53 datasets found
  1. Indoor Space Planner

    • noveladata.com
    • city-of-lawrenceville-arcgis-hub-lville.hub.arcgis.com
    Updated Jul 1, 2020
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    esri_en (2020). Indoor Space Planner [Dataset]. https://www.noveladata.com/items/6c4364278c5c47b4b3d8f8744acd67f9
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    Dataset updated
    Jul 1, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Indoor Space Planner is an ArcGIS Indoors application template for space management and assignment inside buildings. It provides an indoor mapping experience to perform occupant assignment updates to account for reorganization efforts, changes to office space, or growth in the organization. You can use Space Planner to plan office moves as well as define areas and staff assignments for office hoteling.Key Features offered by the Indoor Space Planner appConsolidate space through occupant office assignments and make more space available for other usesUpdate occupant assignments with newly built or acquired office spacesDefine seating arrangements to support a safer work environmentIncrease collaboration between staff and teams with space assignment for improved productivity and communicationAssign staff and teams to areas that optimize access to building assets such as collaboration spaces, meeting rooms, equipment, or amenitiesSpace Planner application requires Indoors Spaces license.

  2. d

    ESI GIS Data and PDF Maps: Environmental Sensitivity Index including GIS...

    • catalog.data.gov
    • fisheries.noaa.gov
    • +1more
    Updated Aug 14, 2025
    + more versions
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    (Point of Contact, Custodian) (2025). ESI GIS Data and PDF Maps: Environmental Sensitivity Index including GIS Data and Maps (for the U.S. Shorelines, including Alaska, Hawaii, and Puerto Rico) [Dataset]. https://catalog.data.gov/dataset/esi-gis-data-and-pdf-maps-environmental-sensitivity-index-including-gis-data-and-maps-for-the-u1
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    Dataset updated
    Aug 14, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    Puerto Rico, United States
    Description

    Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps are a product of the Hazardous Materials Response Division of the Office of Response and Restoration (OR&R).ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), human-use resources, and sensitive biological resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in Alaska, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other atlases, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii and Puerto Rico.

  3. Open Space for Public Use in Joint-user Government Offices in Hong Kong

    • data-esrihk.opendata.arcgis.com
    • opendata.esrichina.hk
    • +1more
    Updated Apr 5, 2024
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    Esri China (Hong Kong) Ltd. (2024). Open Space for Public Use in Joint-user Government Offices in Hong Kong [Dataset]. https://data-esrihk.opendata.arcgis.com/maps/6cde3a3f30c24dd6b2939d6d998ff80d
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    Dataset updated
    Apr 5, 2024
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the location of Open Space for Public Use in Joint-user Government Offices managed by Government Property Agency in Hong Kong. It is a set of data made available by the Government Property Agency under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

  4. G

    Geologic Map and GIS Data for the Wabuska Geothermal Area

    • gdr.openei.org
    • data.openei.org
    • +5more
    archive
    Updated Sep 30, 2013
    + more versions
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    Nick Hinz; Nick Hinz (2013). Geologic Map and GIS Data for the Wabuska Geothermal Area [Dataset]. http://doi.org/10.15121/1148721
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    archiveAvailable download formats
    Dataset updated
    Sep 30, 2013
    Dataset provided by
    Geothermal Data Repository
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    University of Nevada
    Authors
    Nick Hinz; Nick Hinz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Wabuska
    Description

    Wabuska-ESRI geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, veins, dikes, unit polygons, and attitudes of strata. - List of stratigraphic units and stratigraphic correlation diagram. - One cross-section.

  5. w

    Global Digital MAP Service Market Research Report: By Application...

    • wiseguyreports.com
    Updated Sep 15, 2025
    + more versions
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    (2025). Global Digital MAP Service Market Research Report: By Application (Transportation, Logistics, Urban Planning, Tourism, Telecommunications), By Technology (GPS, GIS, 3D Mapping, Augmented Reality Mapping, Satellite Imagery), By End Use (Government, Commercial, Individual Consumers), By Deployment Type (Cloud-Based, On-Premises) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/digital-map-service-market
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    Dataset updated
    Sep 15, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Sep 25, 2025
    Area covered
    North America, Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20249.04(USD Billion)
    MARKET SIZE 20259.84(USD Billion)
    MARKET SIZE 203523.0(USD Billion)
    SEGMENTS COVEREDApplication, Technology, End Use, Deployment Type, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSincreasing smartphone penetration, demand for real-time navigation, growth of ride-hailing services, expansion of IoT applications, surge in location-based advertising
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDQuanergy, Geotab, Apple, Navinfo, Amap, Cyclomedia, HERE Technologies, Microsoft, TomTom, ESRI, Mapbox, Mobileye, Google, OpenStreetMap, Sygic
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESIncreased demand for location-based services, Growth in autonomous vehicle technology, Expansion of smart city initiatives, Rising popularity of mobile mapping applications, Integration of AI and machine learning.
    COMPOUND ANNUAL GROWTH RATE (CAGR) 8.9% (2025 - 2035)
  6. V

    Buildings

    • data.virginia.gov
    • hub.arcgis.com
    • +1more
    Updated Oct 9, 2025
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    Fairfax County (2025). Buildings [Dataset]. https://data.virginia.gov/dataset/buildings2
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    kml, arcgis geoservices rest api, zip, gdb, html, csv, geojson, xlsx, gpkg, txtAvailable download formats
    Dataset updated
    Oct 9, 2025
    Dataset provided by
    Fairfax County GIS and Mapping Services
    Authors
    Fairfax County
    Description

    This layer contains the buildings that have been captured through various processes. The original data in this layer was captured during the 1997 data conversion effort for Fairfax County. After that an update capture was completed in 2014 using stereo models from the 2009 Virginia State imagery. Subsequent to that an update capture was completed in 2022 using stereo models from the 2017 Virginia State imagery.

    In between these planimetric update projects the GIS office has captured building footprints from orthophotography by performing heads up digitizing from site plans. These different sources of the buildings are indicated within the building attributes as well as the type of building. The buildings also include a building top and ground location and elevation value both in NAVD88 and NGVD29 datum. These locations indicate the highest point on a building based on the primary usable structure and the lowest elevation point of the structure. There are also buildings that may be multiple components that will make up a podium building. In this case there will be multiple polygons stacked on top of each other for a single building identifier. The difference of each polygon is the top elevation. This can be then used to extrude these structures to more approximate the look of these podium types of buildings.

    The most recent planimetric update was completed in 2024 using orthoimagery from the 2023 and 2022 Eagleview Orthophotos, it does not include a building top and ground location and elevation values.

    Contact: Fairfax County Department of Information Technology GIS Division

    Data Accessibility: Publicly Available

    Update Frequency: As Needed

    Last Revision Date: 3/1/2024

    Creation Date: 1/1/1997

    Feature Dataset Name: GISMGR.PLANIMETRIC

    Layer Name: GISMGR.BUILDINGS

  7. V

    Loudoun Buildings

    • data.virginia.gov
    • community-loudoungis.opendata.arcgis.com
    • +8more
    Updated Sep 12, 2023
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    Loudoun County (2023). Loudoun Buildings [Dataset]. https://data.virginia.gov/dataset/loudoun-buildings
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    csv, kml, geojson, arcgis geoservices rest api, zip, htmlAvailable download formats
    Dataset updated
    Sep 12, 2023
    Dataset provided by
    Loudoun County GIS
    Authors
    Loudoun County
    Area covered
    Loudoun County
    Description

    Building Footprints are a base map data layer derived by automated processes and processed for cartographic representation at 1:2400 scale. The polygon features represent the outlines of buildings and structures as seen from above and are mapped to National Map Accuracy Standards (NMAS). Purpose: Building footprints are used as reference points in the parcel mapping process and in address assignment. They are also used in the provision of emergency services. Supplemental Information: OMAGI updates all base map data via a photogrammetric process, using aerial imagery that is flown yearly in phases. A different portion of the County is updated each year with the base map maintenance services contract, depending upon development patterns and update funding. See "Lineage" section, in the full FGDC version, for the list of extents for each Phase area, which are listed as Data Sources. For a map of the most recent reviews and updates within the county, pleaseclick here. Data are stored in the corporate ArcSDE Geodatabase as a polygon feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN, US Survey foot units. Use Constraints: Every reasonable effort has been made to assure the accuracy of these data. Loudoun County, Virginia does not assume any liability arising from the use of these data. These data are provided without warranty of any kind, expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular service. Reliance on these data is at the risk of the user. These data are intended for use at 1:2400 scale or smaller. Maintenance and Update Frequency: Annually Completeness Report: Base Map features have been updated from different sources and in different years. Although the entire county was originally mapped, users should be cautious and aware that any particular area of interest may not be absolutely current and up to date. This is a result of the development patterns and update funding determining what area to update, with the entire County being reviewed prior to any update. Data Owner: Office of Mapping and Geographic Information
  8. h

    Data from: Land Use Land Cover (LULC)

    • geoportal.hawaii.gov
    • opendata.hawaii.gov
    • +3more
    Updated Dec 30, 2016
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    Hawaii Statewide GIS Program (2016). Land Use Land Cover (LULC) [Dataset]. https://geoportal.hawaii.gov/datasets/land-use-land-cover-lulc
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    Dataset updated
    Dec 30, 2016
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    [Metadata] Description: Land Use Land Cover of main Hawaiian Islands as of 1976Source: 1:100,000 1976 Digital GIRAS (Geographic Information Retrieval and Analysis) files. Land Use and Land Cover (LULC) data consists of historical land use and land cover classification data that was based primarily on the manual interpretation of 1970's and 1980's aerial photography. Secondary sources included land use maps and surveys. There are 21 possible categories of cover type. The spatial resolution for all LULC files will depend on the format and feature type. Files in GIRAS format will have a minimum polygon area of 10 acres (4 hectares) with a minimum width of 660 feet (200 meters) for manmade features. Non-urban or natural features have a minimum polygon area of 40 acres (16 hectares) with a minimum width of 1320 feet (400 meters). Files in CTG format will have a resolution of 30 meters. May 2024: Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of the 2016 GIS database conversion and were no longer needed.For additional information, please refer to https://files.hawaii.gov/dbedt/op/gis/data/lulc.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  9. m

    OBSOLETE Land Use

    • gis.data.mass.gov
    • open-data-massgis.hub.arcgis.com
    Updated Jul 1, 2014
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    City of Cambridge (2014). OBSOLETE Land Use [Dataset]. https://gis.data.mass.gov/datasets/CambridgeGIS::obsolete-land-use
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    Dataset updated
    Jul 1, 2014
    Dataset authored and provided by
    City of Cambridge
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    This dataset is OBSOLETE as of 12/3/2024 and will be removed from ArcGIS Online on 12/3/2025.An updated version of this dataset is available at Land Use FY2024.This data set derives from several sources, and is updated annually with data current through July 1 of the reported year. The primary source is a data dump from the VISION assessing data system, which provided data up to date as of January 1, 2012, and is supplemented by information from subsequent building permits and Development Logs. (Use codes provided by this system combine aspects of land use, tax status, and condominium status. In an effort to clarify land use type the data has been cleaned and subdivided to break the original use code into several different fields.) The data set has further been supplemented and updated with development information provided by building permits issued by the Inspectional Services Department and from data found in the Development Log publication. Information from these sources is added to the data set periodically. Land use status is up to date as of the Last Modified date.Differences From “Official” Parcel LayerThe Cambridge GIS system maintains a separate layer of land parcels reflecting up to date subdivision and ownership. The parcel data associated with the Land Use Data set differs from the “official” parcel layer in a number of cases. For that reason this separate parcel layer is provided to work with land use data in a GIS environment. See the Assessing Department’s Parcel layer for the most up-to-date land parcel boundaries.Table of Land Use CodesThe following table lists all land use code found in the data layer:Land Use CodeLand Use DescriptionCategory0101MXD SNGL-FAM-REMixed Use Residential0104MXD TWO-FAM-RESMixed Use Residential0105MXD THREE-FM-REMixed Use Residential0111MXD 4-8-UNIT-APMixed Use Residential0112MXD >8-UNIT-APTMixed Use Residential0121MXD BOARDING-HSMixed Use Residential013MULTIUSE-RESMixed Use Residential031MULTIUSE-COMMixed Use Commercial0340MXD GEN-OFFICEMixed Use Commercial041MULTIUSE-INDMixed Use Industrial0942Higher Ed and Comm MixedMixed Use Education101SNGL-FAM-RESResidential1014SINGLE FAM W/AUResidential104TWO-FAM-RESResidential105THREE-FM-RESResidential106RES-LAND-IMPTransportation1067RES-COV-PKGTransportation1114-8-UNIT-APTResidential112>8-UNIT-APTResidential113ASSISTED-LIVAssisted Living/Boarding House121BOARDING-HSEAssisted Living/Boarding House130RES-DEV-LANDVacant Residential131RES-PDV-LANDVacant Residential132RES-UDV-LANDVacant Residential1322RES-UDV-PARK (OS) LNVacant Residential140CHILD-CARECommercial300HOTELCommercial302INN-RESORTCommercial304NURSING-HOMEHealth316WAREHOUSECommercial323SH-CNTR/MALLCommercial324SUPERMARKETCommercial325RETAIL-STORECommercial326EATING-ESTBLCommercial327RETAIL-CONDOCommercial330AUTO-SALESCommercial331AUTO-SUPPLYCommercial332AUTO-REPAIRCommercial334GAS-STATIONCommercialLand Use CodeLand Use DescriptionCategory335CAR-WASHCommercial336PARKING-GARTransportation337PARKING-LOTTransportation340GEN-OFFICEOffice341BANKCommercial342MEDICAL-OFFCHealth343OFFICE-CONDOOffice345RETAIL-OFFICOffice346INV-OFFICEOffice353FRAT-ORGANIZCommercial362THEATRECommercial370BOWLING-ALLYCommercial375TENNIS-CLUBCommercial390COM-DEV-LANDVacant Commercial391COM-PDV-LANDVacant Commercial392COM-UDV-LANDVacant Commercial3922CRMCL REC LNDVacant Commercial400MANUFACTURNGIndustrial401WAREHOUSEIndustrial404RES-&-DEV-FCOffice/R&D406HIGH-TECHOffice/R&D407CLEAN-MANUFIndustrial409INDUST-CONDOIndustrial413RESRCH IND CNDIndustrial422ELEC GEN PLANTUtility424PUB UTIL REGUtility428GAS-CONTROLUtility430TELE-EXCH-STAUtility440IND-DEV-LANDVacant Industrial442IND-UDV-LANDVacant Industrial920ParklandsPublic Open Space930Government OperationsGovernment Operations934Public SchoolsEducation940Private Pre & Elem SchoolEducation941Private Secondary SchoolEducation942Private CollegeHigher Education9421Private College Res UnitsEducation Residential943Other Educ & Research OrgHigher EducationLand Use CodeLand Use DescriptionCategory953CemeteriesCemetery955Hospitals & Medical OfficHealth956MuseumsHigher Education957Charitable ServicesCharitable/Religious960ReligiousCharitable/Religious971Water UtilityUtility972Road Right of WayTransportation975MBTA/RailroadTransportation9751MBTA/RailroadTransportation995Private Open SpacePrivately-Owned Open SpaceExplore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription ML type: Stringwidth: 16precision: 0 Map-Lot: This a unique parcel identifier found in the deed and used by the Assessing data system. In a few cases, where parcels have been subdivided subsequent to January 1, 2012, a placeholder Map-Lot number is assigned that differs from that used elsewhere.

    MAP type: Stringwidth: 5precision: 0 This Map portion of the unique parcel identifier found in the deed and used by the Assessing data system. In a few cases, where parcels have been subdivided subsequent to January 1, 2012, a placeholder Map-Lot number is assigned that differs from that used elsewhere.

    LOT type: Stringwidth: 5precision: 0 This is the Lot portion of the unique parcel identifier found in the deed and used by the Assessing data system. In a few cases, where parcels have been subdivided subsequent to January 1, 2012, a placeholder Map-Lot number is assigned that differs from that used elsewhere.

    Location type: Stringwidth: 254precision: 0 In the great majority of cases this is the street address of the parcel as it is recorded in the Registry of Deed record. In instances where edits were made to the base parcel layer the best address available at the time is employed.

    LandArea type: Doublewidth: 8precision: 15

    LUCode type: Stringwidth: 254precision: 0 The four digit text string in this field indicates the primary usage of a parcel. While the codes are based on the standard Massachusetts assessing land use classification system, they differ in a number of cases; the coding system used here is unique to this data set. Note that other minor uses may occur on a property and, in some cases, tenants may introduce additional uses not reflected here (eg, office space used as a medical office, home based businesses).

    LUDesc type: Stringwidth: 254precision: 0 The short description gives more detail about the specific use indicated by the Land Use Code. Most descriptions are taken from the standard Massachusetts assessing land use classification system.

    Category type: Stringwidth: 254precision: 0 This broader grouping of land uses can be used to map land use data. You can find the land use data mapped at: https://www.cambridgema.gov/CDD/factsandmaps/mapgalleries/othermaps

    ExistUnits type: Doublewidth: 8precision: 15 This value indicates the number of existing residential units as of July 1 of the reported year. A residential unit may be a house, an apartment, a mobile home, a group of rooms or a single room that is occupied (or, if vacant, intended for occupancy) as separate living quarters. This includes units found in apartment style graduate student housing residences and rooms in assisted living facilities and boarding houses are treated as also housing units. The unit count does not include college or graduate student dormitories, nursing home rooms, group homes, or other group quarters living arrangements.

    MixedUseTy type: Stringwidth: 254precision: 0 Two flags are used for this field. “Groundfloor” indicates that a commercial use is found on the ground floor of the primary building, and upper floors are used for residential purposes. “Mixed” indicates that two or more uses are found throughout the structure or multiple structures on the parcel, one of which is residential.

    GQLodgingH type: Stringwidth: 254precision: 0 A value of “Yes” indicates that the primary use of the property is as a group quarters living arrangement. Group quarters are a place where people live or stay, in a group living arrangement, that is owned or managed by an entity or organization providing housing and/or services for the residents. Group quarters include such places as college residence halls, residential treatment centers, skilled nursing facilities, group homes, military barracks, correctional facilities, and workers’ dormitories.

    Most university dormitories are included under the broader higher education land use code, as most dormitories are included in the larger parcels comprising the bulk of higher education campuses.

    GradStuden type: Stringwidth: 254precision: 0 A value of “Yes” indicates the parcel is used to house graduate students in apartment style units. Graduate student dormitories are treated as a higher education land use.

    CondoFlag type: Stringwidth: 254precision: 0 “Yes” indicates that the parcel is owned as a condominium. Condo properties can include one or more uses, including residential, commercial, and parking. The great majority of such properties in Cambridge are residential only.

    TaxStatus type: Stringwidth: 254precision: 0 A value indicates that the parcel is not subject to local property taxes. The following general rules are employed to assign properties to subcategories, though special situations exist in a number of cases.

    o Authority: Properties owned the Cambridge Redevelopment Authority and Cambridge Housing Authority. o City: Properties owned by the City of Cambridge or cemetery land owned by the Town of Belmont. o Educ: Includes properties used for education purposes, ranging from pre-schools to university research facilities. (More detail about the level of education can be found using the Land Use Code.) o Federal: Properties owned by the federal government, including the Post Office. Certain properties with assessing data indicating Cambridge Redevelopment Authority ownership are in fact owned by the federal government as part of the Volpe Transportation Research Center and are so treated here. o Other: Nontaxable properties owned by a nonprofit organization and not

  10. w

    Global Indoor GIS Software Market Research Report: By Application (Asset...

    • wiseguyreports.com
    Updated Sep 15, 2025
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    (2025). Global Indoor GIS Software Market Research Report: By Application (Asset Tracking, Facility Management, Emergency Response, Navigation, Retail Analytics), By Deployment Type (On-Premises, Cloud-Based, Hybrid), By End Use (Healthcare, Retail, Education, Transportation, Corporate Offices), By User Type (Small Enterprises, Medium Enterprises, Large Enterprises) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/indoor-gis-software-market
    Explore at:
    Dataset updated
    Sep 15, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Sep 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20244.96(USD Billion)
    MARKET SIZE 20255.49(USD Billion)
    MARKET SIZE 203515.0(USD Billion)
    SEGMENTS COVEREDApplication, Deployment Type, End Use, User Type, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSGrowing demand for location-based services, Increasing adoption of smart buildings, Advancements in mobile mapping technologies, Integration with IoT devices, Rising need for asset management solutions
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDGISCafe, IBM, CyberCity 3D, Hexagon AB, Autodesk, Oracle, Safe Software, QGIS, Pitney Bowes, Microsoft, Esri, Maptek, GeoIQ, Here Technologies, Bentley Systems
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESIntegration with IoT technologies, Demand for smart buildings, Growth in augmented reality applications, Enhanced navigation solutions, Increased mobile user engagement
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.6% (2025 - 2035)
  11. r

    Growth Centers

    • rigis.org
    • hub.arcgis.com
    • +1more
    Updated Apr 13, 2006
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    Environmental Data Center (2006). Growth Centers [Dataset]. https://www.rigis.org/datasets/growth-centers
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    Dataset updated
    Apr 13, 2006
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    The Growth Centers data on the Future Land Use Map were developed for the Division of Planning, RI Statewide Planning Program as part of an update to a state land use plan. These data are included in the Plan as Figure 121-02-(01), Future Land Use Map. The growth centers were an end product of a GIS overlay analysis of land suitability and scenario planning for future growth. Initially the factors for centers included 9 urban communities; Providence, East Providence, Pawtucket, Cranston, Central Falls, Warwick, West Warwick, Newport and Woonsocket as potential urban centers as opposed to identifying specific neighborhoods in those municipalities. Historical downtowns and traditional mixed-use central business cores in urban fringe / suburban communities were included as potential town centers, as well as, some of the historical village downtowns and some traditional mixed-use cores in rural communities. All communities in the State either include one or more existing or potential centers or are within the Urban Services Boundary on the map. The growth centers shown in these data were selected by the Statewide Planning staff, the Technical Committee and the State Planning Council through a series of discussions at public meetings, and comments received at public hearings and workshops in the final adoption of Land Use 2025 in 2006. Centers depicted on the Future Land Use 2025 map are illustrative of potential new centers that may be established. It is not a intended as a comprehensive inventory of existing centers. Other centers may be illustrated and or proposed in municipal comprehensive plans. Full descriptions of the methodology for the GIS analysis and scenario planning can be found within the Technical Appendix D to Land Use 2025, Geographic Analysis for Land Available and Suitable for Development for Land Use 2025. Land Use 2025: State Land Use Policies and Plan was published by the RI Statewide Planning Program on April 13, 2006. The Plan directs the state and communities to concentrate growth inside the Urban Services Boundary (USB) and within potential growth centers in rural areas. It establishes different development approaches for urban and rural areas. This Map has several purposes and applications: It is intended to be used as a policy guide for directing growth to areas most capable of supporting current and future developed uses and to direct growth away from areas less suited for development. Secondly, the Map is a guide to assist the state and communities in making land use policies. It is important to note the Map is a generalized portrayal of state land use policy. It is not a statewide zoning map. Zoning matters and individual land use decisions are the prerogative of local governments. Growth Centers are envisioned to be areas that will encourage development that is both contiguous to existing development with low fiscal and environmental impacts. They are intended to be compact developed areas (existing or new) containing a defined central core that accommodate community needs for residential and economic functions. Centers are intended to provide optimum use of land and services, and offer a choice of diverse housing stock, economic functions, and cultural and governmental uses. Density will vary greatly between centers subject to site constraints; however, it is intended that they will share the common characteristic of compact development that capitalizes on existing infrastructure. Centers should reflect traditional New England development patterns with a human scale of blocks, streets, open spaces that offer walkability and access to transit where available. In suburban areas, centers should be distinguished from surrounding sprawling development by a closer proximity between residential and non-residential uses. In rural areas, centers should be surrounded by natural areas, farmland, or open space, and may have a mixed-use and or commercial area in the core for neighborhood-scale goods and services. The land use element is the over arching element in Rhode Island's State Guide Plan. The Plan articulates goals, objectives and strategies to guide the current and future land use planning of municipalities and state agencies. The purpose of the plan is to guide future land use and to present policies under which state and municipal plans and land use activities will be reviewed for consistency with the State Guide Plan. The Map is a graphical representation of recommendations for future growth patterns in the State. The Map contains a USB that shows where areas with public services supporting urban development presently exist, or are likely to be provided, through 2025. Also included on the map are growth centers which are potential areas for development and redevelopment outside of the USB. These data will be updated when plan is updated or upon an amendment approved by the State Planning Council.

  12. Joint user General Office Buildings in Hong Kong

    • opendata.esrichina.hk
    • hub.arcgis.com
    Updated Dec 12, 2023
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    Esri China (Hong Kong) Ltd. (2023). Joint user General Office Buildings in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/a61f98ce65b947ea8cdc176532f95f05
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    Dataset updated
    Dec 12, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the location of joint-user government offices managed by Government Property Agency through Property Management Services Contracts in Hong Kong. It is a set of data made available by the Government Property Agency under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

  13. n

    Mawson Station GIS Dataset update from various sources

    • access.earthdata.nasa.gov
    • cmr.earthdata.nasa.gov
    Updated Sep 4, 2019
    + more versions
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    (2019). Mawson Station GIS Dataset update from various sources [Dataset]. https://access.earthdata.nasa.gov/collections/C1214313480-AU_AADC
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    Dataset updated
    Sep 4, 2019
    Time period covered
    Jan 1, 1999 - May 25, 2012
    Area covered
    Description

    The Australian Antarctic Data Centre's Mawson Station GIS data were originally mapped from March 1996 aerial photography. Refer to the metadata record 'Mawson Station GIS Dataset'. Since then various features have been added to this data as structures have been removed, moved or established. Some of these features have been surveyed. These surveys have metadata records from which the report describing the survey can be downloaded. However, other features have been 'eyed in' as more accurate data were not available. The eyeing in has been done based on advice from Australian Antarctic Division staff and using as a guide sources such as an aerial photograph, an Engineering plan, a map or a sketch. GPS data or measurements using a measuring tape may also have been used.

    The data are included in the data available for download from a Related URL below. The data conform to the SCAR Feature Catalogue which includes data quality information. See a Related URL below. Data described by this metadata record has Dataset_id = 119. Each feature has a Qinfo number which, when entered at the 'Search datasets and quality' tab, provides data quality information for the feature.

  14. G

    Geologic Map and Cross Sections of the McGinness Hills Geothermal Area - GIS...

    • gdr.openei.org
    • data.openei.org
    • +3more
    Updated Dec 31, 2013
    + more versions
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    James E.; James E. (2013). Geologic Map and Cross Sections of the McGinness Hills Geothermal Area - GIS Data [Dataset]. http://doi.org/10.15121/1136715
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    Dataset updated
    Dec 31, 2013
    Dataset provided by
    Geothermal Data Repository
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    University of Nevada
    Authors
    James E.; James E.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Geologic map data in shapefile format that includes faults, unit contacts, unit polygons, attitudes of strata and faults, and surficial geothermal features.

    5 cross-sections in Adobe Illustrator format.

    Comprehensive catalogue of drill-hole data in spreadsheet, shapefile, and Geosoft database formats. Includes XYZ locations of well heads, year drilled, type of well, operator, total depths, well path data (deviations), lithology logs, and temperature data.

    3D model constructed with EarthVision using geologic map data, cross-sections, drill-hole data, and geophysics.

  15. w

    Global Geographic Information System GIS Solution Market Research Report: By...

    • wiseguyreports.com
    Updated Oct 18, 2025
    + more versions
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    (2025). Global Geographic Information System GIS Solution Market Research Report: By Application (Land Use Planning, Disaster Management, Transportation Management, Natural Resource Management, Urban Planning), By Deployment Type (On-Premises, Cloud-Based, Hybrid), By End Use (Government, Commercial, Defense, Healthcare, Telecommunications), By Software Type (Spatial Analysis Tools, Data Management Tools, Visualization Tools, Mapping Tools) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/geographic-information-system-gis-solution-market
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    Dataset updated
    Oct 18, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Oct 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20248.26(USD Billion)
    MARKET SIZE 20258.75(USD Billion)
    MARKET SIZE 203515.4(USD Billion)
    SEGMENTS COVEREDApplication, Deployment Type, End Use, Software Type, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSincreasing demand for spatial data, technological advancements in mapping, government initiatives for infrastructure, rising adoption in urban planning, integration with IoT and big data
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDCarto, Pitney Bowes, Bentley Systems, QGIS, Fugro, Trimble, Supergeo Technologies, Mapbox, HERE Technologies, Intergraph, Hexagon, Autodesk, GeoIQ, DeLorme, Oracle, Esri
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESUrban planning and smart cities, Environmental monitoring and management, Transportation and logistics optimization, Disaster response and management, Agricultural precision and efficiency
    COMPOUND ANNUAL GROWTH RATE (CAGR) 5.9% (2025 - 2035)
  16. G

    Geologic Map of the Neal Hot Springs Geothermal Area - GIS Data

    • gdr.openei.org
    • data.openei.org
    • +3more
    Updated Mar 31, 2013
    + more versions
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    James E.; James E. (2013). Geologic Map of the Neal Hot Springs Geothermal Area - GIS Data [Dataset]. http://doi.org/10.15121/1136730
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    Dataset updated
    Mar 31, 2013
    Dataset provided by
    Geothermal Data Repository
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    University of Nevada
    Authors
    James E.; James E.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Neal Hot Springs-ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults. - List of stratigraphic units and stratigraphic correlation diagram. - Three cross-sections. - Locations of production, injection, and exploration wells. - Locations of 40Ar/39Ar samples. - Location of XRF geochemical samples. - 3D model constructed with EarthVision using geologic map data, cross-sections, drill-hole data, and geophysics (model not in the ESRI geodatabase).

  17. G

    Geologic Map and GIS Data for the Salt Wells Geothermal Area

    • gdr.openei.org
    • data.openei.org
    • +1more
    archive
    Updated Oct 31, 2011
    + more versions
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    Nick Hinz; Nick Hinz (2011). Geologic Map and GIS Data for the Salt Wells Geothermal Area [Dataset]. http://doi.org/10.15121/1136732
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    archiveAvailable download formats
    Dataset updated
    Oct 31, 2011
    Dataset provided by
    Geothermal Data Repository
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    University of Nevada
    Authors
    Nick Hinz; Nick Hinz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Salt Wells-ESRI Geodatabase (ArcGeology v1.3): - Contains all the geologic map data, including faults, contacts, folds, dikes, unit polygons, and attitudes of strata and faults. - List of stratigraphic units and stratigraphic correlation diagram. - Locations of 40Ar/39Ar samples.

  18. a

    Data from: Comprehensive Plan Land Use

    • data-staffordva-gis.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 2, 2017
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    Stafford County, Virginia (2017). Comprehensive Plan Land Use [Dataset]. https://data-staffordva-gis.opendata.arcgis.com/datasets/comprehensive-plan-land-use
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    Dataset updated
    Jun 2, 2017
    Dataset authored and provided by
    Stafford County, Virginia
    Area covered
    Description

    LanduseThis feature layer details and describes the various uses for land within Stafford County, Virginia.These are the categories:FederalSuburban NorthSuburban StaffordshireParksPlanning Area - Warrenton RoadPlanning Area - CourthousePlanning Area - Boswell's CornerPlanning Area - Central StaffordPlanning Area - Historic Falmouth VillagePlanning Area - Rappahannock RecreationPlanning Area - Potomac LandingPlanning Area - Old Banks RecreationPlanning Area - Leeland Town StationPlanning Area - Brooke StationPlanning Area - Aquia Town CenterResource ProtectionSuburban SouthPlanning Area - WidewaterPlanning Area - The Marina DistrictPlanning Area - Central StaffordBusiness and IndustryRuralMiningThis map was created by the Stafford County GIS Office.

  19. d

    Building Footprints

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 4, 2025
    + more versions
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    Office of the Chief Technology Officer (2025). Building Footprints [Dataset]. https://catalog.data.gov/dataset/building-footprints-d97ff
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Office of the Chief Technology Officer
    Description

    Building structures include parking garages, ruins, monuments, and buildings under construction along with residential, commercial, industrial, apartment, townhouses, duplexes, etc. Buildings equal to or larger than 9.29 square meters (100 square feet) are captured. Buildings are delineated around the roof line showing the building "footprint." Roof breaks and rooflines, such as between individual residences in row houses or separate spaces in office structures, are captured to partition building footprints. This includes capturing all sheds, garages, or other non-addressable buildings over 100 square feet throughout the city. Atriums, courtyards, and other “holes” in buildings created as part of demarcating the building outline are not part of the building capture. This includes construction trailers greater than 100 square feet. Memorials are delineated around a roof line showing the building "footprint."Bleachers are delineated around the base of connected sets of bleachers. Parking Garages are delineated at the perimeter of the parking garage including ramps. Parking garages sharing a common boundary with linear features must have the common segment captured once. A parking garage is only attributed as such if there is rooftop parking. Not all rooftop parking is a parking garage, however. There are structures that only have rooftop parking but serve as a business. Those are captured as buildings. Fountains are delineated around the base of fountain structures.

  20. D

    Damper Labeling And GIS Mapping Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Damper Labeling And GIS Mapping Market Research Report 2033 [Dataset]. https://dataintelo.com/report/damper-labeling-and-gis-mapping-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Damper Labeling and GIS Mapping Market Outlook



    According to our latest research, the global damper labeling and GIS mapping market size reached USD 1.13 billion in 2024, with a robust growth trajectory driven by the increasing integration of digital solutions in building management and infrastructure development. The market is currently expanding at a CAGR of 8.2% and is forecasted to achieve a value of USD 2.22 billion by 2033. This growth is primarily attributed to the surging demand for precise asset tracking, enhanced regulatory compliance, and the adoption of advanced Geographic Information System (GIS) technologies across various industrial and commercial sectors.




    One of the primary growth factors propelling the damper labeling and GIS mapping market is the intensifying focus on building automation and smart infrastructure development. As cities worldwide embrace smart building initiatives, the need for accurate damper labeling and real-time GIS mapping becomes indispensable for efficient facility management and safety compliance. Modern HVAC systems, fire safety mechanisms, and industrial ventilation systems rely heavily on precise damper identification and location tracking. This digital transformation is further supported by stringent regulatory frameworks that mandate clear asset labeling and documentation, ensuring safety and operational efficiency. The integration of IoT and AI-driven analytics within GIS mapping platforms is also enhancing operational visibility, thereby reducing maintenance costs and downtime.




    Additionally, the rising adoption of cloud-based solutions is significantly influencing market dynamics. Cloud deployment offers scalability, remote accessibility, and seamless data sharing, which are crucial for large-scale commercial and industrial projects. Organizations are increasingly leveraging cloud-enabled GIS mapping to centralize asset data, streamline workflows, and facilitate real-time collaboration among stakeholders. This shift is particularly valuable in multi-site operations, where centralized control and standardized labeling protocols are essential for regulatory compliance and effective risk management. As a result, service providers are investing heavily in cloud infrastructure and cybersecurity, which is expected to further accelerate market growth.




    Another compelling driver for the damper labeling and GIS mapping market is the growing emphasis on fire safety and disaster preparedness. With the escalation of fire incidents in commercial and industrial facilities, regulatory bodies are enforcing stricter codes for damper identification and maintenance. GIS mapping, when integrated with advanced labeling systems, provides a comprehensive overview of damper locations, enabling swift response during emergencies. This capability is particularly critical for large-scale facilities such as hospitals, educational institutions, and manufacturing plants, where rapid evacuation and risk mitigation are paramount. Furthermore, the ongoing trend of retrofitting aging infrastructure with modern labeling and mapping solutions is opening new avenues for market expansion, as facility managers seek to enhance safety and operational transparency.




    From a regional perspective, North America continues to dominate the damper labeling and GIS mapping market, owing to its early adoption of advanced building automation technologies and stringent regulatory standards. The presence of leading technology providers, coupled with significant investments in smart city projects, is fostering innovation and market penetration. In contrast, the Asia Pacific region is witnessing the fastest growth, driven by rapid urbanization, infrastructure modernization, and government-led initiatives to enhance building safety and energy efficiency. Europe, with its mature construction sector and strong focus on sustainability, is also contributing significantly to market development. Meanwhile, Latin America and the Middle East & Africa are gradually emerging as promising markets, fueled by increasing awareness of safety regulations and the adoption of digital asset management practices.



    Component Analysis



    The damper labeling and GIS mapping market is segmented by component into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software segment is experiencing substantial growth, driven by the increasing demand for advanced GIS platforms that offer real-time data visualization, asset tr

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esri_en (2020). Indoor Space Planner [Dataset]. https://www.noveladata.com/items/6c4364278c5c47b4b3d8f8744acd67f9
Organization logo

Indoor Space Planner

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 1, 2020
Dataset provided by
Esrihttp://esri.com/
Authors
esri_en
Description

Indoor Space Planner is an ArcGIS Indoors application template for space management and assignment inside buildings. It provides an indoor mapping experience to perform occupant assignment updates to account for reorganization efforts, changes to office space, or growth in the organization. You can use Space Planner to plan office moves as well as define areas and staff assignments for office hoteling.Key Features offered by the Indoor Space Planner appConsolidate space through occupant office assignments and make more space available for other usesUpdate occupant assignments with newly built or acquired office spacesDefine seating arrangements to support a safer work environmentIncrease collaboration between staff and teams with space assignment for improved productivity and communicationAssign staff and teams to areas that optimize access to building assets such as collaboration spaces, meeting rooms, equipment, or amenitiesSpace Planner application requires Indoors Spaces license.

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