The NSW Base Map Web Service depicts a map of New South Wales (NSW) using layers from the Digital Topographic Database, the Geocoded Urban and Rural Addressing System database and the Digital …Show full descriptionThe NSW Base Map Web Service depicts a map of New South Wales (NSW) using layers from the Digital Topographic Database, the Geocoded Urban and Rural Addressing System database and the Digital Cadastral Database. This base map includes: Roads, Points of Interest, Localities, Landform, Drainage, Cultural data, Parks and forests, Property boundaries and Street address numbers. NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.

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Access APIGeocoded Addressing Theme Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 …Show full description Access APIGeocoded Addressing Theme Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS functionally.The Geocoded Urban and Rural Addressing System (GURAS) is a ‘property’ based address database. Each property polygon captured within GURAS has a unique numeric identifier and contains at least one authoritative address which is sourced from local councils via the valuation of land database, also managed by LPI-Valnet. Properties may contain more than one address sourced from various other organisations. The GURAS database is commonly used by all levels of government for emergency services, computer aided dispatch systems, postal and delivery services, and to identify location. Address points are generally system generated points and do not always have a direct correlation to the dwelling location. In circumstances where there are multiple disparate lots for one property, particularly in rural addresses, the system generated address points may not reside within the correct property polygon. Owners names are not part of the GURAS database, nor does GURAS contain any personal information. The Geocoded Addressing Theme is a single source of truth for address information in NSW, GURAS eliminates the costly duplication of effort where all local councils, Australia Post, emergency service organisations and other agencies and businesses maintained individual address databases with different creation and distribution regimes.Geocoded Addressing Data Theme includes the following feature classes:Waypoint - A WayPoint is a point located on the RoadSegment feature class for an address where the road naming attributes from both the AddressString and the RoadSegment classes are identical. Indicates the approximate entry point of for an address.Address Point - A point feature class used to spatially locate an address / address stringThe Address Point Layer includes the below subtypes:· Building· Homestead· Monument· Property· Unit/Strata· OtherPro Way - A Proway is a line that spatially connects the AddressPoint and WayPoint.The Pro Way Layer includes the following subtypes:· Right· Left· OtherMetadata Type Esri Map ServiceUpdate Frequency As required Contact Details Contact us via the Spatial Services Customer Hub Relationship to Themes and Datasets NSW Geocoded Addressing Theme of the Foundation Spatial Data Framework (FSDF) Accuracy The dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset 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 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 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System    (web service) EPSG 4326: WGS 84 Geographic 2D WGS 84 Equivalent ToGDA94 Spatial Extent Full State Standards and Specifications Open Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Information about the “Feature Class” and “Domain Name” descriptions for the NSW Administrative Boundaries Theme can be found in the GURAS Delivery Model Data DictionarySome of Spatial Services Datasets are designed to work together for example “NSW Address Point” and “NSW Address String Table”, NSW Property (Polygon) and NSW Property Lot Table and NSW Lot (polygons). To do this you need to add a “Spatial Join”. A Spatial join is a GIS operation that affixes data from one feature layer’s attribute table to another from a spatial perspective. To see how Address, Property and Lot Geometry data and Tables can be joined together download the Data Model Document. This will show what attributes in the datasets can be linked.Distributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795

There have been a number of requests for "State Roads" data. This data is currently available via the Data.NSW Spatial Collaboration Portal.

To access Road Segment Data please follow the instructions below;

1. From https://portal.spatial.nsw.gov.au/
2. Click the Browse Data tile
3. Click NSW Data themes tile
4. Click the Transport icon
5. Click the link NSW Transport Theme - Road Name Extent

https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/Image%201.png?itok=Zj8I2HTQ&c=57759871b0db5f3b792ed8c6dc3c4669" alt="homepage">

1. Click on Export Data (highlighted above)

https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/Image%202.png?itok=uy1Gkd3E&c=2f9dc44fee9f3e79d7b5348119a8827f" alt="Export Page">

1. Do you want to select which layers to export? You can select Yes and choose from the layers provided OR you can select No Thanks. I want to export data from all layers. This will download all data sets. In the example below RoadNameExtent is selected.

https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/Image%203.png?itok=DMQQSR4S" alt="Layers to Export Page">

1. Click Next >

2. Do you want to specify an extent? Select No or Yes, by drawing the extent on a map. If you select ‘No’ all the data will be extracted. If you wanted to specify an extent of data extraction, e.g. around Sydney in the screenshot below, use the square icon labelled ‘Draw a rectangle’. This will draw a square centred on the point where you clicked on the map. You can change the shape from the icon labelled ‘Reshape’ to get the required area of extraction.

https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/Image%204.png?itok=T28ur_3b" alt="Map Selection View">

1. Click on Next >

2. Select your preferred Export format. Please note the limitation of ESRI Shape files truncating attribute names to 10 characters.

3. Select your preferred Export datum: Please note the current preference of GDA2020, although that depends on your objective.

4. Select your preferred Export coordinate system: ‘Geographic’ will export the geometries in latitude/longitude. MGAxx coordinate systems will export the geometries in metres.

5. Type your email address

https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/Image%205.png?itok=KQ2XbSQL" alt="Attribute Selection">

1. Click Export

2. You should see the screen below

https://opendata.transport.nsw.gov.au/sites/default/files/styles/panopoly_image_original/public/Image%206.PNG?itok=4isSITci" alt="Confirmation Screen">

1. Check your inbox for an email from Customer Service with a link to download the data.

Metadata Content Title NSW Basemap TopographicContent Type Web MapDescription The NSW Basemap Topographic theme provides a seamless state-wide map of roads, features of interest, localities, hydrology, land cover, property boundaries, cultural data, contours and more.Initial Publication Date 03/08/2022Data Currency 15/05/2024Data Update Frequency Other Content Source OtherFile Type Map Feature Service Attribution Data Theme, Classification or Relationship to other Datasets Accuracy This dataset 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 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 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway.Spatial Reference System (dataset) GDA94 Spatial Reference System (web service) EPSG:4326 WGS84 Equivalent To GDA94 Spatial Extent Content Lineage Data Classification UnclassifiedData Access Policy OpenData Quality Terms and Conditions Creative CommonsStandard and Specification Data Custodian Spatial Services | NSW Department of Customer ServicePoint of Contact DCS Spatial Services Customer HubData Aggregator DCS Spatial ServicesData Distributor DCS Spatial ServicesAdditional Supporting Information NSW Basemaps are vector tile, web accessible maps that enable faster loading times for users and high-resolution display at all zoom levels. Vector tile layers can adapt to the resolution of a particular display device and can be restyled for multiple uses. The NSW Basemap Topographic theme provides a seamless state-wide map of roads, features of interest, localities, landform, hydrology, land cover, property boundaries, cultural data, contours and more. It is designed so that it can be used as a standalone reference or combined with other layers of information without reducing the content of the topographic layer. Web service uses/ fitness for purpose:This web map service allows users to easily integrate the NSW Basemap into spatial platforms and applications and provides a combined view of NSW Foundation Spatial Data. It is Open Geospatial Consortium (OGC) compliant and suitable for consumption by common GIS platforms. The web map is regularly updated and will show new information captured or sourced by DCS Spatial Services. All datasets used in this service are authoritative foundational spatial data.Basemap legendTRIM Number

NSW Cadastre web service is a dynamic map of cadastral features extracted from the NSW Digital Cadastral Database (DCDB). It provides access to a state wide integrated database and a component of the foundation spatial datasets within the New South Wales.

A “cadastre” is an official register of property showing boundaries. The DCDB contains current land titles only.

The cadastral feature class layers provided through this web service includes:

• Large Rural Plan Extent

• Rural Plan Extent

• Section Extent

• Plan Extent

• Lot

• Plan Extent Labels

• Section Extent Labels

• Lot Labels

The available attributes for point queries are:

• Lot/Section/Plan string

• CadID

This web service allows users to easily integrate NSW Cadastre into Open Geospatial Consortium (OGC) compliant spatial platforms and applications. The NSW Cadastral web service can be used for resource management, environmental management, land use planning, agriculture management, emergency management and recreational purposes This service can be used to aggregate information for analytical purposes.

Cadastral boundary data in combination with geo-coded address data, imagery, demographic information and agency specific business information underpins the ability to perform high quality spatial analysis.

The NSW Base Map Web Service depicts a map of New South Wales (NSW) using layers from the Digital Topographic Database, the Geocoded Urban and Rural Addressing System database and the Digital Cadastral Database.

This base map includes: Roads, Points of Interest, Localities, Landform, Drainage, Cultural data, Parks and forests, Property boundaries and Street address numbers.

This web service allows users to easily integrate a NSW base map into Open Geospatial Consortium (OGC) compliant spatial platforms and applications.This web service provides an ideal base map depicting a combined view of NSW Foundation Spatial Information for use within spatial applications and systems.

Abstract Australia's Land Borders is a product within the Foundation Spatial Data Framework (FSDF) suite of datasets. It is endorsed by the ANZLIC – the Spatial Information Council and the Intergovernmental Committee on Surveying and Mapping (ICSM) as the nationally consistent representation of the land borders as published by the Australian states and territories. It is topologically correct in relation to published jurisdictional land borders and the Geocoded National Address File (G-NAF). The purpose of this product is to provide:

a building block which enables development of other national datasets; integration with other geospatial frameworks in support of data analysis; and visualisation of these borders as cartographic depiction on a map.

Although this service depicts land borders, it is not nor does it purport to be a legal definition of these borders. Therefore it cannot and must not be used for those use-cases pertaining to legal context. Termination Points are the point at which the state border polylines meet the coastline. For the purpose of this product, the coastline is defined as the Mean High Water Mark (MHWM). In the absence of a new MHWM for NSW, the Jervis Bay termination points are defined by the NSW cadastre. This feature layer is a sub-layer of the Land Borders service. Currency Date modified: 10 November 2021 Modification frequency: None Data extent Spatial extent North: -14.88° South: -38.06° East: 153.55° West: 129.00° Source information Catalog entry: Australia's Land Borders The Land Borders dataset is created using a range of source data including:

Australian Capital Territory data was sourced from the ACT Government GeoHub – ‘ACT Boundary’. No changes have been made to the polylines or vertices of the source data. In the absence of any custodian published border for Jervis Bay – New South Wales, a border has been constructed from the boundary of the NSW cadastre supplied by NSW Spatial Services. Geoscience Australia’s GEODATA TOPO 250K data was considered as an alternative, however, that border terminated short of the coastline as it stops at the shoreline of the major water bodies. Therefore, a decision was made to use the NSW and OT supplied cadastre to create a new representation of the Jervis Bay border that continued to the coastline (MHWM), in place of the TOPO 250K data. In the absence of publicly available data from New South Wales, the land borders for New South Wales have been constructed using the data of adjoining states Queensland, South Australia, Victoria and the Australian Capital Territory. This approach is agreeable to New South Wales Government for this interim product. In the absence of publicly available data from the Northern Territory the land borders for the Northern Territory have been constructed using the data of adjoining states Western Australia, Queensland and South Australia. This approach is agreeable to Northern Territory Government for this interim product. Queensland state border and coastline data have been download from the Queensland Spatial, Catalogue – QSpatial. Publicly available data for the state borders of South Australia was downloaded from data.gov.au and is ‘SA State Boundary - PSMA Administrative Boundaries’. Downloaded as a file geodatabase in GDA2020. Victorian state border data has been downloaded from the Victorian state Government Spatial Datamart, it is titled ‘FR_FRAMEWORK_AREA_LINE’. The Victorian state border data was used for the NSW/VIC section of border due to the absence of any publicly available data from New South Wales for this section of the border. Western Australian state border data was downloaded from the WA Government as publicly available. The Western Australia state border data has been used for the WA/NT section of the border due to the absence of publicly available data from Northern Territory for this section of the border. Selecting the SA data for the WA/SA border would introduce mismatches with the WA cadastre. It would also not improve the SA relationship with the SA cadastre. Using the WA data for the WA/SA section of the border aligns each state with its own cadastre without causing overlaps.

Sources specific to the Termination Points are as follows:

Jurisdictions Coastline data source

NT/QLD Publicly available Queensland Coastline and State Border data

QLD/NSW Publicly available Queensland Coastline and State Border data

NSW/VIC VIC Framework (1:25K) line

VIC/SA Coastline Capture Program (of SA by Tasmania)

SA/WA Coastline Capture Program (of SA by Tasmania)

WA/NT Coastline Capture Program (of NT by Tasmania)

JBT (OT) NSW Cadastre

Lineage statement At the southwest end of the NT/SA/WA border the South Australian data for the border was edited by moving the end vertex ~1.7m to correctly create the intersection of the 3 states (SA/WA/NT). At the southeast end of the NT/QLD/SA border the South Australian data for the border was edited by moving the end vertex ~0.4m to correctly create the intersection of the 3 states (NT/SA/QLD). Queensland data was used for the NT/QLD border and the QLD/NSW border due to the absence of publicly available data from the Northern Territory for these section of the border. Data published by Queensland also included a border sections running westwards along the southern Northern Territory border and southwards along the western New South Wales border. These two sections were excluded from the product as they are not within the state of Queensland. Queensland data was also used in the entirety for the SA/QLD segment of the land borders. Although the maximum overlap between SA and QLD state border data was less than ~5m (and varied along the border), the Queensland data closely matched its own cadastre and that of South Australia. The South Australian data overlapped the Queensland data, it also did not match the South Australian cadastre. Therefore, a decision to use the Queensland data for the QLD/SA section of the border ensured the best possible topological consistency with the published cadastre of each state. The South Australian/Victorian state border, north-south, were generally very similar with some minor deviations from each other from less than 1m to ~60m (there is one instance of deviation of 170m). The section of border that follows the Murray River is matched, for the most part by both states. Over three quarters of the border running along the river is matched with both states. There is a mismatch between the states in the last quarter of the border along the river, the northern section, however, both states still have the border running inside, or along, the river polygon (Surface hydrology), the Victorian data was chosen for this section purely for consistency as the Victorian data was used for the preceding arcs. Overall, the Victorian data was selected for use as the South Australia/Victoria land border. After taking the existing cadastre and GNAF points into account and it did not introduce extra errors into the relationship between the land borders and the cadastre of either state. In parts, it improved the relationship between the South Australian cadastre and the SA/VIC state border. This interim product will be updated when all states and territories have published agreed, authoritative representations of their land borders. This product will also be updated to include land mass polygons at time when the Coastline Capture Program is complete. This dataset is GDA 2020 compliant - transformed into GDA2020 from it's original source datum. Reference System Code 2020.00. Data dictionary All Layers

Attribute name Description

CREATE_DATE Date on which the positional data point was created in the data set

Field All features in this data set are labelled "TERMINATION_POINT"

SOURCE Project from which the data point information is derived

STATEMENT Legal disclaimer for the positional data

STATES Termination points divide at least two states and/or territories

Contact Geoscience Australia, clientservices@ga.gov.au

The NSW Points of Interest (POI) web service allows users to search for and identify the location of features that people may want to see on a map, know about or visit. POI features are derived from features maintained within multiple themes of the NSW Foundation Data Framework (FSDF).

The features included in the NSW POI web service are: community, education, medical, recreation, transportation, utility, hydrography, physiography and place.

Community features include ambulance stations, art galleries, cemeteries, convents/monasteries, co-operatives, court houses, crematoriums, embassies, fire stations, gaols, graves, homesteads, libraries, lighthouses, local government chambers, museums, observatories, places of worship, police stations, post offices, nursing homes, retirement villages, rural fire stations, SES facilities, shopping centres, and tourist information centres.

Education features include combined primary-high schools, high schools, preschools, primary schools, research stations, special schools, TAFE colleges, and universities.

Medical features include general hospitals, psychiatric hospitals, children’s hospitals, integrated health services, multi purpose services and community medical centres.

Recreation features include athletics tracks, BMX tracks, camping grounds, caravan parks, clubs, cycling tracks, dog tracks, golf courses, historic sites, lookouts, monuments, motor racing tracks, observation towers, outdoor theatres, parks, picnic areas, racecourses, ship wrecks, showgrounds, sports centres, sports courts, sports fields, swimming pools, target ranges, tourist attractions, training tracks, trotting tracks and zoos .

Transportation features include airports, boat ramps, named cable cars, marinas, railway stations, slipways and transport interchanges.

Utility features include filtration plants, fuel driven power stations, gas facilities, geothermal power stations, hydro power stations, rubbish depots, sewage works, solar power stations, transmission stations and wind power stations.

Physiography and Hydrography include physiography: caves, cliffs, gaps / passes / saddles, headlands, mountains hills / peaks, peninsulas / spits, or plateaus / tablelands. Hydrography: named bays / inlets / basins, beaches, bores, breakwaters, dam walls, islands, locks, manmade water bodies, natural water bodies, reaches / river bends, reefs, rock awash, sandbars / shoals, springs, swamps and water falls.

Place Features include cities, towns, suburbs, localities, regions and villages.

This web service allows users to easily integrate NSW POI into Open Geospatial Consortium (OGC) compliant spatial platforms and applications. When used in conjunction with maps and atlases, it can be a very powerful tool. The POI feature types are maintained by Spatial Services.

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© Department of Finance, Services & Innovation 2018

Metadata Content Title NSW Basemap NavigationContent Type Web MapDescription The NSW Basemap Navigation theme provides detailed road and street data symbolised with a minimal style over the NSW imagery layer.Initial Publication Date 14/07/2022Data Currency 15/05/2024Data Update Frequency Other Content Source OtherFile Type Map Feature Service Attribution Data Theme, Classification or Relationship to other Datasets Accuracy This dataset 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 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 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway.Spatial Reference System (dataset) GDA94 Spatial Reference System (web service) EPSG:4326 WGS84 Equivalent To GDA94 Spatial Extent Content Lineage Data Classification UnclassifiedData Access Policy OpenData Quality Terms and Conditions Creative CommonsStandard and Specification Data Custodian Spatial Services | NSW Department of Customer ServicePoint of Contact DCS Spatial Services Customer HubData Aggregator DCS Spatial ServicesData Distributor DCS Spatial ServicesAdditional Supporting Information NSW Basemaps are vector tile, web accessible maps that enable faster loading times for users and high-resolution display at all zoom levels. Vector tile layers can adapt to the resolution of a particular display device and can be restyled for multiple uses. The NSW Basemap Navigation theme provides detailed road and street data symbolised with a custom minimal style over the NSW imagery layer. Web service uses/ fitness for purpose:This web map service allows users to easily integrate the NSW Basemap into spatial platforms and applications and provides a combined view of NSW Foundation Spatial Data. It is Open Geospatial Consortium (OGC) compliant and suitable for consumption by common GIS platforms. The web map is regularly updated and will show new information captured or sourced by DCS Spatial Services. All datasets used in this service are authoritative foundational spatial data.Basemap legendTRIM Number

Access APINSW Features of Interest Category - Place Point Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 …Show full description Access APINSW Features of Interest Category - Place Point Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS84 = GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that these original services will adopt the new multiCRS functionally. Place point is a point feature class within the Features of interest Category. There is no overall accuracy reported in the database, however accuracy of the individual feature instances of each feature class can be found in the database tables. The currency of the feature instances in this dataset can be found in “feature reliability date” or “attribute reliability date” attributes. All feature instances in this class are attributed with a planimetric accuracy value. It is expected that the 90% of well-defined points with the same planimetric accuracy are within 0.5mm of that map scale. Depending on the capture source, capture method, digital update and control point upgrade, every feature instance reported has a positional accuracy within the range of 1m - 100m. Place Points included in the layer include: City - A centre of population, commerce and culture with all essential services; a town of significant size and importance, generally accorded the legal right to call itself a city under, either, the Local Government Act, the Crown Lands Act or other instruments. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. City data points are positioned within the cadastral parcel in which they are located. Locality - A bounded area within the landscape that has a rural character. Locality data points are positioned within the cadastral parcel in which they are located. Region - A region is a relatively large tract of land distinguished by certain common characteristics, natural or cultural. Natural unifying features could include same drainage basin, similar landforms, or climatic conditions, a special flora or fauna, or the like. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Region data points are positioned within the cadastral parcel in which they are located.Rural Place - A place, site or precinct in a rural landscape, generally of small extent, the name of which is in current use. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Rural place data points are positioned within the cadastral parcel in which they are located. Suburb - A gazetted boundary of a suburb or locality area as defined by the Geographical Names Board of NSW. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Suburb data points are positioned within the cadastral parcel in which they are located. Town - A commercial nucleus offering a wide range of services and a large number of shops, often several of the same type. Depending on size, the residential area can be relatively compact or (in addition) dispersed in clusters on the periphery. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Town data points are positioned within the cadastral parcel in which they are located. Urban Place - A place, site or precinct in an urban landscape, the name of which is in current use, but the limits of which have not been defined under the address locality program. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Urban place data points are positioned within the cadastral parcel in which they are located. Village - A cohesive populated place in a rural landscape, which may provide a limited range of services to the local area. Residential subdivisions are in urban lot sizes. This point feature dataset is part of Spatial Services Defined Administrative Data Sets. Village data points are positioned within the cadastral parcel in which they are located. MetadataType Esri Feature Service Update Frequency As required Contact Details Contact us via the Spatial Services Customer Hub Relationship to Themes and Datasets Features of Interest Category of the Foundation Spatial Data Framework (FSDF) Accuracy The dataset maintains a positional relationship to, and alignment with, a range of themes from the NSW FSDF including, transport, imagery, positioning, water and land cover. This dataset 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 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 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System    (web service) EPSG 4326: WGS84 Geographic 2D WGS84 Equivalent To GDA94 Spatial Extent Full state Standards and Specifications Open Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Distributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795

Access APINSW Administrative Boundaries Theme Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 …Show full description Access APINSW Administrative Boundaries Theme Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS functionally.The Administrative Boundaries theme from NSW Foundation Spatial Data Framework (FSDF) is a collection of legislative, regulatory, political, maritime and general administrative boundaries sourced from local and state boundary datasets. They include: Parish County Suburb Local Government Area State Electoral District Federal Electoral Division Mines Subsidence District NSW Parks and Wildlife Service Reserve State Forest State Border Domestic Water Front PrecinctThe Administrative Boundaries theme is used to show administrative areas that represent:Voting Districts Redistributions Zoning Socio-Economic analysis Regional Planning Service Distribution Local and State Government Boundaries In addition, Administrative Boundaries can also be used for analysis and to look at trends over time. Administrative boundary data in combination with geo-coded address data, demographic information and agency specific business information underpins the ability to perform high quality spatial analysis. The use of this data in combination with other data includes: Evidence-based development and assessment of government policy Providing the ability to undertake spatial accounting Regional analysis for government, health, education, business and a range of other purposes Support for emergency management Market catchment analysis, micromarketing, customer analysis and market segmentation Emergency management. Update frequencies vary for each dataset. Individual current status can be found under each spatial data profile. Metadata Type Esri Feature Service Update Frequency As required Contact Details Contact us via the Spatial Services Customer Hub Relationship to Themes and Datasets Administrative Theme of the Foundation Spatial Data Framework (FSDF) Accuracy The dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset 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 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 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System    (web service) EPSG 4326: WGS84 Geographic 2D WGS84 Equivalent To GDA94 Spatial Extent Full state Standards and Specifications Open Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Information about the Feature Class and Domain Name descriptions for the NSW Administrative Boundaries Theme can be found in the NSW Cadastral Delivery Model Data Dictionary Some of Spatial Services Datasets are designed to work together for example NSW Address Point and NSW Address String (table), NSW Property (Polygon) and NSW Property Lot (table) and NSW Lot (polygons). To do this you need to add a Spatial Join.A Spatial Join is a GIS operation that affixes data from one feature layer’s attribute table to another from a spatial perspective. To see how NSW Address, Property, Lot Geometry data and tables can be spatially joined, download the Data Model Document. Distributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795

NSW Cadastre web service is a dynamic map of cadastral features extracted from the NSW Digital Cadastral Database (DCDB). It provides access to a state wide integrated database and a component of the foundation spatial datasets within the New South Wales. A “cadastre” is an official register of property showing boundaries. The DCDB contains current land titles only. The cadastral feature class layers provided through this web service includes:

• Large Rural Plan Extent
• Rural Plan Extent
• Section Extent
• Plan Extent
• Lot
• Plan Extent Labels
• Section Extent Labels
• Lot Labels

The available attributes for point queries are:

• Lot/Section/Plan string
• CadID

NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.

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Metadata Portal Metadata Information

Metadata Content Title NSW Basemap TerrainContent Type Web MapDescription The NSW Basemap Terrain theme features roads and streets, hydrology and displays shaded relief to emphasise landform using contours and elevation features.Initial Publication Date 14/07/2022Data Currency 15/05/2024Data Update Frequency Other Content Source OtherFile Type Map Feature Service Attribution Data Theme, Classification or Relationship to other Datasets Accuracy This dataset 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 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 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway.Spatial Reference System (dataset) GDA94 Spatial Reference System (web service) EPSG:4326 WGS84 Equivalent To GDA94 Spatial Extent Content Lineage Data Classification UnclassifiedData Access Policy OpenData Quality Terms and Conditions Creative CommonsStandard and Specification Data Custodian Spatial Services | NSW Department of Customer ServicePoint of Contact DCS Spatial Services Customer HubData Aggregator DCS Spatial ServicesData Distributor DCS Spatial ServicesAdditional Supporting Information NSW Basemaps are vector tile, web accessible maps that enable faster loading times for users and high-resolution display at all zoom levels. Vector tile layers can adapt to the resolution of a particular display device and can be restyled for multiple uses. The NSW Basemap Terrain theme features roads and streets, hydrology and displays shaded relief to emphasise landform using contours and elevation features. Elevation points are labelled at zoomed scale 2 km or less. The terrain theme provides the ideal basemap to environmental data, such as protected areas or ecosystems. Web service uses/ fitness for purpose:This web map service allows users to easily integrate the NSW Basemap into spatial platforms and applications and provides a combined view of NSW Foundation Spatial Data. It is Open Geospatial Consortium (OGC) compliant and suitable for consumption by common GIS platforms. The web map is regularly updated and will show new information captured or sourced by DCS Spatial Services. All datasets used in this service are authoritative foundational spatial data.Basemap legendTRIM Number

NSW Basemap Topographic

The NSW Basemap Topographic theme provides a seamless state-wide map of roads, features of interest, localities, landform, hydrology, land cover, property boundaries, cultural data, contours and more. It is designed so that it can be used as a standalone reference or combined with other layers of information without reducing the content of the topographic layer.

The web map is regularly updated and will show new information captured or sourced by DCS Spatial Services. All datasets used in this service are authoritative foundational spatial data. Access the NSW Foundation Spatial Data Framework for details and specifications.

NSW Basemaps are vector tile, web accessible maps that enable faster loading times for users and high-resolution display at all zoom levels. Vector tile layers can adapt to the resolution of a particular display device and can be restyled for multiple uses.

This web map service allows users to easily integrate the NSW Basemap into spatial platforms and applications and provides a combined view of NSW Foundation Spatial Data.

Basemap legend

Metadata

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This shapefile was constructed by combining crown TSR spatial data, information gathered from Rural Lands Protection Board (RLPB) rangers, and surveyed Conservation and Biodiversity data to compile a layer within 30 RLPB districts in NSW. The layer attempts to spatially reflect current TSRs as accurately as possible with conservation attributes for each one.

Dataset History

The initial process in production involved using the most up to date extract of TSR from the crown spatial layer as a base map, as this layer should reasonably accurately spatially reflect the location, size, and attributes of TSR in NSW. This crown spatial layer from which the TSR were extracted is maintained by the NSW Department of Lands. The TSR extract is comprised of approximately 25,000 polygons in the study area. These polygons were then attributed with names, IDs and other attributes from the Long Paddock (LP) points layer produced by the RLPB State Council, which contains approximately 4000 named reserves throughout the study area. This layer reflects the names and ID number by which the reserves were or are currently managed by the RLPB's. This layer was spatially joined with the TSR polygon layer by proximity to produce a polygon layer attributed with RLPB reserve names and ID numbers. This process was repeated for other small datasets in order to link data with the polygon layer and LP reserve names. The next and by far the most time consuming and laborious process in the project was transferring the data gathered from surveys undertaken with RLPB rangers about each reserve (location, spatial extent, name, currency conservation value and biodiversity). This spatial information was annotated on hard copy maps and referenced against the spatial join making manual edits where necessary. Edits were conducted manually as the reference information was only on hard copy paper maps. Any corrections were made to the merged layer to produce an accurate spatial reflection of the RLPB reserves by name and ID. This manual editing process composed the bulk of the time for layer production as all reserves in each RLPB district in the study area had to be checked manually. Any necessary changes had to then be made to correct the spatial location of the reserve and ensure the correct ID was assigned for attributing the conservation data. In approximately 80% of cases the spatial join was correct, although this figure would be less where long chains of TSR polygons exist. The majority of time was devoted to making the numerous additions that needed to be incorporated. A spreadsheet based on the LP point layer was attributed with the LP point [OBJECTID] in order to produce a unique reference for each reserve so that conservation and biodiversity value data could be attributed against each reserve in the spatial layer being produced. Any new reserves were allocated [OBJECTID] number both in the GIS and the spreadsheet in order to create this link. All relevant data was entered into the spreadsheet and then edited to a suitable level to be attached as an attribute table. Field names were chosen and appropriate an interpretable data formats each field. The completed spreadsheet was then linked to the shapefile to produce a polygon TSR spatial layer containing all available conservation and biodiversity information. Any additional attribute were either entered manually or obtained by merging with other layers. Attributes for the final layer were selected for usability by those wishing to query valuable Conservation Value (CV) data for each reserve, along with a number of administrative attributes for locating and querying certain aspects of each parcel. Constant error checking was conducted throughout the process to ensure minimal error being transferred to the production. This was done manually, and also by running numerous spatial and attribute based queries to identify potential errors in the spatial layer being produced. Follow up phone calls were made to the rangers to identify exact localities of reserves where polygons could not be allocated due to missing or ambiguous information. If precise location data was provided, polygons could be added in, either from other crown spatial layers or from cadastre. These polygons were also attributed with the lowest confindex rating, as their status as crown land is unknown or doubtful. In some cases existing GIS layers had been created for certain areas. Murray RLPB has data where 400+ polygons do not exist in the current crown TSR extract. According to the rangers interviewed it was determined the majority of these TSR exist. This data was incorporated in the TSR polygon by merging the two layers and then assigning attributes in the normal way, ie by being given a LP Name and ID and then updated from the marked up hard copy maps. In the confidence index these are given a rating of 1 (see confindex matrix) due to the unknown source of the data and no match with any other crown spatial data. A confidence index matrix (confindex) was produced in order to give the end user of the GIS product an idea as to how the data for each reserve was obtained, its purpose, and an indication to whether it is likely to be a current TSR. The higher the confindex, the more secure the user can be in the data. (See Confidence Index Matrix) This was necessary due to conflicting information from a number of datasets, usually the RLPB ranger (mark up on hard copy map) conflicting with the crown spatial data. If these conflicting reserves were to be deleted, this would lead to a large amount of information loss during the project. If additions were made without sufficient data to determine its crown status, currency, location, etc (which was not available in all cases) the end user may rely on data that has a low level of accuracy. The confindex was produced by determining the value of information and scoring it accordingly, compounding its value if data sources showed a correlation. Where an RLPB LP Name and ID point was not assigned to a polygon due to other points being in closer proximity these names and ID are effectively deleted from the polygon layer. In a number of cases this was correct due to land being revoked, relinquished and/or now freehold. In a number of cases where the TSR is thought to exist and a polygon could not be assigned due to no info available (Lot/DP, close proximity to a crown reserve, further ranger interview provided no info, etc etc). For these cases to ensure no information loss a points layer was compiled from the LP points layer with further info from the marked up hard copy maps to place the point in the most accurate approximate location to where the reserve is though to exist and then all CV data attached to the point. In many of these cases some further investigation could provide an exact location and inclusion in the TSR poly layer. The accuracy of the point is mentioned in the metadata, so that the location is not taken as an absolute location and is only to be used as a guide for the approximate location of the reserve. Topology checks were conducted to eliminate slivers in the layer and to remove duplicate polygons. Where two crown reserves existed on the same land parcel, the duplicate polygon was deleted and unique attributes (Crown Reserve Number, Type, and Purpose) were transferred. Once the polygon layer was satisfactorily completed, a list of the LP points not allocated to polygons was compiled. Any points (reserves) that were said to have been revoked or relinquished were then removed from this list to provide a list of those that are said to be current. An extract of the LP points layer was then produced with only the aforementioned points. These points were then attributed with the same conservation and biodiversity data as the polygon layer, in an attempt to minimise the amount of information loss.

Dataset Citation

"NSW Department of Environment, Climate Change and Water" (2010) Travelling Stock Route Conservation Values. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/198900d5-0d06-4bd0-832b-e30a7c4e8873.

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Metadata Portal Metadata Information

Spatial predictions of plant available water capacity (PAWC), drained upper limit (DUL) and crop lower limit (CLL) for grain-growing regions of NSW, Australia, from Padarian Campusano pedotransfer functions and NSW Office of Environment and Heritage (NSW OEH) datasets.

PAWC is the amount of water a soil can hold against gravity (i.e. water which does not freely drain) that is available to plants through their roots. This soil property is very important in dryland cropping areas which rely on rainfall. The maximum amount of water which can be held by a soil against gravity is called the DUL. The water that remains in a soil after plants have extracted all that is available to them is called the CLL. PAWC is calculated as DUL minus CLL.

Digital soil mapping (DSM) allows the spatial prediction of soil properties across large areas using modelling techniques which combine point data measured in the field and continuous datasets related to soil forming processes such as climate, topography, land cover, existing soil mapping and lithology. Pedotransfer functions (PTFs) are equations which use the easier to measure soil attributes, e.g. sand, clay, bulk density, to model the harder to measure attributes like DUL and CLL. DSM techniques such as Latin Hypercube (LHC) sampling can be used to incorporate the uncertainties associated with the input datasets in the modelling, and to produce estimates of model output precision and reliability.

This data collection consists of spatially predicted PAWC, DUL and CLL for the grain-growing regions of New South Wales, Australia, as defined by the boundary of the Grains Research and Development Corporation's Northern Region. PAWC was modelled using PTFs for DUL and CLL from Padarian Campusano, with LHC sampling to incorporate the uncertainties associated with the input datasets. The PAWC, DUL and CLL were modelled at the six Global Soil Map depths of 0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm, and 100-200 cm. The top five depths have been aggregated to create a PAWC prediction for 0-100 cm.

Lineage: INPUT DATASETS 1. Soil attribute layers from the NSW OEH via the eSpade website: clay (%), sand (%), and effective cation exchange capacity (CEC; cmol/kg). The estimated value (mean) and the RMSE values were used for all six Global Soil Map depths (0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm, and 100-200 cm). https://www.environment.nsw.gov.au/eSpade2Webapp 2. The Northern Region boundary from the Grains Research and Development Corporation (GRDC)

PEDOTRANSFER FUNCTIONS DUL and CLL equations from Padarian Campusano (2014), which used a subset of 806 soil profiles from the APSoil database that included field measurements of DUL and CLL: 1. DUL = 0.2358 + 0.002572*CEC + 0.001001*clay – 1.70 x 10^-7*sand^3 2. CLL = 0.6151*DUL – 0.02192 3. PAWC = DUL – CLL

METHODS These methods are available from Austin et al. (2019), see Related Links section.

The NSW OEH input datasets were clipped to the study area boundary and divided into tiles of 200 x 200 grid cells prior to parallel processing in a supercomputer environment. Except for the LHC sampling and correlation matrices, all code was written in Python. Layer thickness for each of the six soil depths was calculated in mm from the depth layer upper and lower bounds (e.g. 5 to 15 cm).

A correlation matrix was generated in the R package for the NSW OEH clay, sand, and CEC input datasets for each of the six depths, with correlation values derived using data for the whole study area for each of the inputs.

Each of the six soil depth layers was modelled separately. For every grid cell in each depth layer, the following steps were used to calculate DUL, CLL and PAWC: 1. The RMSE values for the clay, sand, and CEC input variables were used as approximations of standard deviation (SD) for input to the LHC sampling

1. LHC sampling with a correlation matrix (from the R pse library; Chalom and Prado, 2014), using means, SDs and a correlation matrix as inputs, produced fifty realisations of each input variable. Fifty realisations were chosen following the work of Malone et al. (2015) who found that there was little difference in outcome when using more than 50 samples

2. 50 DUL and CLL values were calculated from the 50 input variable realisations using the DUL and CLL equations from Padarian Campusano (2014)

3. 50 PAWC values were calculated from the DUL and CLL values, constrained by the depth layer thickness, with units of mm

4. From the 50 DUL, CLL and PAWC values for each grid cell, the mean, median, 5th and 95th percentiles, and SD were calculated and written to file as geotiffs

The tiled outputs were merged to form single rasters of the study area for DUL, CLL and PAWC at each of the six depths. Additionally, the 0-5, 5-15, 15-30, 30-60 and 60-100 cm soil depth layers were used to calculate 0-1 m versions of DUL, CLL and PAWC. The mean, median, 5th and 95th percentile values were summed to produce the 0-1 m DUL, CLL or PAWC prediction for each grid cell. This aggregation of depths assumes high correlation between layers – for example, the 95th percentile for the 0 – 1 m layer is the sum of the 95th percentiles for each contributing layer. If the layers were uncorrelated, the 95th percentile would end up closer to the mean. The SD for each of the 0-1 m DUL, CLL and PAWC layers was calculated from the summed 5th and 95th percentiles, as per the equation from Malone et al. (2011).