The information is extracted from the asset inventory database, Asset-Finda on a daily basis. Items identified have been geolocated over a long period of time and through various methods, including information provided by 3rd parties. In general, asset locations are obtained from 'As Built Diagrams' and as such may not be validated in all circumstances. The asset inventory is frequently updated and modification can be made to the asset data structure (asset hierarchy) without prior notification. Due to a wide range of source information all asset locations should be verified through the Asset Information Officers and or site visits. This is an incomplete dataset, other information is held and maintained independently. Waikato District Alliance holds storm water asset information for all assets under the road pavement. Waikato Regional Council holds further asset information in all the rural areas.The primary purpose of this inventory is for asset valuations. The inventory is utilised in forward works and capital work planning. Information on Water Supply assets for service requests is displayed on 3 Waters map. The storm water network is an integral part of the land use and consents process, however site visits should be done to validate the status, position and condition of assets.

This feature layer contains Water and Sewer Infrastructure Location Data. Data is represented by Water Asset Points, Water Asset Lines, Sewer Asset Points and Sewer Asset Lines. Fields include Asset ID and Feature Class only. Water Assets contain: Water Hydrants, Water Maintenance Hole, Water Valves, Water Service Fittings, Water Supply Pipes. Sewer Assets contain: Sewer Fittings, Sewer Maintenance Holes, Sewer Meters, Sewer Valves, Sewer Designated Outlet, Sewer Connections, Sewer Pipe Pressure, Sewer Pipe Non Pressure. While every care is taken to ensure the accuracy of this product, Logan City Council do not make any representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs that may occur as a result of the product being inaccurate or incomplete in any way or for any reason.

This feature layer contains Water and Sewer Infrastructure Location Data. Data is represented by Water Asset Points, Water Asset Lines, Sewer Asset Points and Sewer Asset Lines. Fields include Asset ID and Feature Class only. Water Assets contain: Water Hydrants, Water Maintenance Hole, Water Valves, Water Service Fittings, Water Supply Pipes. Sewer Assets contain: Sewer Fittings, Sewer Maintenance Holes, Sewer Meters, Sewer Valves, Sewer Designated Outlet, Sewer Connections, Sewer Pipe Pressure, Sewer Pipe Non Pressure. While every care is taken to ensure the accuracy of this product, Logan City Council do not make any representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs that may occur as a result of the product being inaccurate or incomplete in any way or for any reason.

Food asset mapping is gaining prominence in Canada as an important planning tool for the evaluation of local food systems. In addition to being used by planners to identify opportunities for improved food security, food asset maps are also valuable references for sourcing food locally, particularly by people experiencing food insecurity. Seventy-three food asset maps were reviewed and categorized based on the types of food assets included as well as design characteristics. Built environment assets such as grocery stores and food banks were included in most maps, as were agriculture-based natural food assets like farms, community gardens, and orchards. However, representations of Indigenous-focussed food assets and natural food assets that are not agriculture-based, such as forests, water bodies, and foraging areas, were generally lacking. The lack of representation of Indigenous perspectives on what is considered a food asset reinforces the values of a settler-colonial food system in food asset maps. The methods for food asset mapping therefore need to be changed from current quantitative practices that largely rely on secondary data sources led by governments and non-profit organizations to collaborative approaches that centre the perspectives of Indigenous peoples and other equity deserving groups.La cartographie des ressources alimentaires gagne en importance au Canada en tant qu’outil de planification important pour l’évaluation des systèmes alimentaires locaux. En plus d’être utilisées par les planificateurs pour identifier les possibilités d’amélioration de la sécurité alimentaire, ces cartes sont aussi des références précieuses pour l’approvisionnement local, en particulier pour les personnes en situation d’insécurité alimentaire. Soixante-treize cartes de ressources alimentaires ont été examinées et classées en fonction des types de ressources et des caractéristiques de conception. L’environnement bâti, incluant les épiceries et les banques alimentaires, a été inclus dans la plupart des cartes, de même que les lieux d’agriculture d’aliments naturels, tels que les fermes, les jardins communautaires et les vergers. Cependant, les ressources alimentaires du point de vue des populations autochtones et celles d’origine naturelle qui ne sont pas issues de l’agriculture, telles que les forêts, les plans d’eau et les zones de cueillette, étaient généralement absentes. Le manque de représentation des perspectives autochtones sur ce qui est considéré comme une ressource alimentaire renforce les valeurs d’un système alimentaire colonial dans ces cartes. Les méthodes de cartographie doivent donc être modifiées et passer des pratiques quantitatives actuelles, qui reposent largement sur des sources de données secondaires gérées par les gouvernements et les organisations sans but lucratif, à des approches collaboratives qui tiennent compte des points de vue des peuples autochtones et d’autres groupes méritant d’être traités avec équité.

Asset inventory data for a variety of structures and infrastructure relating to water systems or drainage in urban areas. The features in this dataset are measured by length and represent linear features such as pipe networks or open drains. The information is extracted from the asset inventory database on a daily basis. Items identified have been geolocated over a long period of time and through various methods, including information provided by 3rd parties. In general, asset locations are obtained from as built diagrams and as such may not be validated in all circumstances. The asset inventory is frequently updated and modification can be made to the asset data structure (asset hierarchy) without prior notification. Due to a wide range of source information all asset locations should be verified through the Asset Information Officers and or site visits. This is an incomplete dataset, other information is held and maintained independently.The primary purpose of this inventory is for asset valuations. The inventory is utilised in forward works and capital work planning. Information on Water Supply assets for service requests is displayed on 3 Waters map. The Water Supply network is an integral part of the land use and consents process, however site visits should be done to validate the status, position and condition of assets.Waikato OneView does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Locations and dimensions of assets depicted in the data may not be accurate due to circumstances not notified to Council. While you are free to crop, export and re-purpose the data, we ask that you attribute the Waikato OneView and clearly state that your work is a derivative and not the authoritative data source.

Taupō District Council potable water point layer derived from the AssetFinda database. Water point assets include water meters, toby valves, intake points and nodes. This dataset is scheduled to update in the WLASS open data site every 24 hours.Selected asset inventory data from the Taupō District council AssetFinda database has been made available for download to the public. Note that the AssetFinda database is a live database with updates and modifications to asset information occurring on a frequent basis. Taupō District Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the AssetFinda 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 data in the Taupō District Council AssetFinda database; the provided information may be updated at any time, and may be, at times, out of date, inaccurate and/or incomplete.

Recreation asset dataset describes assets related to recreation sites or trails (such as toilets, viewing platforms, picnic shelters etc) within State Forest. This dataset provides valuable information to promote these assets for public use as well as assisting staff in their management of these assets. All recreation assets within State Forest have been captured and recorded with a Trimble Pro XR GPS and are actively promoted to the public and maintained by the Department of Environment, Land, Water and Planning. Recreation Asset dataset endeavors to describe recreation assets within State Forest. This dataset will assist staff in their management roles and facilitate promotion to the public. All recreation facilities within State Forest have been captured and recorded with a Trimble Pro XR GPS. All facilities are actively promoted to the public and maintained by the Department of Sustainability and Environment. This dataset has been created as part of the Recreation Facilities Database project. Initial data collection commenced in December 2004 and will be completed in August 2005. New facilities will be added periodically to the dataset as required.

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This dataset is an extension of the Existing Hydropower Assets (EHA) Plant Database, 2021, released by Oak Ridge National Laboratory through HydroSource. The extension enhanced EHA to support modeling performed under the Department of Energy Water Power Technologies Office's SECURE Water Act Section 9505 Third Assessment (9505). Enhancements to the dataset include:

• Updating facility spatial locations to explicitly represent the location of the powerhouse
• Revising and filling in missing values for a facility's Balancing Authority
• Adding additional attributes describing a facility's source of water
• Adding additional attributes to link a facility's source of water to the corresponding river reach in the National Hydrography Dataset Plus Version 2 using the COMID identifier

A companion dataset was developed that identifies the spatial locations of the sources of water for each hydropower facility.

Users are referred to HydroSource for descriptions of fields included in the original dataset. Descriptions for fields added to the dataset are provided below:

Both Rclass and Nclass use abbreviations for classification. Rclass includes:

Nclass includes:

The classification system was developed to support the needs of the 9505 project. Every attempt was made to ensure accuracy, however errors may exist. Please note that this dataset was created from the 2021 version of EHA. EHA is updated annually and newer versions may contain more reliable information depending on need.

Asset inventory data for a variety of structures and infrastructure relating to water systems or drainage in urban areas. The features in this dataset are measured by length and represent linear features such as pipe networks or open drains. The information is extracted from the asset inventory database on a daily basis. Items identified have been geolocated over a long period of time and through various methods, including information provided by 3rd parties. In general, asset locations are obtained from as built diagrams and as such may not be validated in all circumstances. The asset inventory is frequently updated and modification can be made to the asset data structure (asset hierarchy) without prior notification. Due to a wide range of source information all asset locations should be verified through the Asset Information Officers and or site visits. This is an incomplete dataset, other information is held and maintained independently.The primary purpose of this inventory is for asset valuations. The inventory is utilised in forward works and capital work planning. Information on Water Supply assets for service requests is displayed on 3 Waters map. The Water Supply network is an integral part of the land use and consents process, however site visits should be done to validate the status, position and condition of assets.Waikato OneView does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Locations and dimensions of assets depicted in the data may not be accurate due to circumstances not notified to Council. While you are free to crop, export and re-purpose the data, we ask that you attribute the Waikato OneView and clearly state that your work is a derivative and not the authoritative data source.

This map shows the assets used by the Water Management Division(WMD) to control the flow of surface water through secondary canal systems in northern Broward County. The systems comprise the dependent water control districts of Cocomar, Water Control District 2, Water Control District 3, Water Control District 4 as well as some regional assets. The map also indicates water bodies throughout the County for which WMD provides treatment for aquatic weeds. Layers include pump stations, control structures, canals, culverts and maintenance boat ramps. Locations with Surface Water Management licenses are shown, many with attached plans. The layers are subject to update as the system is changed and historic data is added.

Abstract The 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 …Show full descriptionAbstract The 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. Contains a geodatabase with selected feature classes used to interpolate Hydrological Response Variables (HRVs) along the streams. This includes feature classes derived from the Geofabric Surface Water Network streams (source data) and spatially represents the reaches described in the accompanying lookup table so that surface water modelling based Hydrological Response Variables (HRVs) can be applied spatially along stream lengths. The interpolation is also applied to the Geofabric Cartographic Streams for mapping purposes. Model nodes and stream reaches tagged with the Landscape Classifications for those features are also included. Purpose Used for mapping prurposes Dataset History Line segments from the Geofabric Network Streams and Cartogrpahic Streams source dataset were grouped into reach sections based on HUN SW Modelling Reaches and HRV lookup 20170221 v02 (GUID: af0272b4-3a44-44ad-adba-5345a2b15f41) using the surface water node locations and described river junctions and other defined locations as spatial reference. Reaches were given a unique ID and dissolved into a multpart lines. There is also a Network version which further breaks the reaches into their Riverine Landscape classes. Dataset Citation Bioregional Assessment Programme (XXXX) HUN AWRA-R SW Interpolations DB v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/69f4d645-f27c-4623-846f-ee66187d0605. Dataset Ancestors Derived From HUN SW Modelling Reaches and HRV lookup 20170221 v02 Derived From River Styles Spatial Layer for New South Wales Derived From Greater Hunter Native Vegetation Mapping with Classification for Mapping Derived From NSW Wetlands Derived From Geofabric Surface Network - V2.1 Derived From HUN AWRA-R simulation nodes v01 Derived From Asset database for the Hunter subregion on 24 February 2016 Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014 Derived From HUN AWRA-R River Reaches Simulation v01 Derived From HUN DEM derived catchment boundaries v01 Derived From HUN AWRA-L simulation nodes v02 Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014 Derived From Hunter subregion boundary Derived From Atlas of Living Australia NSW ALA Portal 20140613 Derived From Bioregional Assessment areas v03 Derived From Selected streamflow gauges within and near the Hunter subregion Derived From Groundwater Entitlement Hunter NSW Office of Water 20150324 Derived From Asset database for the Hunter subregion on 20 July 2015 Derived From HUN River Perenniality v01 Derived From Climate Change Corridors (Moist Habitat) for North East NSW Derived From Bioregional Assessment areas v01 Derived From Bioregional Assessment areas v02 Derived From NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013 Derived From HUN Landscape Classification v02 Derived From Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015 Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Geofabric Surface Network - V2.1.1 Derived From SYD ALL Raw Stream Gauge Data BoM v01 Derived From NSW Office of Water Surface Water Offtakes - Hunter v1 24102013 Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From Northern Rivers CMA GDEs (DRAFT DPI pre-release) Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From HUN Landscape Classification v03 Derived From National Surface Water sites Hydstra Derived From Asset database for the Hunter subregion on 22 September 2015 Derived From NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014 Derived From Natural Resource Management (NRM) Regions 2010 Derived From NSW Office of Water - GW licence extract linked to spatial locations for North and South Sydney v2 20140228 Derived From HUN AssetList Database v1p2 20150128 Derived From Australia - Species of National Environmental Significance Database Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release) Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013 Derived From Travelling Stock Route Conservation Values Derived From SSB Hydstra gauges v01 Derived From Birds Australia - Important Bird Areas (IBA) 2009 Derived From Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004 Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129 Derived From Threatened migratory shorebird habitat mapping DECCW May 2006 Derived From Hunter Surface Water data v2 20140724 Derived From Asset list for Hunter - CURRENT Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) Derived From Ramsar Wetlands of Australia Derived From Geological Provinces - Full Extent Derived From NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516 Derived From GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514 Derived From HUN SW Model nodes 20170110 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From Asset database for the Hunter subregion on 16 June 2015 Derived From Australia World Heritage Areas Derived From Lower Hunter Spotted Gum Forest EEC 2010 Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From Greater Hunter Native Vegetation Mapping Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases Derived From NSW Office of Water - National Groundwater Information System 20141101v02 Derived From Hunter Surface Water data extracted 20140718 Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From HUN AWRA-L simulation nodes_v01 Derived From Climate Change Corridors Coastal North East NSW Derived From Climate Change Corridors for Nandewar and New England Tablelands Derived From Fauna Corridors for North East NSW Derived From GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008 Derived From Asset database for the Hunter subregion on 27 August 2015 Derived From Hunter CMA GDEs (DRAFT DPI pre-release) Derived From Camerons Gorge Grassy White Box Endangered Ecological Community (EEC) 2008 Derived From Gosford Council Endangered Ecological Communities (Umina woodlands) EEC3906 Derived From Native Vegetation Management (NVM) - Manage Benefits Derived From GEODATA TOPO 250K Series 3 Derived From BA SYD selected GA TOPO 250K data plus added map features Derived From Commonwealth Heritage List Spatial Database (CHL) Derived From Groundwater Economic Elements Hunter NSW 20150520 PersRem v02 Derived From SYD ALL Unified Stream Gauge Data v01 Derived From Climate Change Corridors (Dry Habitat) for North East NSW Derived From Asset database for the Hunter subregion on 12 February 2015 Derived From Operating Mines OZMIN Geoscience Australia 20150201 Derived From Groundwater Economic Assets Hunter NSW 20150331 PersRem Derived From Monitoring Power Generation and Water Supply Bores Hunter NOW 20150514 Derived From NSW Office of Water Groundwater Entitlements Spatial Locations Derived From HUN AWRA-L Stream Network v01

description: The USGS National Hydrography Dataset (NHD) service from The National Map (TNM) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000-scale maps and referred to as high resolution NHD, and the other based on 1:100,000-scale maps and referred to as medium resolution NHD. Additional selected areas in the United States are available based on larger scales, such as 1:5,000-scale or greater, and referred to as local resolution NHD. The NHD from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. For additional information on the NHD, go to https://nhd.usgs.gov/index.html. The Watershed Boundary Dataset (WBD) is a companion dataset to the NHD. It defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The drainage areas are nested within each other so that a large drainage area, such as the Upper Mississippi River, will be composed of multiple smaller drainage areas, such as the Wisconsin River. Each of these smaller areas can further be subdivided into smaller and smaller drainage areas. The WBD uses six different levels in this hierarchy, with the smallest averaging about 30,000 acres. The WBD is made up of polygons nested into six levels of data respectively defined by Regions, Subregions, Basins, Subbasins, Watersheds, and Subwatersheds. For additional information on the WBD, go to https://nhd.usgs.gov/wbd.html. The National Map hydrography data is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain NHD and WBD data in either Esri File or Personal Geodatabase, or Shapefile formats.; abstract: The USGS National Hydrography Dataset (NHD) service from The National Map (TNM) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000-scale maps and referred to as high resolution NHD, and the other based on 1:100,000-scale maps and referred to as medium resolution NHD. Additional selected areas in the United States are available based on larger scales, such as 1:5,000-scale or greater, and referred to as local resolution NHD. The NHD from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. For additional information on the NHD, go to https://nhd.usgs.gov/index.html. The Watershed Boundary Dataset (WBD) is a companion dataset to the NHD. It defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The drainage areas are nested within each other so that a large drainage area, such as the Upper Mississippi River, will be composed of multiple smaller drainage areas, such as the Wisconsin River. Each of these smaller areas can further be subdivided into smaller and smaller drainage areas. The WBD uses six different levels in this hierarchy, with the smallest averaging about 30,000 acres. The WBD is made up of polygons nested into six levels of data respectively defined by Regions, Subregions, Basins, Subbasins, Watersheds, and Subwatersheds. For additional information on the WBD, go to https://nhd.usgs.gov/wbd.html. The National Map hydrography data is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain NHD and WBD data in either Esri File or Personal Geodatabase, or Shapefile formats.

Abstract The 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 …Show full descriptionAbstract The 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. The dataset is a geodatabase containing various mapping layers relating to the Hunter groundwater model uncertainty analysis. This dataset contains the grids of assessment units for the 50th percentiles of drawdown for baseline, coal resource development pathway and additional coal resources development. Also included are point shapefiles attributed with the exceedence probabilities and the acceptance threshold for the groundwater level objective function for each model node as well as the locations of groundwater observations used in the uncertainty analysis. HUN_GW_Observation (feature class) - Groundwater observation locations were sourced from the dataset HUN_Bores_v01 and a distance matrix for each bore location calculated between all observation sites in the attribute table. That is, for each bore location the distance to all other bores has been calculated and added to the attribute table. HUN_GW_dmax_tmax_excprob (feature class) - The fraction of evaluated parameter combinations of the design of experiment that meets the groundwater level acceptance criterion (threshold). Dataset History The grids of assessment units of drawdowns for baseline, CRDP and ACRD scenarios were derived from the results of drawdown from HUN_GW_Uncertainty_Analysis at the model nodes for baseline, crdp and acrd for the 50th percentile. HUN_GW_Observation (feature class) - Groundwater observation locations were sourced from the dataset HUN_Bores_v01 and a distance matrix for each bore location calculated between all observation sites in the attribute table. That is, for each bore location the distance to all other bores has been calculated and added to the attribute table. HUN_GW_dmax_tmax_excprob (feature class) - The fraction of evaluated parameter combinations of the design of experiment that meets the groundwater level acceptance criterion (threshold). Dataset Citation Bioregional Assessment Programme (2016) HUN GW dmax tmax mapping layers v01. Bioregional Assessment Derived Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/176e3e2b-a9ab-40fc-a7de-6d78a3e3571e. Dataset Ancestors Derived From Camerons Gorge Grassy White Box Endangered Ecological Community (EEC) 2008 Derived From HUN GW Model code v01 Derived From NSW Office of Water - National Groundwater Information System 20140701 Derived From Travelling Stock Route Conservation Values Derived From HUN GW Model v01 Derived From NSW Wetlands Derived From Climate Change Corridors Coastal North East NSW Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From Climate Change Corridors for Nandewar and New England Tablelands Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Fauna Corridors for North East NSW Derived From R-scripts for uncertainty analysis v01 Derived From Asset database for the Hunter subregion on 27 August 2015 Derived From Birds Australia - Important Bird Areas (IBA) 2009 Derived From Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004 Derived From Bioregional Assessment areas v04 Derived From Hunter CMA GDEs (DRAFT DPI pre-release) Derived From HUN GW Uncertainty Analysis v01 Derived From Asset database for the Hunter subregion on 16 June 2015 Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129 Derived From Gippsland Project boundary Derived From Surface Geology of Australia, 1:1 000 000 scale, 2012 edition Derived From Asset database for the Hunter subregion on 24 February 2016 Derived From Natural Resource Management (NRM) Regions 2010 Derived From Asset database for the Hunter subregion on 12 February 2015 Derived From NSW Office of Water Surface Water Offtakes - Hunter v1 24102013 Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013 Derived From HUN groundwater flow rate time series v01 Derived From Asset list for Hunter - CURRENT Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013 Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) Derived From HUN GW Model simulate ua999 pawsey v01 Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From Ramsar Wetlands of Australia Derived From Native Vegetation Management (NVM) - Manage Benefits Derived From GEODATA TOPO 250K Series 3 Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From Geological Provinces - Full Extent Derived From HUN bores v01 Derived From NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516 Derived From GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514 Derived From Atlas of Living Australia NSW ALA Portal 20140613 Derived From Bioregional Assessment areas v03 Derived From Gosford Council Endangered Ecological Communities (Umina woodlands) EEC3906 Derived From Bioregional Assessment areas v05 Derived From Lower Hunter Spotted Gum Forest EEC 2010 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From Climate Change Corridors (Dry Habitat) for North East NSW Derived From Groundwater Entitlement Hunter NSW Office of Water 20150324 Derived From Asset database for the Hunter subregion on 20 July 2015 Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013 Derived From Commonwealth Heritage List Spatial Database (CHL) Derived From Australia World Heritage Areas Derived From Northern Rivers CMA GDEs (DRAFT DPI pre-release) Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014 Derived From Threatened migratory shorebird habitat mapping DECCW May 2006 Derived From Groundwater Economic Elements Hunter NSW 20150520 PersRem v02 Derived From NSW Office of Water - GW licence extract linked to spatial locations for North and South Sydney v2 20140228 Derived From HUN AssetList Database v1p2 20150128 Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases Derived From Climate Change Corridors (Moist Habitat) for North East NSW Derived From Operating Mines OZMIN Geoscience Australia 20150201 Derived From NSW Office of Water - National Groundwater Information System 20141101v02 Derived From Bioregional Assessment areas v06 Derived From Asset database for the Hunter subregion on 22 September 2015 Derived From Groundwater Economic Assets Hunter NSW 20150331 PersRem Derived From Australia - Species of National Environmental Significance Database Derived From Monitoring Power Generation and Water Supply Bores Hunter NOW 20150514 Derived From Bioregional Assessment areas v01 Derived From Bioregional Assessment areas v02 Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal Derived From HUN GW Model Mines raw data v01 Derived From NSW Office of Water Groundwater Entitlements Spatial Locations Derived From Victoria - Seamless Geology 2014 Derived From HUN Alluvium (1:1m Geology) Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release) Derived From Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015

Layer containing water supply main centrelines for other authorities (assets not owned by Melbourne Water). This layer is generated from data received from other Water Authorities (Barwon Water, Gippsland Water, DELWP and other). This layer supports Melbourne Water to reference the existence and indicative location of water supply mains and their likely inter-connectivity with Melbourne Water assets. This layer is intended to be used for reference purpose only. Relevant authorities would need to be contacted if the data is to be used other than for reference.
NOTE: Whilst every effort has been taken in collecting, validating and providing the attached data, Melbourne Water Corporation makes no representations or guarantees as to the accuracy or completeness of this data. Any person or group that uses this data does so at its own risk and should make their own assessment and investigations as to the suitability and/or application of the data. Melbourne Water Corporation shall not be liable in any way to any person or group for loss of any kind including damages, costs, interest, loss of profits or special loss or damage, arising from any use, error, inaccuracy, incompleteness or other defect in this data.

The purpose of this feature class is to illustrate the location of water pumps in public water systems in the Commonwealth of Kentucky as collected by Kentucky’s Area Development Districts and provided by the Kentucky Division of Water. The locations of water pumps, along with the basic attribute data concerning those features, are used by the Kentucky Infrastructure Authority, Area Development Districts, public water systems, and other state/local agencies for the purpose of water infrastructure planning and management, project development, asset inventories, capital improvement plans, data analysis, and for any other purpose that will improve the potable water infrastructure and service in the Commonwealth of Kentucky.

The Watershed Boundary Dataset (WBD) from The National Map (TNM) defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The drainage areas are nested within each other so that a large drainage area, such as the Upper Mississippi River, will be composed of multiple smaller drainage areas, such as the Wisconsin River. Each of these smaller areas can further be subdivided into smaller and smaller drainage areas. The WBD uses six different levels in this hierarchy, with the smallest averaging about 30,000 acres. The WBD is made up of polygons nested into six levels of data respectively defined by Regions, Subregions, Basins, Subbasins, Watersheds, and Subwatersheds. For additional information on the WBD, go to https://nhd.usgs.gov/wbd.html. The USGS National Hydrography Dataset (NHD) service is a companion dataset to the WBD. The NHD is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000-scale maps and referred to as high resolution NHD, and the other based on 1:100,000-scale maps and referred to as medium resolution NHD. Additional selected areas in the United States are available based on larger scales, such as 1:5,000-scale or greater, and referred to as local resolution NHD. For more information on the NHD, go to https://nhd.usgs.gov/index.html. Hydrography data from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. Hydrography data is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain WBD and NHD data in either Esri File or Personal Geodatabase, or Shapefile formats.

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This dataset (v1.5) supersedes the previous:- Asset database for the Gippsland basin bioregion on 9 June 2015 (GUID 9e64278d-789a-4363-98f5-a08660341008). It contains the Asset database (GIP_asset_database_20150615.mdb), a Geodatabase version for GIS mapping purposes (GIP_asset_database_20150615_GISOnly.gdb), a data dictionary (GIP_asset_database_doc_20150615.doc), and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process as outlined below. This version should be used for Materiality Test (M2) test.

The user needs to join the Table Assetlist or Elementlist to the spatial data.

Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. All reports received associated with the WAIT process for Gippsland are included in the zip file as part of this dataset. Elements are initially included in the preliminary assets database if they are partly or wholly within the bioregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Gippsland bioregion are found in the "AssetList" table of the database. In this version of the database only M1 has been assessed. Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "GIP_asset_database_doc_20150616.doc", located in the zip file as part of this dataset. The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset. Detailed information describing the database structure and content can be found in the document "GIP_asset_database_doc_20150616.doc" located in the zip file. Some of the source data used in the compilation of this dataset is restricted.

Purpose

The Asset List Database was developed to identify water dependent assets located within the Gippsland bioregion.

Dataset History

VersionID Date_ Notes

1 9/12/2014 Initial database.

1.2 30/01/2015 Database updated with elements and assets derived from additional source datasets: Economic_SW; VICADV_VulnFauna and Flora; Plantation Forests; Irrigation Districts; Inundation 100 year flood extent; Landscape Priority Areas (West); Farm Dam boundaries.

1.3 12/02/2015 AIDs updated for new assets (existing AID + 20000) to avoid duplication of AIDs used in databases for other subregions.

1.4 9/06/2015 "(1) Previous groundwater, surface water, GMA and WSPA assets (sources: VIC_DEPI_ECON_GW, Vic_Surfacewater Licences Economic Asset Data, ECON_GW_VIC_GMA and ECON_GW_VIC_WSPA respectively) were turned off (i.e. the field of InRegister in table AssetList has a value No). Theirs AIDs are from 16696 to 16706, 12006 to 12015 and 46598 to 46759.

(2) New groundwater, surface water, GMA and WSPA assets (sources: VIC_DEPI_ECON_GW_May2015, VIC_DEPI_ECON_SW_May2015, VIC_ECON_GW_GMA and VIC_ECON_WSPA) were added in

(3) New surface water polygon SDL data, which was also used to group surface water elements to assets, was added in. The new AIDs for (2) and (3) are from 46894 to 479081 inclusive

(4)One previous asset (AID: 12729) is duplicated to one asset in MBC (AID: 11636) . its AID, Asset Name, Group, SubGroup, Depth, Source, ListDate and Geometry is using values from that MBC asset.

(5) The name of one asset (AID: 15546) was changed because its previous name may be not for publication

(6) The databases, especially spatial database, were changed such as duplicated attributes fields in spatial data were removed and only ID field is kept."

1.5 "(1) Change title to Asset database for the Gippsland Basin bioregion on 16 June 2015 from subregion to bioregion

(2) Update new AIDs (from 46894 to 47081 inclusive) on09/06/2015 to new AIDs (66894 to 67081inclusive): new [AID]=Previous [AID]+20000"

The source metadata was updated to meet the purpose of the Bioregional Assessment Programme.

Dataset Citation

Bioregional Assessment Programme (2015) Asset database for the Gippsland Basin bioregion on 16 June 2015. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/178b98b7-3107-4cbf-b7ea-fc648c6f5870.

Dataset Ancestors

• Derived From GIP AssetList Database v1.2 20150130

• Derived From Flood Extent 100 year extent West Gippsland Catchment Management Authority GIP v140701

• Derived From Surface Water Economic Entitlements GIP 20141219

• Derived From West Gippsland Regional Catchment Strategy Landscape Priorities WGCMA GIP 20121205

• Derived From Irrigation District Department of Environment and Primary Industries GIP

• Derived From Asset database for the Gippsland Basin bioregion on 12 February 2015

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

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From Victorian Water Supply Protection Areas

• Derived From Sustainable Diversion Limits Surface Water Vic DEPI 20150313

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

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

• Derived From Southern Rural Water SW Locations with BOM Regulations Category 6 Volumes Gippsland 20150430

• Derived From Gippsland Project boundary

• Derived From Victorian Groundwater Management Areas

• Derived From Plantation Forests Public Land Management(PLM25) DEPI GIP 201410

• Derived From Surface Water Economic Assets Gippsland 20150430v02

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

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

• Derived From Surface Water Entitlement Locations Gippsland Southern Rural Water 20141218

• Derived From Ramsar Wetlands of Australia

• Derived From National Groundwater Information System Victorian Extract (2014-03-21)

• Derived From GEODATA TOPO 250K Series 3

• Derived From Groundwater Licences Entitlement Volume To Bores Vic DEPI 20141021

• Derived From Groundwater Economic Elements Gippsland 20141120

• Derived From Commonwealth Heritage List Spatial Database (CHL)

• Derived From Potential Groundwater Dependent Ecosystems for West Gippsland Catchment Management Authority

• Derived From Victorian Biodiversity Atlas flora - 1 minute grid summary

• Derived From Unreg surface water licences DELWP Gippsland 20150301

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From [Gippsland Basin bioregion Asset List v01 -

Snapshot img

GIS In Utility Industry Market Size 2025-2029

The gis in utility industry market size is forecast to increase by USD 3.55 billion, at a CAGR of 19.8% between 2024 and 2029.

The utility industry's growing adoption of Geographic Information Systems (GIS) is driven by the increasing need for efficient and effective infrastructure management. GIS solutions enable utility companies to visualize, analyze, and manage their assets and networks more effectively, leading to improved operational efficiency and customer service. A notable trend in this market is the expanding application of GIS for water management, as utilities seek to optimize water distribution and reduce non-revenue water losses. However, the utility GIS market faces challenges from open-source GIS software, which can offer cost-effective alternatives to proprietary solutions. These open-source options may limit the functionality and support available to users, necessitating careful consideration when choosing a GIS solution. To capitalize on market opportunities and navigate these challenges, utility companies must assess their specific needs and evaluate the trade-offs between cost, functionality, and support when selecting a GIS provider. Effective strategic planning and operational execution will be crucial for success in this dynamic market.

What will be the Size of the GIS In Utility Industry Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe Global Utilities Industry Market for Geographic Information Systems (GIS) continues to evolve, driven by the increasing demand for advanced data management and analysis solutions. GIS services play a crucial role in utility infrastructure management, enabling asset management, data integration, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage management, and spatial analysis. These applications are not static but rather continuously unfolding, with new patterns emerging in areas such as energy efficiency, smart grid technologies, renewable energy integration, network optimization, and transmission lines. Spatial statistics, data privacy, geospatial databases, and remote sensing are integral components of this evolving landscape, ensuring the effective management of utility infrastructure. Moreover, the adoption of mobile GIS, infrastructure planning, customer service, asset lifecycle management, metering systems, regulatory compliance, GIS data management, route planning, environmental impact assessment, mapping software, GIS consulting, GIS training, smart metering, workforce management, location intelligence, aerial imagery, construction management, data visualization, operations and maintenance, GIS implementation, and IoT sensors is transforming the industry. The integration of these technologies and services facilitates efficient utility infrastructure management, enhancing network performance, improving customer service, and ensuring regulatory compliance. The ongoing evolution of the utilities industry market for GIS reflects the dynamic nature of the sector, with continuous innovation and adaptation to meet the changing needs of utility providers and consumers.

How is this GIS In Utility Industry Industry segmented?

The gis in utility industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductSoftwareDataServicesDeploymentOn-premisesCloudGeographyNorth AmericaUSCanadaEuropeFranceGermanyRussiaMiddle East and AfricaUAEAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW).

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.In the utility industry, Geographic Information Systems (GIS) play a pivotal role in optimizing operations and managing infrastructure. Utilities, including electricity, gas, water, and telecommunications providers, utilize GIS software for asset management, infrastructure planning, network performance monitoring, and informed decision-making. The GIS software segment in the utility industry encompasses various solutions, starting with fundamental GIS software that manages and analyzes geographical data. Additionally, utility companies leverage specialized software for field data collection, energy efficiency, smart grid technologies, distribution grid design, renewable energy integration, network optimization, transmission lines, spatial statistics, data privacy, geospatial databases, GIS services, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage ma