This dataset is derived from layers stored in Landgate’s medium scale Topographic Geodatabase (TGDB). They provide a broad view of the states population centres and roads and rivers networks. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.

This is a series of datasets covering the State of Queensland displaying transport features. Features are attributed with source information and names where available. Datasets include: Airport Areas, Airport Aprons, Airport Runways, Airport Taxiways, Air Traffice Control towers, Bridges, Helipads, Landing Grounds, Motorway Toll Points, Railways, Railway Stations and Siding, Road and Rail Tunnels.

Spatial dataset in shapefile format for known clearways, bus lanes and transit lanes within Sydney Region. The dataset may not be complete. Note: Data is current as of 2018. TfNSW are currently in the process of validating and updating the data. New data will be available once this process has been completed.

The Tasmanian land use 2015 spatial data set is produced at catchment scale which is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the 'Guidelines for land use mapping in Australia: principals, procedures and definitions, 4th edition 2011' and âAddendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Editionâ. Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management Classification (ALUMC) v8, which allows attribution as broad classes to individual commodities. This produces nationally consistent land use mapping to plan for and achieve productive agriculture and prosperous regional communities. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The data set has been derived through spatial analysis of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge through stakeholder engagements. The development of a modelling process to create the data set allows a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping is for improved biosecurity outcomes to improve biosecurity risk management and emergency disease preparedness through updated land use mapping of horticulture and intensive animal production. Land use mapping is completed to the secondary and tertiary level with commodity information for priority land use classes focusing on dairy grazing, sheds and yards, vineyards, stock aggregation points and nurseries. Australian Land Use and Management Classification (ALUMC) v8 comprises of five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to a number of concurrent land uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use. The primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use)

A collection of high-resolution climate grid surfaces for land areas in Tasmania based on Climate Futures For Tasmania projection modelling. There are 152 climate products available that delineate temperature and rainfall parameters specific to crop growing requirements that form part of the enterprise suitability mapping program (refer here: https://dpipwe.tas.gov.au/agriculture/investing-in-irrigation/enterprise-suitability-toolkit/enterprise-suitability-maps). Broadly speaking these products include climate risk parameters including frost risk, heat risk and extreme rainfall risk as well as crop related indices including growing degree days and chill hours. Furthermore, mean monthly climate variables including mean monthly maximum/minimum air temperature and rainfall products are also produced. Refer here for dataset inventory: https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Inventory_DCM_Tas.pdf Climate Futures Tasmania (CFT) projections were incorporated into the modelling framework to simulate projected climate (according to the RCP 8.5 scenario) for years 2030 and 2050. These projections were downscaled, and bias corrected to a spatial grid resolution of 30m. Also, note that these outputs relate to the baseline climate maps defined here: https://www.thelist.tas.gov.au/app/content/data/geo-meta-data-record?detailRecordUID=ba62f124-5906-4471-a01c-9b57b6142055 All products can be accessed via Web Map Service: https://spatial.dpipwe.tas.gov.au/naturalassets/Climate/wms Or viewed in the following Web Map application: https://arcg.is/vaHDG

The Tasmanian Land Use 2021 spatial data set is produced at catchment scale and is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the "Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition 2011" and "Addendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Edition". Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management (ALUM) Classification version 8, allowing land uses to be attributed as broad classes to individual commodities where possible. This produces nationally consistent land use mapping to inform, support and enable innovation and action in response to economic, social and environmental challenges. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The 2021 data set has been derived through a modelling spatial analysis process of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge and data from stakeholders. The modelling process, previously used for the Tasmanian Land Use 2019, was updated for the 2021 dataset and continues to allow a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping has been predominately updated in areas of nature conservation, managed resource protection, perennial horticulture, irrigation and plantation forests. Land use mapping is completed to the ALUM secondary and tertiary level with commodity information where available. The Australian Land Use and Management (ALUM) Classification has a three-tiered hierarchical structure. Primary, secondary and tertiary classes are broadly structured by the potential degree of modification and the impact on a putative "natural state" (essentially, a native land cover). Primary and secondary classes relate to land use - the main use of the land, defined by the management objectives of the land manager. Tertiary classes can include commodity groups, specific commodities, land management practices or vegetation information. Tertiary-level data are particularly valuable in many natural resource planning and management applications but are often expensive to collect. The ALUM Classification includes six primary classes. The five primary classes of land use are distinguished in order of increasing levels of intervention or potential impact on the natural landscape. Water is also included as a sixth primary class. The primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use)

This polygon dataset shows the locations of Landscape Areas in the Australian Capital Territory. These assets are either owned or managed by City Services, Transport Canberra and City Services Directorate (TCCS) and Parks and Conservation Service, Environment, Planning and Sustainable Development Directorate (EPSDD). Assets managed and / or owned privately, by other ACT Government Directorates or by the Federal Government may not be included.Attributes include location description, suburb, asset sub type (Beach, Clay Mound, Granite Gravel Bed, Hard Surface, Shale Bed, Softfall, Soil Cells, Synthetic Grass) and material (e.g. crushed gravel, rubber).These assets are captured and maintained in the asset database through the works as executed (WAE) handover process or field audits.For additional information, please see the relevant municipal infrastructure standard (https://www.cityservices.act.gov.au/plan-and-build/standards-codes-and-guidelines/municipal-infrastructure-design-standards-mis).

Access APIMetadata Portal Metadata InformationContent TitleSydney Road Segment 3D May 2024Content TypeScene Layer/Scene Layer PackageDescriptionNSW Transport Theme Road Segment is a line feature class representing a section of road having common attributes and terminating at its physical and or at an intersection with another road at the same grade (same level). Its position is determined by the methodology used to input into the Topographic Database. Common methods of input include GPS, traced from the cadastre or traced from an orthorectified image.Data included in Road Segments includes:Vehicular TrackPathwayContinuity LineStandard Road On-off RampDual CarriagewayInitial Publication Date01/05/2024Data Currency01/05/2024Data Update FrequencyOtherContent SourceData provider filesFile TypeScene Layer Package (*.slpk)AttributionData Theme, Classification or Relationship to other DatasetsTransport Theme of the NSW Foundation Spatial Data FrameworkAccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. The Lot and Property data was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at the map scale for 90% of the well-defined points. That is 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:00000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Feature heights have been derived from LiDAR elevation sources including 1m and 2m DEMS. The data used to create the DEMs have an accuracy of 0.3m (95% Confidence Interval) vertical and 0.8m (95% Confidence Interval) horizontal. The features vertical accuracy is also a function of its horizon.Spatial Reference System (dataset)WGS84Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA2020Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianSpatial Services | Department of Customer ServicesPoint of ContactSS-SDS@customerservice.nsw.gov.auData AggregatorSpatial Services | Department of Customer ServicesData DistributorSpatial Services | Department of Customer ServicesAdditional Supporting InformationOpen Geospatial Consortium (OGC) implemented and compatible for the consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement.TRIM Number

This dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 02 December 2021. Its purpose is to display Transport Infrastructure as an area (polygon) within Australia. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. Please note: The original data for this dataset has been downloaded from Geofabrik on 02 December 2021. Due to changes in tagging, previous versions of OSM may not be comparable with this release.

The Tasmanian Government publishes GTFS data relating to the Tasmanian public transport network. Please note that this data is refreshed periodically, and we cannot guarantee the accuracy or completeness of the available data.