This polygon feature class represents the spatial extent of historical BLM Administrative Unit Boundaries (at the State, District, and Field Office levels).This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results. The national dataset is updated following the data standard schedule

This layer displays Noise Control Boundaries identified in the Taupō District Plan. The ‘Class’ field/column refers to the boundary area (ANB = Airport Air Noise Boundary, OCB = Airport Outer Control Boundary, NC40 = Noise Control Boundary 40 dBA leq). Noise boundaries have been placed around power stations within the District and the Taupō airport. The Taupō District Plan has been operative since 2007. Selected datasets from the Taupō District Plan have been made available for download to allow for better public access to the data underlying the plan. Note that some features mapped for district plan purposes may have changed over time. Taupō District Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the District Plan data released for public download. The data provided is indicative only and does not purport to be a complete database of all information in Taupō District Council's possession or control. Taupō District Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data. While you are free to crop, export and repurpose the data, we ask that you attribute the Taupō District Council and clearly state that your work is a derivative and not the authoritative data source. Please include this statement when distributing any work derived from this data:This work is a derivative of the Taupō District Plan. You can view the full Taupō District E-Plan here: https://taupo.isoplan.co.nz/eplan/

This feature class displays the State data for the dataset that represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific 'production' or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys), and the Bureau of Census 2015 Cartographic State Boundaries. The Entity-Attribute section of this metadata describes these components in greater detail.

Please note that the data on this site, although published at regular intervals, may not be the most current PLSS data that is available from the BLM. Updates to the PLSS data at the BLM State Offices may have occurred since this data was published. To ensure users have the most current data, please contact the BLM PLSS Data Set Manager.

This feature class depicts the boundaries of Land Survey features called sections, defined by the Public Lands Survey System Grid. Normally, 36 sections make up a township. The entire extent of each of these units should be collected, not just the portion on National Forest System lands. This dataset is derived from the USFS Southwestern Region ALP (Automated Lands Program) data Project. This is one of six layers derived from ALP for the purpose of supplying data layers for recourse GIS analysis and data needs within the Forest Service. The six layers are Surface Ownership, Administrative Forest Boundary, District Boundary, Townships, Sections, and Wilderness. There were some gapes in the ALP data so a small portion of this dataset comes from CCF (Cartographic Feature Files) datasets and the USFS Southwestern Region Core Data Project. ALP data is developed from data sources of differing accuracy, scales, and reliability. Where available it is developed from GCDB (Geographic Coordinate Data Base) data. GCDB data is maintained by the Bureau of Land Management in their State Offices. GCDB data is mostly corner data. Not all corners and not all boundaries are available in GCDB so ALP also utilizes many other data sources like CFF data to derive its boundaries. GCDB data is in a constant state of change because land corners are always getting resurveyed. The GCDB data used in this dataset represents a snapshot in time at the time the GCDB dataset was published by the BLM and may not reflect the most current GCDB dataset available. The Forest Service makes no expressed or implied warranty with respect to the character, function, or capabilities of these data. These data are intended to be used for planning and analyses purposes only and are not legally binding with regards to title or location of National Forest System lands.

The NSW Administrative Boundaries Web Service is a dynamic map of administrative and property boundaries. Administrative Areas Boundaries depict a polygon feature class within the NSW Digital Cadastral Database maintained by LPI. The administrative boundaries provided through this web service includes: Counties, Suburbs, Parishes, Local Government Areas, State Forests, National Parks, State Electoral Districts. For detailed information, for each individual dataset contained in this web services, please see the Digital Cadastre Database Dictionary published at http://www.lpi.nsw.gov.au/mapping_and_imagery/spatial_data.

This web service allows users to easily integrate NSW Administrative Boundaries into OGC compliant spatial platforms and applications. Administrative Boundaries can be used to aggregate information for analytical purposes and analyse time series trends. 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.

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: The Geofabric Surface …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied: The Geofabric Surface Catchments product is derived from the National Catchment Boundaries (NCB) V1.1.4. This data defines a catchment for every stream segment containd within the Geofabric Surface Network product according to the GEODATA Nine Decond Digitial Elevation Model (DEM-9S) Version 3. These stream segment level boundaries may be used individually or in aggregation. The product is designed to represent geographic surface boundaries that have a hydrological relationship to surface water features. The NCB Level 1 and NCB Level 2 features are the top two levels in the NCB Catchment hierarchy and have been provided as polygon boundaries. This product contains one Geofabric feature type called Catchment. It also contains three NCB feature types including: NCBLevel1Drainage Division, NCBLevel2Drainage Basin and NCBPfafstetter. Purpose This product is intended to support the creation of or definition of topologically consistent and hydrologically enforced streamflow aggregation boundaries. The catchment attributes can be extending by linking the NCB Pfafstetter table to include the Pfafstetter reference system for identifying and aggregating catchments. This product is intended to supplement the Geofabric Surface Cartography and Geofabric Surface Network data products. This product is also used to as the basis for building contracted catchments in the Geofabric Hydrology Reporting Catchments product and provides a spatial framework for analysis and assessment of streams and their catchments. Dataset History Geofabric Surface Catchments is part of a suite of Geofabric products produced by the Australian Bureau of Meteorology. The geometry of this product is largely derived from the National Catchment Boundaries (NCB) V1.1.4. It consists of catchments, NCB Level 1 Drainage Divisions, NCB Level 2 Drainage Basins and the NCB Pfafstetter table. The feature class terminology for Geofabric Surface Catchment components has been modified to distinguish it in terms of the products underlying data model. The AHGFCatchments are based upon polygons converted from a regular 9 second grid delineating the NCBs for the Australian continent. The NCBs delineate hierarchically-nested catchments derived using an automated drainage analysis procedure based on a multi-flow extension of the version 3.1 flow direction grid associated with the 9 second DEM (GEODATA National 9 Second Digital Elevation Model (DEM-9S) Version 3, ANZLIC unique identifier: ANZCW0703011541). At the highest levels in the hierarchy the NCBs aggregate the 9 second drainage basins (9 second Basins product name and ANZLIC identifier to be inserted) into 12 topographically-defined Drainage Divisions (Level 1) and 191 Drainage Basins (Level 2) approximating the Australian Water Resources Council (AWRC) River Basins (Australia's River Basins, Geoscience Australia, 1997 ANZLIC identifier: ANZCW0703005427) where possible. At lower levels, the Level 2 units are sub-divided into successively finer sub-catchments using a modified version of the Pfafstetter procedure (Verdin, K. L. and Verdin, J. P. (1999) A topological system for delineation and codification of the Earth's river basins. Journal of Hydrology, 218(1-2), 1-12). This layer delineates the lowest level catchment units being the sub-catchments draining directly to a stream segment in the ANUDEM stream layer or, where there are no ANUDEM Derived Streams (ANUDEM Streams), the 9 second drainage basin. The higher level catchment membership of each of these sub-catchments is derived from its NCB code. Changes at v2.1 - SegnoLink updates. ! updates to NCB level 2 names to conform with HR_Regions. Changes at v2.1.1 ! Updates to NCB level 2 names to conform with HR_Regions. - SegnoLink attribute update to fix single catchment feature in Tasmania. - Correction to spelling of Numeralla river in AHGFCatchment (formerly Numaralla). - Correction of name for NCBLevel2DrainageBasinGroup, 'Moorabool River' Basin Group renamed to 'Little River'. - Fixed a series of NoFlow catchments (small internally draining catchments not related to a stream segment) in Murray-Darling were incorrectly attributed as externally draining via the ExtrnlBasn field in AHGFCatchments. - Fixed Basin attribute values in NCBPfafstetterm, which were incorrectly populated with BasinLevel field. Processing steps: ANUDEM v1.1.4 National Catchment Boundaries (NCBs) dataset is received and loaded into the Geofabric development GIS environment. feature classes from ANUDEM NCBs are recomposed into composited Geofabric Framework Dataset feature classes in the Geofabric Maintenance Geodatabase. re-composited feature classes in the Geofabric Maintenance Geodatabase Feature Dataset are assigned unique Hydro-IDs using ESRI ArcHydro for Surface Water (ArcHydro: 1.4.0.180 and ApFramework: 3.1.0.84) feature classes from the Geofabric Maintenance Geodatabase Feature Dataset are extracted and reassigned to the Geofabric Surface Catchment Feature Dataset within the Geofabric Surface Catchment Geodatabase. A complete set of data mappings, from input source data to Geofabric Products, is included in the Geofabric Product Guide, Appendices. Dataset Citation Bureau of Meteorology (2015) Geofabric Surface Catchments - V2.1.1. Bioregional Assessment Source Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/f50136c8-5ca0-4165-91d2-bb0ed66866e4.

Seattle Park and Recreation Park Boundary Centroids. This centroid layer is generated from the Park boundary outline. This feature class is also derived weekly.

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 product, Australian Statistical Geography Standard (ASGS) Volume 1 - Main Structure and Greater Capital City Statistical Areas (cat no. 1270.0.55.001), is the first in a series of Volumes that will detail the various structures and regions of the ASGS. Its purpose is to outline the conceptual basis of the regions of the Main Structure and the Greater Capital City Statistical Areas and their relationship to each other.

Volume 2 - Indigenous Structure (cat no. 1270.0.55.002), is the second in a series of Volumes that detail the various structures and regions of the ASGS. Its purpose is to outline the conceptual basis for the design of the Indigenous Structure. This product contains several elements including the manual, region names and codes and the digital boundaries.

The Non-ABS Structures bring together those regions which are not defined by the ABS, but which are important to users of ABS statistics. ABS is committed to providing a range of statistics for these areas. They generally represent administrative regions and are approximated by Mesh Blocks (MBs), Statistical Areas Level 1 (SA1) or Statistical Areas Level 2 (SA2). As the Non-ABS Structures represent regions that are subject to ongoing change, the ABS will release a revised publication for ASGS Non-ABS Structures in July each year. The individual structures will only be updated where significant change has occurred in the past year.

Full metadata is available at the feature class level by selecting the 'Description' tab in ArcCatalog.

This dataset contains three Geodatabases:

1. ABS Boundaries 2011

Feature Classes:

a) Greater Capital City Statistical Area polygons for Australia - GCCSA_2011_AUST

b) Mesh Block polygons split into State feature classes - MB_2011_[STATE]

c) Statistical Area polygons, Split into Levels 1, 2, 3 and 4 feature classes - SA[LEVEL]_2011

d) State Borders for Australia polygons - STE_2011_AUST

1. Indigenous Structures 2011

Feature Classes:

a) Indigenous Areas - Polygons

b) Indigenous Locations - Polygons

c) Indigenous Regions - Polygons

1. Non ABS Boundaries 2011

Feature Classes

a) Australian Drainage Divisions

b) Commonwealth Electoral Divisions

c) Local Government Areas

d) Postal Areas

e) State Electoral Boundaries

f) State Suburb Code

g) Tourism Regions

Dataset History

The Australian Statistical Geography Standard (ASGS) is a hierarchical classification system of geographical regions and consists of a number of interrelated structures. The ASGS brings all the regions for which the Australian Bureau of Statistics (ABS) publishes statistics within the one framework and will be used by the ABS for the collection and dissemination of geographically classified statistics from the 1 July 2011. It provides a common framework of statistical geography and enables the production of statistics which are comparable and can be spatially integrated.

Dataset Citation

Australian Bureau of Statistics (2011) ABS Boundaries 2011. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/8b65c3a4-7010-4a79-8eaa-5621b750347f.

The Semantic Boundaries Dataset (SBD) is a dataset for predicting pixels on the boundary of the object (as opposed to the inside of the object with semantic segmentation). The dataset consists of 11318 images from the trainval set of the PASCAL VOC2011 challenge, divided into 8498 training and 2820 test images. This dataset has object instance boundaries with accurate figure/ground masks that are also labeled with one of 20 Pascal VOC classes.

Abstract

This dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Data used for final plots were processed by IMIA Analysis Database (GUID: 69075f3e-67ba-405b-8640-96e6cb2a189a) which describes all provenance. Figures using these data were created using the Python scripting environment. Figures using these data were created using the Python scripting environment.

Purpose

This dataset was created to draw plots of cumulative areas of groundwater drawdown in the regional watertable aquifer corresponding to MBC Asset and Landscape Class features.

Dataset History

MBC Landscape Class and Asset data split by assessment unit for the MBC FAE were joined to drawdown summary tables for the regional watertable using the AUID field as the relational key. The resulting attribute tables were exported and used to draw cumulative plots in the Python scripting environment.

Dataset Citation

Bioregional Assessment Programme (2016) MBC Asset and landscape class drawdown cumulative plots. Bioregional Assessment Derived Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/10ef1f43-dc1f-47ad-b875-6010874daebd.

Dataset Ancestors

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204

• Derived From Surface Geology of Australia, 1:1 000 000 scale, 2012 edition

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 16 June 2015

• Derived From South East Queensland GDE (draft)

• Derived From Geofabric Surface Cartography - V2.1

• Derived From Environmental Asset Database - Commonwealth Environmental Water Office

• Derived From QLD Dept of Natural Resources and Mines, Surface Water Entitlements 131204

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From Catchment Scale Land Use of Australia - 2014

• Derived From MBC Groundwater model domain boundary

• Derived From Key Environmental Assets - KEA - of the Murray Darling Basin

• Derived From Bioregional Assessment areas v03

• Derived From MBC Impact and Risk Analysis Database v01

• Derived From MBC Groundwater model ACRD 5th to 95th percentile drawdown

• Derived From Permanent and Semi-Permanent Waterbodies of the Lake Eyre Basin (Queensland and South Australia) (DRAFT)

• Derived From Receptors for the Maranoa-Balonne-Condamine subregion

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From MBC Assessment Units 20160714 v01

• Derived From Victoria - Seamless Geology 2014

• Derived From Matters of State environmental significance (version 4.1), Queensland

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From Bioregional Assessment areas v06

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 9 June 2015

• Derived From Queensland wetland data version 3 - wetland areas.

• Derived From Groundwater Preliminary Assessment Extent (PAE) for the Maranoa Balonne Condamine (MBC) subregion - v02

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 05 February 2016

• Derived From MBC Groundwater model layer boundaries

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Baseline drawdown Layer 1 - Condamine Alluvium

• Derived From MBC Assessment unit codified by regional watertable

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014

• Derived From MBC Assessment Units 20160714 v02

• Derived From MBC Groundwater model water balance areas

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 25 February 2015

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal

• Derived From QLD DNRM Surface Water Licences linked to Spatial Locations - v1 20140313

• Derived From Spring vents assessed for the Surat Underground Water Impact Report 2012

• Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

• Derived From NSW Office of Water GW licence extract linked to spatial locations NIC v2 (28 February 2014)

• Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013

• Derived From MBC Assessment Units 20161211 v01

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 26 June 2015

• Derived From Geofabric Surface Catchments - V2.1

• Derived From National Groundwater Information System (NGIS) v1.1

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From MBC ZoPHC and component layers 20170117

• Derived From Queensland groundwater dependent ecosystems

• Derived From Gippsland Project boundary

• Derived From Queensland Water Commission, Underground Water Impact Report for the Surat Cumulative Management Area, 2012 - Report and Data

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Great Artesian Basin - Hydrogeology and Extent Boundary

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From Geological Provinces - Full Extent

• Derived From [MBC Analysis Boundaries 20160718

This polyline feature class represents the arc features that will define the boundaries of BLM Land Use Planning Area (LUPA) anticipated, in-progress, existing and historic polygons. Their attributes serve to store feature level metadata information for the polygon boundaries, as well as document the origin and characteristics of each arc.

Seattle Parks and Recreation owned and managed properties within the city limits or at the borders of the city limits. SPR properties that are well outside of the city limits are not shown. For most use cases, this using this Park boundary is fine.BEWARE: Properties includes Parks Maintenance and Shop Locations, Life Estates (properties that are owned by private citizens until their passing), Properties are own by other City departments or agencies and managed by SPR, SPR owned properties that are managed by other city departments or agencies, Park leased properties, and submerged SPR properties.If a more detailed park delineation is required then use Parks Boundary Details.This is a (weekly) generalized feature class based on DPR.Parks by Park Name.

This polygon feature class represents the spatial extent of active BLM Administrative Unit Boundaries for Administrative state of Nevada at the State, District, and Field Office levels.

This data set shows the Idaho Bureau of Land Management (BLM) Field Office, District Office and State Office boundaries and names as per the three-tier organization initiated in February 2007. A Bureau of Land Management (BLM) Administrative Unit is a geographic area in which an organizational unit of the BLM has distinct jurisdictional responsibility for land and resource management activities occurring on the public lands, the maintained rights of the United States (i.e. mineral estate) and actions relating to the Trust responsibilities of the U.S. Government as stipulated in Law or Treaty.The State Office is the top layer of the three-tier organization, with District Offices being the middle layer and providing coordination, oversight and support to the lowest level, the Field Office. Idaho has one State Office, four Districts and twelve Field Offices. This feature class documents the physical boundary of an administrative unit. In some cases, the administrative unit may manage areas outside of the boundary for other programs’ purposes - this datset does not show these areas. BLM Idaho administers a little land in Nevada also, which is included here. For more information contact us at blm_id_stateoffice@blm.gov.

This polygon feature class represents the spatial extent of active BLM Alaska Administrative Unit Boundaries at the State, District, and Field Office levels.

It has long been established that earthquake ground motions may be amplified by weak deposits such as soils and other unconsolidated sediments. Seismic microzonation aims to identify these amplification effects through the classification of subsoil classes or local ground shaking properties and appropriate engineering design.In New Zealand, the current building code NZ1170.5 (Standards New Zealand 2004) specifies discrete subsoil classes ranging from A (hard rock) to E (very soft sediment). This project has developed new subsoil class maps for the Wellington City Territorial Authority area managed by the Wellington City Council.The maps were generated from new geological mapping available for the area, an updated borehole database, a database of site period measurements and a 3D geological model constructed for this study.The updated maps use the 2004 NZS1170.5 standard subsoil classification.The area mapped in this study extends from Tawa southwards, encapsulating Johnsonville, Newlands, Khandallah, Wilton, Karori, Ngauranga, Horokiwi, Thorndon, Te Aro, Newtown, Island Bay, Kilbirnie, Miramar and Seatoun. These areas all have accumulations of looseto dense Quaternary sediment deposited on indurated and variably weathered Rakaiaterrane basement rock. The sediment in these areas varies in thickness from a few metres to several hundred metres.The soft sediments are prone to amplification of ground motion during earthquakes, particularly where significant thicknesses are preserved.The subsoil classifications mapped in Wellington City are NZS1170.5: B, C, D and E.To create the boundaries and subsoil class maps, a 3D geological model has been constructed,drawing on databases of site period measurements and borehole data. In total, 931 site period measurements from previous studies are compiled in the database, with some reprocessed for this study. Records from 2422 boreholes are also compiled into another database from sources such as the New Zealand Geotechnical Database (NZGD), GNS Science and private records available to GNS Science for research purposes. A 3D geological model was created from these data and from existing geological mapping to model the sub-surface geometry of11 geological units and create depth to basement and thickness maps. All of these data were utilised to create a map of the subsoil classification in Wellington City and improve on previous studies through the integration of new data compiled and advanced modelling techniques.Several areas around Wellington are data-poor and lack borehole information or geophysical measurements to constrain the subsoil classes and their boundaries. We recommend that additional data is collected in important zones, such as those in Kilbirnie and Miramar where subsoil classes D and E are modelled, allowing their extent to be better determined.

Suburb dataset represents the gazetted boundary of a suburb or locality area. The Geographical Names Board (GNB) is responsible for new suburb names and amendments to the extent of a suburb boundary. The dataset also contains post codes that are held against each suburb, sourced and matched from Australia Post. It is a polygon feature class within the NSW Digital Cadastral Database (DCDB).

The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses. For more information on the NHDPlus dataset see the NHDPlus v2 User Guide.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territories not including Alaska.Coordinate System: Web Mercator Auxiliary Sphere Extent: The United States not including Alaska, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American Samoa Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Number of Features: 3,035,617 flowlines, 473,936 waterbodies, 16,658 sinksSource: EPA and USGSPublication Date: March 13, 2019Prior to publication, the NHDPlus network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the NHDPlus Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, On or Off Network (flowlines only), Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original NHDPlus dataset. No data values -9999 and -9998 were converted to Null values for many of the flowline fields.What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute. Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map. Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

This polygon feature class shows the spatial extent and boundaries of Areas of Critical Environmental Concern that have become officially designated by the BLM. These polygon features were previously in a pre-designated status (i.e. being considered as areas to be eventually designated as official ACEC designated polygons). Once these polygon feature left the Pre-Designated phase (transitioned from a Considered to Designated status), they were removed from the ACEC Pre-designated polygon feature class and placed in this ACEC Designated polygon feature class. This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Implementation Guide represents the official national dataset from which this dataset was derived.

Local Government Area depicts polygons of gazette boundaries defining the Local Government Area. It contains all of the cadastral line data or topographic features which are used to define the boundaries between adjoining shires, municipalities, cities (Local Government Act 1993) and the unincorporated areas of NSW. The dataset also contains Council Names and ABS Codes It is a feature class within the NSW Digital Cadastral Database (DCDB).