NSW Positioning Theme Survey Mark GDA94 multiCRS
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Export Data Access API NSW Positioning Theme Survey Mark GDA94 multiCRS MultiCRS service - supporting requests in multiple Coordinate Reference Systems - Information Sheet Note: GDA94 coordinates for NSW survey marks are no longer maintained. This data has been superseded by NSW Positioning Theme Survey Mark GDA2020 multiCRS or NSW Positioning Theme - Survey Mark GDA2020 A new series of ‘multiCRS’ web services have been published to support GDA2020. These new ‘multiCRS’ services: · have a spatial reference of GDA2020 · support alignment with GDA2020, GDA94 or [WGS 84-aligned-to-GDA2020] GIS environments,using built-in server-side transformations: o GDA94 < NTv2-CPD > GDA2020 o GDA94 < NTv2-CPD > WGS 84 aligned to GDA2020 o GDA2020 < NULL > WGS 84 aligned to GDA2020 Note: ESRI software will automatically align by transforming from the sourceSpatialReference (GDA94). Other software may need to set client-side transformations from the SpatialReference (GDA2020). Note: Client-side transformation(s) can be used to over-ride these default transformations.The original [WGS 84-aligned-to-GDA2020] is still available, without the ‘multiCRS’ suffix. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt this new 'multiCRS' functionality.Please note that SCIMS Online is the official option for obtaining state control survey data for cadastral surveys as it offers legal traceability. SCIMS online is accessible via the Spatial portal. Metadata Portal Metadata Information Content TitleNSW Positioning Theme Survey Mark GDA94 multiCRSContent TypeHosted Feature LayerDescriptionThis service provides GDA94 coordinates, heights and related information for NSW survey marks that form the official State control survey network (as reported in SCIMS). This service controls the precision of numerical output in a manner that mirrors SCIMS Online available through the Spatial Services Portal.The web service provides a wealth of data on each mark, including:mark type (Permanent Mark, State Survey Mark, etc.) mark number horizontal coordinates and their accuracy (class and order) heights and their accuracy (class and order) status of the mark (destroyed, restricted access, etc.) The mark type is represented using various shapes and the accuracy of the mark (both vertical and horizontal) is communicated by the colour. This web service allows users to easily integrate survey control mark data from SCIMS into Open Geospatial Consortium (OGC) compliant spatial platforms and applications. Data provided by the NSW Survey Mark web service can be used in a variety of engineering and surveying applications, including but not limited to: cadastral survey planning flood studies and hydrographic modelling infrastructure developmentsite calibration at construction sites elevation modelling preservation of survey infrastructure.The NSW Survey Mark web service gives users an alternative method to access state control survey data that can be incorporated into their GIS package without needing to log into SCIMS Online.Please note that SCIMS Online is the official option for obtaining state control survey data for cadastral surveys as it offers legal traceability. SCIMS online is accessible via the Spatial portal.Initial Publication Date01/07/2019Data Currency01/01/3000Data Update FrequencyDailyContent SourceData provider filesFile TypeESRI File Geodatabase (*.gdb)Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.auData Theme, Classification or Relationship to other DatasetsNSW Positioning Theme of the Foundation Spatial Data Framework (FSDF)NSW Elevation and Depth Theme of the Foundation Spatial Data Framework (FSDF)AccuracyThis dataset depicts the location of survey marks based on their GDA94 coordinates. Official GDA94 coordinates have not been updated since 01/07/2019. For accurate data please
NSW Land Parcel Property Theme - Property
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Export Data Access API NSW Land Parcel and Property Theme - Property 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 functionality.Metadata Portal Metadata InformationContent TitleNSW Land Parcel Property Theme - PropertyContent TypeHosted Feature LayerDescriptionNSW Land Parcel and Property Theme Property data is a polygon feature class that spatially represents an aspatial property description as provided by Property NSW in their Valnet database.Properties are divided into three categories:Property (complete)IncompleteOtherProperty is used to spatially locate the property as defined by Property NSW in their Valnet database. A property contains all address features related to it.All Property information held in the database is accurate as at time of capture and processes are in place to continuously update data as new information is obtained.Initial Publication Date9/02/2020Data Currency01/01/3000Data Update FrequencyDailyContent SourceData provider filesFile TypeESRI File Geodatabase (*.gdb)Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.au.Data Theme, Classification or Relationship to other DatasetsNSW Property and Land Parcels Theme of the Foundation Spatial Data Framework (FSDF)AccuracyThe 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 to upgrade the spatial location and accuracy of data is ongoing.Spatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:3857WGS84 Equivalent ToGDA94Spatial ExtentFull StateContent LineageFor additional information, please contact us via the Spatial Services Customer HubData ClassificationUnclassifiedData Access PolicyOpenData QualityFor additional information, please contact us via the Spatial Services Customer HubTerms and ConditionsCreative CommonsStandard and SpecificationOpen 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.Data CustodianDCS Spatial Services346 Panorama AveBathurst NSW 2795Point of ContactPlease contact us via the Spatial Services Customer HubData AggregatorDCS Spatial Services346 Panorama AveBathurst NSW 2795Data DistributorDCS Spatial Services346 Panorama AveBathurst NSW 2795Additional Supporting InformationData DictionariesTRIM Number
Global Positioning System Survey data from 2015, Coachella Valley, Riverside County, California
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Data collection: GPS measurements were taken at 24 geodetic monuments during September 27-October 2, 2015. The GPS surveys generally followed established guidelines (Zilkoski and others, 1997), except that the data were processed with single-baseline, rather than multi-baseline, software. GPS measurements were recorded at the monuments on at least 2 different days during 1-hour observation periods. Of the 24 geodetic monuments, 7 were network control stations—DUNE, COCH, DEEP, CAHU, PAIN, C101, and G70; GPS measurements were recorded at these seven stations on 3 additional days during 6.5-hour (or longer) observation periods. Data results: Determining the ellipsoid heights of the 24 geodetic monuments in the network involved 2 phases of least-squares adjustments. During the first phase of least-squares adjustments, horizontal coordinates and ellipsoid heights of the seven Coachella Valley network control monuments were determined by processing the GPS measurements taken at these monuments with simultaneous measurements at three continuous Global Positioning System (CGPS) stations (DHLG, PIN1, and WIDC) and by using precise satellite orbital data and accurate coordinates of the CGPS stations provided by the International GPS Service (IGS) and Scripps Orbit and Permanent Array Center (SOPAC), respectively. During the second phase of least-squares adjustments, the 7 network control monuments were fixed at the positions determined during the first phase, and the horizontal coordinates and ellipsoid heights for the other 17 monuments were calculated. The expected uncertainty of the ellipsoid heights was ±20 mm (±0.07 ft) at the 95-percent confidence level, which was determined using the maximum ellipsoid-height difference computed from 95 percent of the repeatedly observed baselines used in the adjustment. Software used for the baseline and least-squares adjustment computations for the 2015 survey was Trimble Business Center 2.81. Zilkoski, D.B., D’Onofrio, J.D., and Frakes, S.J., 1997, Guidelines for establishing GPS-derived ellipsoid heights, (Standards: 2 cm and 5 cm) version 4.3: Silver Spring, Md., National Geodetic Survey, 10 p., 3 appendices.
통계청 SGIS 지역변화분석지도 데이터마트
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[SGIS 오픈 플랫폼] "지역변화분석지도" 서비스의 데이터마트 정보를 담고 있습니다.데이터출처,기준년도,경계고정유무,지도년도,데이터명,행정동명을 포함합니다.[용어설명]1. 지리정보시스템 [GIS,Geographic Information System]지리공간데이터(geographic or geospatial data)를 기반으로 유용한 정보를 생성하는 정보시스템2. 통계지리정보시스템/서비스 [SGIS,Statistical Geographic Information System]통계청이 보유한 인구·가구·주택·사업체 등의 센서스데이터와 공공 및 민간 자료와 연계∙융합할 수 있는 위치기반 개방형 서비스 플랫폼3. 지역변화분석지도KOSIS 및 SGIS 각종 콘텐츠에서 제공하는 다양한 통계정보, 통계지리정보를 사용자가 선택한 시군구 단위로 직관성 있게 제공하는 서비스
통계청 SGIS 통계주제도 상권별부동산데이터카테고리
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[SGIS 오픈 플랫폼] "통계주제도" 서비스의 상권별부동산데이터카테고리 정보를 담고 있습니다.주기명,상권명,건물유형,통계항목을 포함합니다.[용어설명]1. 지리정보시스템 [GIS,Geographic Information System]지리공간데이터(geographic or geospatial data)를 기반으로 유용한 정보를 생성하는 정보시스템2. 통계지리정보시스템/서비스 [SGIS,Statistical Geographic Information System]통계청이 보유한 인구·가구·주택·사업체 등의 센서스데이터와 공공 및 민간 자료와 연계∙융합할 수 있는 위치기반 개방형 서비스 플랫폼3. 통계주제도사회적 이슈 및 트렌드를 반영한 통계와 관련하여 주요 주제에 따른 관심사별 통계정보를 손쉽게 확인할 수 있는 서비스
NSW Elevation and Depth Theme
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Export Data Access API Access 5m DEM Service Access NSW Elevation Service Access ELVIS Platform NSW Elevation and Depth Theme Please NoteWGS 84 service aligned to GDA94This 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' functionality. Metadata Portal Metadata InformationContent TitleNSW Elevation and Depth ThemeContent TypeHosted Feature LayerDescriptionElevation and Depth is the measurement of the Earth’s surface above or below a vertical datum to obtain the height of the land. Data is collected using a range of sensors including: laser, sonar, radar and optical.Technical methodologies are used to derive spot heights, raster surfaces, contours, triangulated irregular networks and digital elevation models.Datasets that form the Elevation and Depth theme include: Historical Contours (2m Urban, 10m and 20m)Current 2m Contours (State wide)Spot HeightsRelative HeightsPoint cloud (LiDAR and Photogrammetrically derived) (available for download from Geoscience Australia ELVIS Platform)Digital Elevation Model (available for download from Geoscience Australia ELVIS Platform) Elevation Data Sets available from additional services.ELVIS – Elevation and DepthPoint Clouds - The point cloud data set consists of point clouds captured from LiDAR (Light Detection and Ranging) and derived from airborne imagery using photogrammetric techniques. Spatial Services Point Cloud data is available for on demand download from Geoscience Australia ELVIS Platform. Digital Elevation Models - Digital Elevation Models (DEM) are derived from Spatial Services’ (SS) point cloud data. The DEM is a bare earth representation of the earth’s surface where all the above ground feature has been removed.Spatial Services have a number of different Digital Elevation Models Digital Elevation Model derived from LiDAR - Are 1m or 2m resolution and is not hydrologically enforced(breaklines) or hydrologically conditioned (identification and analysis of sinks).Digital Elevation Model derived Photogrammetry - Data is 5m resolution. Areas of no data caused by steep slopes, shadow and vegetation have been interpolated or filled-in with another data source and will not be as accurate as the bare open ground areas. The data is not hydrologically enforced (breaklines) or hydrologically conditioned (identification and analysis of sinks).Spatial Services Digital Elevation Model data is available for on demand download from. Geoscience Australia ELVIS Platform as 2km x 2km tiles. You can also access the 5 Metre Digital Elevation Model Service in the Collaboration Portal.Elevation and Depth provides an accurate representation of the Earth’s surface enabling evidence-based decision making, 3D modelling, planning and earth surface representation.Elevation and Depth underpins:Safe hydrographicAeronautical and road navigationClimate science, including climate change adaptationEmergency management and natural hazard risk assessmentEnvironmental, including water managementEngineering projects and infrastructure developmentDefinition of maritime and administrative boundariesNatural resource exploration.Update frequencies vary for each dataset. Individual current status can be found under each Spatial data profile. The objective is to maintain elevation datasets to meet the FDSI requirements of key data users.Current programs include:Aerial LiDAR capture program across NSW.DEM and Point Cloud generation from photogrammetric techniques.Longer term programs include:Update of contour data using updated DEM data generated from LiDAR and Photogrammetry.Hydrological enforcement using improved surface models.Initial Publication Date05/04/2020Data Currency01/01/3000Data