Ontology for the National Composite Gazetteer (Placenames) data set, API and code base. GitHub repository for ontology: https://github.com/GeoscienceAustralia/Place-Names (needs name to be changed to placenames ontology to suit pattern) PyLode page: https://raw.githack.com/GeoscienceAustralia/Place-Names/master/placenames.html

The source code for the National Composite Gazetteer Linked data API Code located at: https://github.com/GeoscienceAustralia/placenames-dataset for live API instance at: http://linked.data.gov.au/dataset/placenames

<div>A set of Australian Statistical Geography Standard (ASGS) datasets along with related data - built as Linked-Data RDF triples and provided with a modern API. The custodian of these datasets is the Australian Bureau of Statistics (ABS). Published by Geoscience Australia (GA). These feature collections are included in this database as of October 2022:</div><div> ● ASGS 2016</div><div> ● ASGS 2021</div><div> ● Australian Drainage Divisions</div><div> ● Commonwealth Electoral Divisions 2021</div><div> ● Destinations Zones</div><div> ● Greater Capital City Statistical Areas</div><div> ● Indigenous Locations</div><div> ● Indigenous Areas</div><div> ● Indigenous Regions</div><div> ● Local Government Areas 2021</div><div> ● Local Government Areas 2022</div><div> ● ASGS Mesh Blocks</div><div> ● Postal Areas</div><div> ● State Electoral Divisions 2021</div><div> ● State Electoral Divisions 2022</div><div> ● State and Territories </div><div> ● Statistical Areas Level 1</div><div> ● Statistical Areas Level 2</div><div> ● Statistical Areas Level 3</div><div> ● Statistical Areas Level 4</div><div> ● Suburbs and Localities</div><div> ● Tourism Regions</div><div>This data and the associated API sits alongside other Geoscience RDF databases and their APIs. The API supplies mapped detail of each individual feature along with metadata, geometry, alternate views and profiles. RDF provides a standardized schema for use with any other dataset based on RDF Triples. The API is human readable and machine readable. Machine readability allows web based APIs and dashboards to consume the data in a number of standardized formats - to value add and build specialized tools for a great variety of uses, including emergency use dashboards and higher level APIs.</div><div><br></div><div>The API conforms with the OGS LD API and is built on VocPrez and SpacePrez technology.</div>

A Linked Data API, using Python Flask which is an HTTP API framework, used to deliver representations of GA's aerial Surveys online as Linked Data. The API reads data from another HTTP API: the ARGUS XML API. The ARGUS XML API is generated by Oracle software and delivers XML representations of Survey objects stored in the ARGUS database. The online endpoints for the ARGUS XML API as accessed by this Surveys API are given in a config file within this API's code. Details about how to use this API are given within the main README file of this API's code repository (README.md).

A prototype Python, utility called ncskosdump, which wraps the ncdump netCDF reading tool and adds a series of options for the retrieval and display of Linked Data that the tool is able to extract from a netCDF file, including links to vocabulary terms. The tool is presented in a code repository using the Git distributed version control system.

<div>Spatially Linked-data, built using the Discrete Global Grid System (DGGS) as a tool. These functions provide statistical cross-referencing between features of dissimilar geographic layers, to expresses statistical relationships between them. Can be applied to point, line, polygon and raster datasets (including Digital Earth Australia - DEA data). </div><div><br></div><div>This API is located at https://api.dggs.ga.gov.au/docs and contains several functions the user can access. The data drill function is the most commonly used for determining the features at a specific location.</div><div><br></div><div>Where appropriate, these tools calculate the apportionment figure which calculates the percentage that one feature is spatially within a comparison features from another geography. ABS, GA and other agencies use this sort of information to apportion data from one geography to another (e.g. to attribute Local Government Areas (LGA) polygons with data collected on ABS SA2 polygons).</div><div><br></div><div>There are many other use-cases. For example, tell me how many residential addresses are with in a wildfire burn area. Which LGA is the fire is within, which State Electorate, which suburbs, and which postcodes.</div><div><br></div><div>All this information is available from AusPIX web user interfaces, without the need to open a GIS package. </div><div><br></div><div>This AusPIX DGGS solution is built into a fast-API web interface (known also as a swagger interface) and resides inside Geoscience Australia (GA) infrastructure (on AWS). The fast-API is a modern method to share information through a user web-interface, providing secure access in both human and machine readable forms. This is F.A.I.R technology.</div><div><br></div><div>Humans can web-click through the API to find and copy the information they need. Machines can also query the API to consume the information for any higher level dashboards and other APIs. </div><div><br></div><div>This API is available at https://api.dggs.ga.gov.au/docs and has received an average of 100 hits (invocations or uses) per month over the last 6 months, which is quite good considering it is still waiting to be advertised in eCat. The most used function at the moment is the dataDrill function. Users input a Latitude/Longitude location and receive back a useful set of information about that location. Other functions are available and several potential ones identified.</div><div><br></div><div>Hyperlinks in the data also provide the landing pages to provide mapped features, geometry, and metadata from the GA/ABS semantically linked datasets and their APIs.</div><div><br></div><div>A feature of how the system is built is the ability to cross-reference any combination required, without the need to wait for re-calculation. The AusPIX system has this flexibility because its base-geography is equal area DGGS cells provisioned as a intelligent raster. This raster is provided as a rather simple SQL table for any APIs to query. All this technology is hidden from the end-user.</div><div><br></div><div>Because the DGGS cells and their attributed values are pre-calculated, the system works at high speed.</div><div><br></div><div>AusPIX provides a unique service beyond map data. Rather AusPIX focuses on the individual features and their relationships to features in other datasets. The benefit is that much of the difficult map interpretation or analysis is provided in completed form for the user. Rather than providing just data, AusPIX automates the provision of the next level up - information and statistics.</div><div><br></div>