuals living within a household that contribute to their vulnerability to a natural hazard impact. The methodology has four main steps; 1) indicator selection 2) a risk perception questionnaire 3) decision tree analysis 4) synthetic estimation. Step four involves an application to an area in Perth, Western Australia. The study found that, through the application of this new methodology, eleven unique combinations of specific attributes contribute to the vulnerability of an individual within a household. The attributes, referred to as vulnerability indicators, of most importance relate to various levels of; injury sustained, residence damage, house insurance, income and type of house ownership. This finding suggests that individual and household finances, when combined with other specific indicators, play a significant role in determining an individual's vulnerability to a natural hazard impact. The combinations of indicators can be mapped in order to provide a useful tool for representing aspects of social vulnerability to natural hazard impacts.

The Christmas Island Geographic Information System (CIGIS) is a collection of spatial data, viewing and analysis tools dealing with Christmas Island, Indian Ocean. The data includes orthophotography, topographic, mining, cultural and environmental features of the island. This work is part of an ongoing service to the Territories West of the Attorney General's Department.

The Cocos Keeling Islands Geographic Information System (CocosGIS) is a collection of spatial data, viewing & analysis tools dealing with the Cocos Keeling Islands. The data includes orthophotography, topography, culture and envrionment features of both of the islands and the areas immediately surrounding them.

The integrated spatial database of geological, geophysical, geochemical and cultural data. Provides users with means of integrating and analysing data for mineral exploration and research. The area covered by GIS encompasses Broken Hill and Euriowie Blocks and comprises six 1:100 000 mapsheets; the Corona, Fowlers Gap, Broken Hill, Taltingan, Redan and Thackaringa.

The Nauru GIS was created for both broad scale and detailed planning of rehabilitation and secondary mining. However, it also contains other datasets (e.g buildings, roads, storage tanks etc) which although are not error free may be of interest and prove useful for other purposes. The primary components for this product were to provide: ? geocorrected images (Orthophotography), ? Digital Elevation Models, ? data integration and system development ? training. This product was designed and compiled by the Australian Geological Survey Organisation on behalf of the Nauru Rehabilitation Corporation and the Nauru Phosphate Corporation, Republic of Nauru. The project commeced in November 1999, following a scoping report written in March 1999 and was completed by June 2000. This product is referred to as the Level 1 ArcExplorer GIS as described in the Scoping and Progress Reports and the final system documentation.

The railways that link urban and regional Australia have played a significant role in the development of our nation. Rail transport contributes many billions of dollars every year to Australia`s economy. Many of the products we use every day have travelled by rail at some stage in their journey. From home to work or across the country, passenger trains carry more than 500 million people each year - that`s around 25 times Australia`s population! With the opening of the Alice Springs to Darwin line in February 2004, all mainland capital cities and their ports are now connected by a 9420 kilometre network of standard gauge track, known as the Interstate Rail Network. The Railways of Australia thematic map reflects Australia`s impressive rail network. Whether it is used as a functional reference map or simply an outstanding wall-piece, Railways of Australia is a must for all rail enthusiasts and industries that rely on the nation`s rail network. Railways of Australia shows major passenger and freight lines, selected tourist railways, and metropolitan rail networks. Travelling times and distances, length of track, passenger loads, freight tonnage, and fabulous facts about Australia`s rail network are also included. This map was produced with the help of the Australasian Railway Association and Railpage. Product Specifications Coverage: Australia Scale: 1:5,000,000 (1 cm on the map measures 50km) Currency: November 2003 Coordinates: Geographical Datum: GDA94 Projection: Simple Conic on two standard parallels 18S and 36S Medium: Printed map - flat or folded Forward Program: Map will be updated as required

Generic information on DCW (Digital Chart of the World) data sets :- The primary source for DCW is the US Defense Mapping Agency (DMA) Operational Navigation Chart (ONC) series produced by the United States, Australia, Canada, and the United Kingdom. The ONCs have a scale of 1:1,000,000, where 1 inch equals approximately 16 miles.The charts were designed to meet the needs of pilots and air crews in medium and low altitude en route navigation and to support military operational planning, intelligence briefings, and other needs. Therefore, the selection of ground features is based on the requirement for rapid visual recognition of significant details seen from a low perspective angle. The DCW database was originally published in 1992. Data currency varies from place to place depending on the currency of the ONC charts. Chart currency ranges from the mid 1960s to the early 1990s. Compilation dates for every ONC chart are included in the database. For more information on the Digital Chart of the world please browse the DCW Internet Site http://www.maproom.psu.edu/dcw/ where you can download these data in VPF format. GA has converted these VPF format files to common GIS formats Arcview and Mapinfo available at www.ga.gov.au/geoscience/national on the download page. Available datasets include drainage, roads and railway networks, political areas and boundaries and population centres.

Australia has a three-tiered hierarchal model of government. A single Federal government, eight State/Territory governments and approximately seven hundred municipal councils make up the three tiers. Each of these tiers, and the separate jurisdictions within the tiers, can have their own standards and arrangements for managing information useful for Emergency Management (EM). Other information resources are held by private organisations. The business drivers for a co-ordinated national approach to `data collection, research and analysis?? was identified by the Council of Australian Governments (COAG) review and documented in their report `Natural Disasters in Australia ? Reforming mitigation, relief, and recovery arrangements? in 2001 (released in August 2002). Representatives of all tiers of governments were signatories to this report. Later in 2001 the events in New York on September 11 reinforced the business drivers for access to data that transcends jurisdictional boundaries, as did the 2003 bushfires in Canberra. Against this backdrop there are several projects that are addressing the infrastructure and data requirements at the state/territory level. The `LIST? in Tasmania. `VicMap? in Victoria, the `EICU? project in NSW, the `SIS? project in Queensland, the `SLIP? project in Western Australia and the ESA CAD system in the ACT are examples of spatial information Infrastructure initiatives that partially support EM at the jurisdictional level. At the national level the Australian & New Zealand Land Information Council (ANZLIC) proposed a national Distributed Spatial Data Library in 2003. Previous attempts to create centralised repositories have failed but maturing web services and the ability to produce hard-copy maps on-demand have moved this concept to a practical reality. Underpinning the distributed library is the development of a community `All Hazards? Data Taxonomy/Model for the EM community. The majority of the state jurisdictions provided input to the taxonomy, while additional expertises in the modelling and socio-economic domains were provided by Geoscience Australia (GA). The data identified by the taxonomy is sourced from varied and complex sources and formatted into a simplified, coherent form suitable for Emergency Management. The benefits of sharing data through a standardised framework are being progressively demonstrated to organisations through the ability to provide early warning of threats to their assets and services, while ensuring they maintain control of their data. There are still many hurdles to overcome before an infrastructure to support a Distributed Spatial Data Library can be realised. These hurdles can be broadly categorised as technological and cultural. The technological hurdles are no longer a significant barrier as bandwidth steadily increases, and major GIS systems support web service based data integration. It is arguably the cultural hurdles that are the most difficult. The process of consultation and review used in creating the `All Hazards? taxonomy has created a realisation among the jurisdictions of the benefits of closer ties and co-operation in data sharing and delivery arrangements. There is still some distance to travel but the implementation of an Australian Distributed Spatial Data Library for Emergency Management is moving closer to reality.

The South Australia Geoscientific Geographic Information System is a state wide integration of geological, geophysical, geochemical and cultural data. It provides the Geological Survey, Minerals & Energy Division, PIRSA, with its primary mechanism for distributing regional geoscientific information for exploration and research, via digital media. Datasets in this package are projected in Universal Transverse Mercator (UTM) Map Grid of Australia (MGA) coordinates relative to GDA94. The datasets are split into the three grid zones 52, 53 and 54, which span South Australia.