Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Maintaining accurate data is a concern of all GIS users. The geodatabase offers you the ability to create geographic features that represent the real world. As the real world changes, you must update these features and their attributes. When creating or updating data, you can add behavior to your features and other objects to minimize the potential for errors.After completing this course, you will be able to:Define the two types of attribute domains and discuss how they differ.Create attribute domains and use them when editing data.Create subtypes and use them when editing data.Explain the difference between an attribute domain and a subtype.
Facebook
Twitterhttps://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdfhttps://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdf
This dataset shows the Precambrian Domains for the Province of Saskatchewan. Mapping in support of the dataset includes years of field observations which were then compiled and integrated into this dataset. The data was created as a file geodatabase feature class and output for public distribution.
**Please Note – All published Saskatchewan Geological Survey datasets,
including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.
Facebook
TwitterThe boundary dataset covers the model domain of the C2VSimFG. The total area of the model domain is 20,742 square miles. It contains 32,537 elements, which make up the model grid of the C2VSimFG. The boundary includes three hydrologic regions: Sacramento Region, San Joaquin River Region and the Tulare Lake Region, which have distinctively, different hydrologic and geologic settings. The model boundary is based on the Bulletin 118 - 2003 basin boundaries generalized for the model node spacing.
Facebook
TwitterThe Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014; Bock and others, 2020) is a dataset of hydrographic features and spatial data designed for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Hawaii, and most major river basins that flow in from Canada. This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related spatial datasets created to expand the National Hydrologic Model to Alaska. This child item contains data and information related to the GIS features of the Geospatial Fabric for National Hydrologic Model, Alaska domain. Two Open Geospatial Consortium geopackages are provided: one containing source layers that have had some pre-processing done from their native data formats (Reference_19.gpkg), and one (NHM_19.gpkg) containing 4 final feature layers for the NHM: points of interest (pois), a stream network (nsegment), aggregated catchments (catchments), and hydrologic response units (nhru). Features were derived from the MERRIT Hydro Global Hydrography Dataset.
Facebook
TwitterThis operation view contains services with shipping, maritime boundaries, and weather information for the west coast of the United States. The services in this web map are powered by ArcGIS GeoEvent Extension for Server and contain alerts for ships in certain boundaries, such as nature preserves, or inclement weather.Some of the widgets contained in this operation view are lists that sort the most important data such as those in geofences and those reporting with hazardous cargo. Data contained in this operation view includes:Maritime Boundaries and Port Information:Maritime Boundaries - Various maritime boundaries information provided by the National Oceanic and Atmospheric Administration (NOAAShipping Information:Proximity Alert - Generated buffer information created from an ArcGIS for GeoEvent Extension for Server processor of military vessels.Ship Position- Simulated shipping information obtained from the US Coast Guard (USCG).Weather Information:Meteorological Service of Environment Canada - Web map service with forecast, analysis, and observation layersforunderstanding current meteorological or oceanographic data.NOAA Lightning Strike Density - Time-enabled map service providing maps of experimental lightning strike density data.NOAA Weather Observations - Time-enabled map service providing map depicting the latest surface weather and marine weather observations.NOAA Weather Radar Mosaic - Time-enabled map service providing maps depicting mosaics of base reflectivity images across the United States.NOAA Weather Satellite Information - Time-enabled map service providing maps depicting visible, infrared, and water vapor imagery.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Locations of NEON Domain Support Facilities.
Facebook
TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The Geospatial Fabric is a dataset of spatial modeling units for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Alaska, and most major river basins that flow in from Canada. This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related datasets created to expand the National Hydrologic Model to Hawaii. This page contains data and information related to the GIS features of the Geospaital Fabric for National Hydrologic Model, Hawaii domain. An Open Geospatial Consortium geopackage (GF_20.gpkg) contains 4 feature layers (layer names in parentheses): points of interest (poi), a stream network (nsegment), aggregated catchments (catchment), and hydrologic repsonse units (nhru). Features were derived from NHDPlus, version 2.0, and several hydroclimatic datasets representing domain-specific processes and key drainage basins within the Hawaii. All data cover the National Hydrologic Model's (NHM) ...
Facebook
Twitterhttps://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdfhttps://gisappl.saskatchewan.ca/Html5Ext/Resources/GOS_Standard_Unrestricted_Use_Data_Licence_v2.0.pdf
This dataset represents the interpreted Magnetic Domains of the Province of Saskatchewan. Regions of like magnetic intensity and/or structural texture have been interpreted from new aeromagnetic data collected for the Athabasca Basin and surrounding environs. Interpretations were made using a variety of presentations of the primary data including total magnetic intensity (TMI), 1st vertical derivative of TMI, horizontal derivative of TMI, automatic gain control of TMI and tilt derivative. Where possible, the interpreted domains extend the aeromagnetic response from older rocks that flank the basin beneath rocks of the Athabasca Group. The data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.
Facebook
Twitterhttp://open.alberta.ca/licencehttp://open.alberta.ca/licence
The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 4 of the Atlas, Potential Fields and Basement Structure - Western Canada Sedimentary Basin, Figure 1, Tectonic domains for the basement of the WCSB. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Address Points (Secondary) is a Point FeatureClass representing secondary address points in the City of Cupertino. Secondary address points contain data for suites, units, apartments, etc. It is primarily used as a reference layer. The layer is updated as needed by the GIS Department. Address Points (Secondary) has the following fields: It is primarily used as a reference layer. The layer is updated as needed by the GIS division. Address Points (Secondary) has the following fields:
OBJECTID: Unique identifier automatically generated by Esri type: OID, length: 4, domain: none
APN: The Assessor's Parcel Number where the secondary address point is located type: String, length: 10, domain: none
Location: Further description of the location type: String, length: 36, domain: none
Address: The address of the feature type: String, length: 56, domain: none
House Number: The house number associated with the address type: String, length: 11, domain: none
Street Prefix: Prefix for the street nametype: String, length: 7, domain: AddressPrefix domain values:['S', 'E', 'W', 'N']
Street Name: Name of the street on which the address point is located type: String, length: 23, domain: none
Street Suffix: The suffix for the street name type: String, length: 7, domain: AddressSuffix domain values:['CMN', 'EXPY', 'LN', 'SQ', 'PLZ', 'PKWY', 'RD', 'CIR', 'LOOP', 'WAY', 'BLVD', 'AVE', 'TER', 'ST', 'DR', 'PL', 'CT']
Street Suffix Direction: The suffix for the direction of the street name type: String, length: 11, domain: AddressPrefix domain values:['S', 'E', 'W', 'N']
Unit Number: The unit number associated with the secondary address point type: String, length: 8, domain: none
City: The city in which the address is located type: String, length: 11, domain: AddressCity domain values:[]
State: The State in which the feature is located type: String, length: 7, domain: none
Comments: Any relevant comments relating to the feature type: String, length: 50, domain: none
Zip: The zip code associated with the feature type: String, length: 10, domain: none
Last Update: The date the database row was last updated type: Date, length: 8, domain: none
X: The X coordinate of the secondary address point type: Double, length: 8, domain: none
Y: The Y coordinate of the secondary address point type: Double, length: 8, domain: none
Floor: Floor number associated with the secondary address point type: SmallInteger, length: 2, domain: Floor domain values:['1', '2', '3', '4', '5', '6', '7', '8', '9', '10']
SHAPE: Field that stores geographic coordinates associated with feature type: Geometry, length: 4, domain: none
GlobalID: Unique identifier automatically generated for features in enterprise database type: GlobalID, length: 38, domain: none
AssetID: Cupertino maintained GIS primary key type: String, length: 50, domain: none
PlaceType: The use type of the facility at the address point type: String, length: 50, domain: AddressPlaceType domain values:['Educational', 'Transportation', 'Business', 'Government', 'Hospital', 'Recreational', 'Miscellaneous', 'Residential Single Family', 'Residential Multi Family']
Unit Type: The type of unit found at the secondary address point type: String, length: 5, domain: UNITS domain values:['STE', 'ELEC', 'VILLA', 'BLDG', 'APT', 'UNIT']
last_edited_date:
The date the database row was last updated type: Date, length: 8, domain: none
created_date:
The date the database row was initially created type: Date, length: 8, domain: none
Facebook
TwitterThese photographs inadvertently capture the largely working class neighbourhoods and people being displaced by commercial and government redevelopment.This dataset contains the title, location and more information on each historical photo.
Facebook
TwitterAs part of the NSTA’s published 2018/19 Activity Plan, the NSTA is publishing a set of regional geological maps for the Engish Channel area of the UKCS. These maps represent the fifth set of deliverables from a 3 year contract with Lloyd’s Register (LR) to produce a series of maps and associated databases for the whole of the UKCS.All data released with this set of geological maps is public domain data. The project has, however, benefited from a number of additional third party data sources which have been used to help inform final maps and/or derive interpreted products. These include the seismic interpretation work carried out by Heriot-Watt University (Rachel Brackenridge), the 21CXRM Palaeozoic project (which is now available in the public domain), CGG’s Target database and relevant products available via the BGS’s Offshore Geoindex. CDA is also kindly acknowledged for their support in downloading and providing much of the released well data to LR as part of this project.Due to the high level, regional nature of the project, the maps are being produced for the main geological time intervals e.g. Paleocene, Lower Cretaceous, Upper Jurassic. Each time interval includes the following products:• Depth structure maps• Isochore maps• Subcrop & supercrop maps• Structural elements maps• Depositional facies maps• Reservoir distribution maps• Source rock maps• Well penetration maps• Hydrocarbon occurrence maps
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sydney DCP 2012 required setbacks for new buildings from the public domain.
Facebook
TwitterAs part of the NSTA's published 2018/19 Activity Plan, the NSTA is publishing a set of regional geological maps for the Northern North Sea and East Shetland Platform. These maps represent the third set of deliverables from a 3 year contract with Lloyd's Register (LR) to produce a series of maps and associated databases for the whole of the UKCS. The first set of maps was released in July 2017 and comprised the Central North Sea and Moray Firth. The second set of maps was released in November 2017 and comprised the Southern North Sea.All data released with this set of geological maps is public domain data. The project has, however, benefited from a number of additional third party data sources which have been used to help inform final maps and/or derive interpreted products. These include the 21CXRM Palaeozoic project (which is now available in the public domain), PGS's North Sea Digital Atlas and East Shetland Platform Seismic interpretation project, Frogtech's East Shetland Platform Project, IGI's Source Rock Evaluation for the East Shetland Platform, CGG's Target database and relevant products available via the BGS’s Offshore Geoindex. TGS are gratefully acknowledged for providing joined digital log data from LogLinePlus to enable the production of lithology curves. TGS and BGS are acknowledged for providing additional seismic data to help carry out the project and CDA are also kindly acknowledged for their support in downloading and providing much of the released well data to LR as part of this project.Due to the high level, regional nature of the project, the maps are being produced for the main geological time intervals e.g. Paleocene, Lower Cretaceous, Upper Jurassic. Each time interval includes the following products:Depth structure mapsIsochore mapsSubcrop & supercrop mapsStructural elements mapsDepositional facies mapsReservoir distribution mapsSource rock mapsWell penetration mapsHydrocarbon occurrence maps
Facebook
TwitterOne foot contours developed from Delta LIDAR. LIDAR was developed under a contract between California DWR and URS Corporation (DRMS contract), with Fugro EarthData as lead LIDAR survey contractor. Flights were conducted in 2007 with 9% reflown in 2008. Final products delivered to DWR in 2009. Survey points of accuracy theoretically capable of supporting 1 foot contours. Using processed bare earth point data, Fugro EarthData generated/supplied these contours in raw and smoothed format, and the feature class here are smoothed contours. These data are public domain. Additional information can be obtained from California DWR.
Facebook
TwitterWeb map is an open service to external end users (public domain) and is to establish application from ArcGIS Experience Builder.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The National Network Design Committee, in collaboration with the National Science Foundation, developed NEON’s ecoclimatic domain approach to strategically determine site locations representative of ecological and climatological conditions. NEON statistically partitioned the continental US, Hawaii and Puerto Rico into 20 eco-climatic domains that represent distinct regions of vegetation, landforms and ecosystem dynamics to capture the full range of US ecological and climatic diversity.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Striping is a Polyline FeatureClass representing the lines on the pavement as detailed by CalTrans. It is primarily used as an inventory layer in Cityworks. The layer is updated as needed by the Public Works Department and QA/QC'd quarterly by the GIS Division. Striping has the following fields:
OBJECTID: Unique identifier automatically generated by Esri type: OID, length: 4, domain: none
AssetID: Cupertino maintained GIS primary key type: String, length: 50, domain: none
Location: Further description of the location type: String, length: 50, domain: none
Status: The active or construction status of the asset in the field type: String, length: 20, domain: pwStatus domain values:['Abandoned', 'Proposed', 'Auction', 'Denied', 'Active', 'Removed', 'Not Connected']
OwnedBy: Organization which owns the asset type: String, length: 50, domain: shdOwnedBy domain values:['Cupertino', 'San Jose Water', 'CalTrans', 'PGE', 'Los Altos', 'Santa Clara', 'Private HOA', 'Saratoga', 'Other Public', 'Santa Clara County', 'San Jose', 'Santa Clara Valley Water District', 'Private', 'California Water Service', 'State Parks', 'Sunnyvale', 'Cupertino Sanitary District', 'CWA']
MaintainedBy: Organization who is responsible for maintenance of asset type: String, length: 50, domain: shdOwnedBy domain values:['Cupertino', 'San Jose Water', 'CalTrans', 'PGE', 'Los Altos', 'Santa Clara', 'Private HOA', 'Saratoga', 'Other Public', 'Santa Clara County', 'San Jose', 'Santa Clara Valley Water District', 'Private', 'California Water Service', 'State Parks', 'Sunnyvale', 'Cupertino Sanitary District', 'CWA']
CreateDate: The date the database row was initially created type: Date, length: 8, domain: none
UpdateDate: The date the database row was last updated type: Date, length: 8, domain: none
Material: Material of the stripping type: String, length: 30, domain: trafMarkingMaterial domain values:['Extruded ThermalPlastic', 'Surface Coating', 'Paint', 'Preform ThermalPlastic', 'Tape', 'RPM']
IsModified:
type: String, length: 4, domain: shdBooleanYesNo domain values:['Yes', 'No']
CalTransDetail: Field containing the Caltrans code for the striping type: String, length: 30, domain: trafStripCalTran domain values:['30', '41A', 'Green Bike Lane', 'Detail (D) YL2R', '21(D)', '39A', '24', '25', '38B', '38C', '21', '22', '23', '28', '29', '40', '41', '1', '2', '22(D)', '4', '7', '6', '9', '5', '40A', '38A', '39', '27B', 'Intersection Green Bike Lane', '27C', '8', '38', 'Detail (D) WT1R', '8-20 City Standard', '11', '10', '13', '12', '15', '14', '16', '19', '32', '31', '25A', '33']
Shape: Field that stores geographic coordinates associated with feature type: Geometry, length: 4, domain: none
GlobalID: Unique identifier automatically generated for features in enterprise database type: GlobalID, length: 38, domain: none
RPMInstallDate:
type: Date, length: 8, domain: none
StrippingInstallDate: The date the striping was installed type: Date, length: 8, domain: none
Color: Color associated with the striping type: String, length: 50, domain: shdColor domain values:['Blue', 'White', 'Green', 'Yellow', 'Red']
NumberofReflectors: The number of reflectors along the striping segment type: SmallInteger, length: 2, domain: trafStripNumofReflectors domain values:['1', '2']
InstallDate: The date the striping was installed type: Date, length: 8, domain: none
Rotation: Field used for assigning rotation degree in Maplex Labeling Engine type: Double, length: 8, domain: none
RefreshDate: The date the data was refreshed type: Date, length: 8, domain: none
StripingWidth: The width of the striping type: SmallInteger, length: 2, domain: utilWireSize domain values:['8', '4', '6']
Shape.STLength(): The length of the shape - in feet type: Double, length: 0, domain: none
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Parcels is a Polygon FeatureClass representing land parcels around the City of Cupertino. Coverage includes the following subclasses: parcel polygon, parcel arcs, apn, address, street name inside of rights-of-way, street name outside of rights-of-way It is primarily used as a reference layer. The layer is reconciled with Santa Clara County Land Parcel data annually around Aug (downloaded from https://www.sccgov.org/sites/gis/GISData/Pages/Available-GIS-Data.aspx). Parcels has the following fields:
OBJECTID: Unique identifier automatically generated by Esri type: OID, length: 4, domain: none
APN_SPACE: The Assessor's Parcel Number type: String, length: 12, domain: none
CITY: The city in which the parcel is located type: String, length: 10, domain: none
COMMENTS: Any relevant comments relating to the feature type: String, length: 60, domain: none
UpdateDate: The date the database row was last updated type: Date, length: 8, domain: none
CreateDate: The date the database row was initially created type: Date, length: 8, domain: none DataSource
The methodology used to digitize the data type: string, length: 100, domain: DataSource
domain values:['Approximated Historical Source', 'Cogo from Plans', 'Digitized Landbase as Reference', 'Digitized Ortho as Reference', 'Digitized Plan as Reference', 'GPS SubMeter', 'GPS SubFoot', "iStreetView', 'Need Verification', 'Unknown Source', 'Legacy WO System', 'Field Verified']
X: The X coordinate of the parcel type: Double, length: 8, domain: none
Y: The Y coordinate of the parcel type: Double, length: 8, domain: none
UseCode: The land use code associated with the parcel type: SmallInteger, length: 2, domain: LandUseCodes
IsLeased: Field indicating whether the parcel is leased type: String, length: 3, domain: shdBooleanYesNo domain values:['Yes', 'No']
Shape: Field that stores geographic coordinates associated with feature type: Geometry, length: 4, domain: nonehasADUField that denotes if the property has an associated accessory dwelling unit type: String, length: 3, domain: shdBooleanYesNodomain values:['Yes', 'No']
FlagLot:
type: String, length: 255, domain: shdBooleanYesNo domain values:['Yes', 'No']hasResidential:Field indicating whether the parcel is residentialtype: String, length: 3, domain: shdBooleanYesNodomain values:['Yes', 'No'] Shape.STArea():
The area of the shape - in square feet type: Double, length: 0, domain: none
Shape.STLength():
The length of the shape - in feet type: Double, length: 0, domain: none
Facebook
TwitterBaileys Ecoregions - Subregions by DomainThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Forest Service (USFS), displays ecosystems by domains in the United States, Puerto Rico and the U.S. Virgin Islands. Per the USFS, "the largest ecosystems are domains, which are groups of related climates and which are differentiated based on precipitation and temperature".Humid Temperate Domain & Humid Tropical DomainData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Bailey's Ecoregions by Domain) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Bailey's Ecoregions and Subregions DatasetGeoplatform: Bailey's Ecoregions and Subregions DatasetOGC API Features Link: (Baileys Ecoregions - Subregions by Domain - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: Description of the Ecoregions of the United States For feedback please contact: Esri_US_Federal_Data@esri.comThumbnail image courtesy of: Bureau of Land ManagementNGDA Data SetThis data set is part of the NGDA Biodiversity Theme Community. Per the Federal Geospatial Data Committee (FGDC), Biodiversity is defined as pertaining to, or describing, "the dynamic processes, interactions, distributions, and relationships between and among organisms and their environments".For other NGDA Content: Esri Federal Datasets
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Maintaining accurate data is a concern of all GIS users. The geodatabase offers you the ability to create geographic features that represent the real world. As the real world changes, you must update these features and their attributes. When creating or updating data, you can add behavior to your features and other objects to minimize the potential for errors.After completing this course, you will be able to:Define the two types of attribute domains and discuss how they differ.Create attribute domains and use them when editing data.Create subtypes and use them when editing data.Explain the difference between an attribute domain and a subtype.