100+ datasets found
  1. Inzicht in creditverbruik met ArcGIS Online rapporten

    • support-esrinl-support.hub.arcgis.com
    Updated Dec 6, 2023
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    Esri_NL_Support (2023). Inzicht in creditverbruik met ArcGIS Online rapporten [Dataset]. https://support-esrinl-support.hub.arcgis.com/items/da6e46c591f2482f817331d73cd114ab
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    Dataset updated
    Dec 6, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri_NL_Support
    Description

    Laatste update: 13 januari 2025Als beheerder van een organisatie is het goed om te weten welke items in je ArcGIS Online omgeving een groot formaat hebben en veel credits verbruiken voor opslag.In ArcGIS Online is al veel informatie te vergaren door via het Dashboard in ArcGIS Online naar credit verbruik te kijken. Toelichting over gebruiken van het dashboard staat in dit artikel.

  2. Cloud Credits Agol Admin Public

    • hub.arcgis.com
    Updated Jan 13, 2015
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    Esri Conservation Program (2015). Cloud Credits Agol Admin Public [Dataset]. https://hub.arcgis.com/datasets/ECP::cloud-credits-agol-admin-public
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    Dataset updated
    Jan 13, 2015
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Conservation Program
    Description

    Monitoring credits useage in an AGOL organization account, how to use the built-in tools and the Activity Dashboard to see what services are using how many credits in your organization

  3. d

    Credit Unions

    • catalog.data.gov
    • opendata.dc.gov
    • +4more
    Updated Apr 23, 2025
    + more versions
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    City of Washington, DC (2025). Credit Unions [Dataset]. https://catalog.data.gov/dataset/credit-unions
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Credit Union locations provided by the Department of Insurance Securities and Banking (DISB). The Banking Bureau of the Department of Insurance, Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies and check cashers. The data is updated irregularly as needed.

  4. Tips voor het reguleren van credits

    • support-esrinl-support.hub.arcgis.com
    Updated Dec 4, 2023
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    Esri Nederland Support (2023). Tips voor het reguleren van credits [Dataset]. https://support-esrinl-support.hub.arcgis.com/items/dd10cbdd4c374e0fa9c4c86d660f0a94
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    Dataset updated
    Dec 4, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri_NL_Support
    Description

    Laatste update: 04 December 2023.Met de analyse tools van ArcGIS kunnen verschillende taken uitgevoerd worden, bijvoorbeeld gegevens samenvatten, locaties zoeken, patronen analyseren, enzovoort. Omdat deze tools makkelijk te gebruiken zijn, is het voor iedereen in de organisatie mogelijk hiermee aan de slag te gaan.Bij het gebruik van deze tools worden credits gebruikt. Hoeveel credits het kost heeft te maken met welke tool gebruikt wordt, hoe de tool wordt ingesteld en op hoeveel features de tool wordt toegepast. Wanneer je bijvoorbeeld heel Nederland gaat geocoderen, kost dit erg veel credits. In de meeste gevallen is het echter voldoende om een deel van Nederland te geocoderen.

  5. a

    Tax Credit Seismic 2D

    • gis.data.alaska.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Apr 11, 2024
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    Alaska Department of Natural Resources ArcGIS Online (2024). Tax Credit Seismic 2D [Dataset]. https://gis.data.alaska.gov/datasets/tax-credit-seismic-2d/about
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    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description
    1. This map is intended as a current snapshot of information that can be disclosed publicly regarding tax credit seismic surveys.2. Representation on this map does not guarantee public release and is subject to statutory requirements in effect at the time of acquisition and application for tax credit.3. Release is subject to public notice and permission of private oil and gas mineral estate owner where applicable. Some surveys require clipping to mineral ownership boundaries; actual map extents of released datasets may differ from those shown here. 4. Year label "Released" surveys denote actual release year. Year label "Eligible" and "Issued" denote the year in which the data is eligible for release and distribution under AS 43.55.025(f)(2)(c), most tax credit seismic projects are held confidential for 10 years from completion of initial seismic processing. 5. Map does not include surveys whose initial seismic processing was completed less than 10 years ago but prior to legislative adoption of the disclosure clause of AS 43.55.025(f)(5). Seismic surveys acquired with credits under AS 43.55.023 are not subject to disclosure under AS 43.55.025(f)(5), and cannot be represented here until their confidentiality period has expired.6. Additional qualifying surveys will be added to this map as new tax credit certificates are issued or as changes in confidentiality status allows.
  6. a

    Tax Credit Seismic 3D

    • gis.data.alaska.gov
    • data-soa-dnr.opendata.arcgis.com
    Updated Apr 11, 2024
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    Alaska Department of Natural Resources ArcGIS Online (2024). Tax Credit Seismic 3D [Dataset]. https://gis.data.alaska.gov/datasets/SOA-DNR::tax-credit-seismic-3d/about
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    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description
    1. This map is intended as a current snapshot of information that can be disclosed publicly regarding tax credit seismic surveys.2. Representation on this map does not guarantee public release and is subject to statutory requirements in effect at the time of acquisition and application for tax credit.3. Release is subject to public notice and permission of private oil and gas mineral estate owner where applicable. Some surveys require clipping to mineral ownership boundaries; actual map extents of released datasets may differ from those shown here. 4. Year label "Released" surveys denote actual release year. Year label "Eligible" and "Issued" denote the year in which the data is eligible for release and distribution under AS 43.55.025(f)(2)(c), most tax credit seismic projects are held confidential for 10 years from completion of initial seismic processing. 5. Map does not include surveys whose initial seismic processing was completed less than 10 years ago but prior to legislative adoption of the disclosure clause of AS 43.55.025(f)(5). Seismic surveys acquired with credits under AS 43.55.023 are not subject to disclosure under AS 43.55.025(f)(5), and cannot be represented here until their confidentiality period has expired.6. Additional qualifying surveys will be added to this map as new tax credit certificates are issued or as changes in confidentiality status allows.
  7. d

    Downtown Credit Trade Area

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 4, 2025
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    D.C. Office of the Chief Technology Officer (2025). Downtown Credit Trade Area [Dataset]. https://catalog.data.gov/dataset/downtown-credit-trade-area
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    Credit Trade Areas exist only in the Downtown Zones in the 2016 Zoning Regulations and are generated by the development of residential, arts, or preferred uses and may also be generated on historic properties through conservation efforts. Credits can also be used/converted/or generated under specified circumstances if the properties were eligible for Transferable Development Rights (TDR) or Combined Lot Development (CLD) under the 1958 Zoning Regulations.

  8. a

    Urban Job Tax Credit

    • hub.arcgis.com
    • opendata2-pbcgov.opendata.arcgis.com
    Updated Sep 20, 2019
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    Palm Beach County GIS (2019). Urban Job Tax Credit [Dataset]. https://hub.arcgis.com/maps/PBCGOV::urban-job-tax-credit
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    Dataset updated
    Sep 20, 2019
    Dataset authored and provided by
    Palm Beach County GIS
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This program provides qualified existing and/or start-up businesses who create a required number of new jobs in the Urban Area the opportunity to apply for credits against either their Florida Corporate Income Tax or Florida Sales and Use Tax obligations.

  9. b

    Number of Historic Tax Credits per 1,000 Residential Units

    • data.baltimorecity.gov
    • bmore-open-data-baltimore.hub.arcgis.com
    • +2more
    Updated Mar 23, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Number of Historic Tax Credits per 1,000 Residential Units [Dataset]. https://data.baltimorecity.gov/maps/7fcfcc7ab2174a64a7836ae7aba2e6c1
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    Dataset updated
    Mar 23, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The number of residential properties that received the Historic Tax Credit per 1,000 residential properties within an area. The credit is granted on the increased assessment directly resulting from qualified improvements. The duration of the credit is for 10 years, and is applicable to properties located in designated areas of significant historical value. Source: Baltimore City Department of Finance Years Available: 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2023

  10. d

    USDOT_RRCROSSINGS_MD

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Apr 12, 2024
    + more versions
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    opendata.maryland.gov (2024). USDOT_RRCROSSINGS_MD [Dataset]. https://catalog.data.gov/dataset/usdot-rrcrossings-md
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    Dataset updated
    Apr 12, 2024
    Dataset provided by
    opendata.maryland.gov
    Description

    Summary Rail Crossings is a spatial file maintained by the Federal Railroad Administration (FRA) for use by States and railroads. Description FRA Grade Crossings is a spatial file that originates from the National Highway-Rail Crossing, Inventory Program. The program is to provide information to Federal, State, and local governments, as well as the railroad industry for the improvements of safety at highway-rail crossing. Credits Federal Railroad Administration (FRA) Use limitations There are no access and use limitations for this item. Extent West -79.491008 East -75.178954 North 39.733500 South 38.051719 Scale Range Maximum (zoomed in) 1:5,000 Minimum (zoomed out) 1:150,000,000 ArcGIS Metadata ▼►Topics and Keywords ▼►Themes or categories of the resource  transportation * Content type  Downloadable Data Export to FGDC CSDGM XML format as Resource Description No Temporal keywords  2013 Theme keywords  Rail Theme keywords  Grade Crossing Theme keywords  Rail Crossings Citation ▼►Title rr_crossings Creation date 2013-03-15 00:00:00 Presentation formats  * digital map Citation Contacts ▼►Responsible party  Individual's name Raquel Hunt Organization's name Federal Railroad Administration (FRA) Contact's position GIS Program Manager Contact's role  custodian Responsible party  Organization's name Research and Innovative Technology Administration/Bureau of Transportation Statistics Individual's name National Transportation Atlas Database (NTAD) 2013 Contact's position Geospatial Information Systems Contact's role  distributor Contact information  ▼►Phone  Voice 202-366-DATA Address  Type  Delivery point 1200 New Jersey Ave. SE City Washington Administrative area DC Postal code 20590 e-mail address answers@BTS.gov Resource Details ▼►Dataset languages  * English (UNITED STATES) Dataset character set  utf8 - 8 bit UCS Transfer Format Spatial representation type  * vector * Processing environment Microsoft Windows 7 Version 6.1 (Build 7600) ; Esri ArcGIS 10.2.0.3348 Credits Federal Railroad Administration (FRA) ArcGIS item properties  * Name USDOT_RRCROSSINGS_MD * Size 0.047 Location withheld * Access protocol Local Area Network Extents ▼►Extent  Geographic extent  Bounding rectangle  Extent type  Extent used for searching * West longitude -79.491008 * East longitude -75.178954 * North latitude 39.733500 * South latitude 38.051719 * Extent contains the resource Yes Extent in the item's coordinate system  * West longitude 611522.170675 * East longitude 1824600.445629 * South latitude 149575.449134 * North latitude 752756.624659 * Extent contains the resource Yes Resource Points of Contact ▼►Point of contact  Individual's name Raquel Hunt Organization's name Federal Railroad Administration (FRA) Contact's position GIS Program Manager Contact's role  custodian Resource Maintenance ▼►Resource maintenance  Update frequency  annually Resource Constraints ▼►Constraints  Limitations of use There are no access and use limitations for this item. Spatial Reference ▼►ArcGIS coordinate system  * Type Projected * Geographic coordinate reference GCS_North_American_1983_HARN * Projection NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet * Coordinate reference details  Projected coordinate system  Well-known identifier 2893 X origin -120561100 Y origin -95444400 XY scale 36953082.294548117 Z origin -100000 Z scale 10000 M origin -100000 M scale 10000 XY tolerance 0.0032808333333333331 Z tolerance 0.001 M tolerance 0.001 High precision true Latest well-known identifier 2893 Well-known text PROJCS["NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree"

  11. a

    State Enterprise Zones

    • remakela-lahub.opendata.arcgis.com
    • visionzero.geohub.lacity.org
    • +4more
    Updated Nov 14, 2015
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    lahub_admin (2015). State Enterprise Zones [Dataset]. https://remakela-lahub.opendata.arcgis.com/datasets/state-enterprise-zones
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    Dataset updated
    Nov 14, 2015
    Dataset authored and provided by
    lahub_admin
    Area covered
    Description

    The City has three State Enterprise Zones (SEZ): Los Angeles-Hollywood; East Los Angeles; and Harbor Gateway Communities. Each Zone provides business owners within the Zone boundaries with State incentives such as tax credits and deductions for hiring eligible employees, credits for sales and use taxes paid on qualifying machinery and electronic equipment, additional business expense deductions, and credits to lenders for loans made to Enterprise Zone businesses.

  12. d

    Enterprise Zones in California.

    • datadiscoverystudio.org
    Updated Jun 26, 2018
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    E. Kauffman DOT/GIS (2018). Enterprise Zones in California. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/114bcbec60f54654b707be6cd696d998/html
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    Dataset updated
    Jun 26, 2018
    Authors
    E. Kauffman DOT/GIS
    Area covered
    Description

    Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

  13. Wind Techno-economic Exclusion

    • catalog.data.gov
    • s.cnmilf.com
    • +5more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). Wind Techno-economic Exclusion [Dataset]. https://catalog.data.gov/dataset/wind-techno-economic-exclusion-29d91
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Description

    The site suitability criteria included in the techno-economic land use screens are listed below. As this list is an update to previous cycles, tribal lands, prime farmland, and flood zones are not included as they are not technically infeasible for development. The techno-economic site suitability exclusion thresholds are presented in table 1. Distances indicate the minimum distance from each feature for commercial scale wind developmentAttributes: Steeply sloped areas: change in vertical elevation compared to horizontal distancePopulation density: the number of people living in a 1 km2 area Urban areas: defined by the U.S. Census. Water bodies: defined by the U.S. National Atlas Water Feature Areas, available from Argonne National Lab Energy Zone Mapping Tool Railways: a comprehensive database of North America's railway system from the Federal Railroad Administration (FRA), available from Argonne National Lab Energy Zone Mapping Tool Major highways: available from ESRI Living Atlas Airports: The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. Available from Argonne National Lab Energy Zone Mapping Tool Active mines: Active Mines and Mineral Processing Plants in the United States in 2003Military Lands: Land owned by the federal government that is part of a US military base, camp, post, station, yard, center, or installation. Table 1 Wind Steeply sloped areas >10o Population density >100/km2 Capacity factor <20% Urban areas <1000 m Water bodies <250 m Railways <250 m Major highways <125 m Airports <5000 m Active mines <1000 m Military Lands <3000m For more information about the processes and sources used to develop the screening criteria see sources 1-7 in the footnotes. Data updates occur as needed, corresponding to typical 3-year CPUC IRP planning cyclesFootnotes:[1] Lopez, A. et. al. “U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis,” 2012. https://www.nrel.gov/docs/fy12osti/51946.pdf[2] https://greeningthegrid.org/Renewable-Energy-Zones-Toolkit/topics/social-environmental-and-other-impacts#ReadingListAndCaseStudies[3] Multi-Criteria Analysis for Renewable Energy (MapRE), University of California Santa Barbara. https://mapre.es.ucsb.edu/[4] Larson, E. et. al. “Net-Zero America: Potential Pathways, Infrastructure, and Impacts, Interim Report.” Princeton University, 2020. https://environmenthalfcentury.princeton.edu/sites/g/files/toruqf331/files/2020-12/Princeton_NZA_Interim_Report_15_Dec_2020_FINAL.pdf.[5] Wu, G. et. al. “Low-Impact Land Use Pathways to Deep Decarbonization of Electricity.” Environmental Research Letters 15, no. 7 (July 10, 2020). https://doi.org/10.1088/1748-9326/ab87d1.[6] RETI Coordinating Committee, RETI Stakeholder Steering Committee. “Renewable Energy Transmission Initiative Phase 1B Final Report.” California Energy Commission, January 2009.[7] Pletka, Ryan, and Joshua Finn. “Western Renewable Energy Zones, Phase 1: QRA Identification Technical Report.” Black & Veatch and National Renewable Energy Laboratory, 2009. https://www.nrel.gov/docs/fy10osti/46877.pdf.[8]https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2019&layergroup=Urban+Areas[9]https://ezmt.anl.gov/[10]https://www.arcgis.com/home/item.html?id=fc870766a3994111bce4a083413988e4[11]https://mrdata.usgs.gov/mineplant/Credits Title: Techno-economic screening criteria for utility-scale wind energy installations for Integrated Resource Planning Purpose for creation: These site suitability criteria are for use in electric system planning, capacity expansion modeling, and integrated resource planning. Keywords: wind energy, resource potential, techno-economic, IRP Extent: western states of the contiguous U.S. Use Limitations The geospatial data created by the use of these techno-economic screens inform high-level estimates of technical renewable resource potential for electric system planning and should not be used, on their own, to guide siting of generation projects nor assess project-level impacts.Confidentiality: Public ContactEmily Leslie Emily@MontaraMtEnergy.comSam Schreiber sam.schreiber@ethree.com Jared Ferguson Jared.Ferguson@cpuc.ca.govOluwafemi Sawyerr femi@ethree.com

  14. a

    Number of Historic Tax Credits per 1,000 Residential Units - Community...

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Mar 23, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Number of Historic Tax Credits per 1,000 Residential Units - Community Statistical Area [Dataset]. https://hub.arcgis.com/datasets/7fcfcc7ab2174a64a7836ae7aba2e6c1
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    Dataset updated
    Mar 23, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The number of residential properties that received the Historic Tax Credit per 1,000 residential properties within an area. The credit is granted on the increased assessment directly resulting from qualified improvements. The duration of the credit is for 10 years, and is applicable to properties located in designated areas of significant historical value. Source: Baltimore City Department of Finance Years Available: 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2023

  15. ArcGIS World Geocoding

    • hub.arcgis.com
    • cityworks-alcogis.opendata.arcgis.com
    Updated Dec 20, 2012
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    Esri (2012). ArcGIS World Geocoding [Dataset]. https://hub.arcgis.com/content/305f2e55e67f4389bef269669fc2e284
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    Dataset updated
    Dec 20, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World
    Description

    The ArcGIS World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The result might be displayed on the map, but the result is not stored in any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a database. Mapping is not always involved, but placing the results on a map may be part of a workflow. Batch geocoding falls into this category. Geocoding requires a subscription. An ArcGIS Online Subscription, or ArcGIS Location Platform Subscription, will provide you access to the ArcGIS World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the ArcGIS World Geocoding service documentation.

  16. a

    Number of Homestead Tax Credits per 1,000 Residential Units - Community...

    • hub.arcgis.com
    Updated Mar 24, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Number of Homestead Tax Credits per 1,000 Residential Units - Community Statistical Area [Dataset]. https://hub.arcgis.com/datasets/42d55882f7094ffa99e441f64a91857f
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    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The number of residential properties that received the homestead tax credit per 1,000 residential properties within an area. The Homestead Credit limits the increase in taxable assessments each year to a fixed percentage. Every county and municipality in Maryland is required to limit taxable assessment increases to 10% or less each year, with the Baltimore City rate capped at 4%. Source: Baltimore City Department of Finance Years Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2023

  17. Conservation and Mitigation Banks [ds2782]

    • catalog.data.gov
    • data.ca.gov
    • +6more
    Updated Nov 27, 2024
    + more versions
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    California Department of Fish and Wildlife (2024). Conservation and Mitigation Banks [ds2782] [Dataset]. https://catalog.data.gov/dataset/conservation-and-mitigation-banks-ds2782-2c94f
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    Description

    A conservation or mitigation bank is privately or publicly owned land managed for its natural resource values. In exchange for permanently protecting, managing, and monitoring the land, the bank sponsor is allowed to sell or transfer habitat credits to permitees who need to satisfy legal requirements and compensate for the environmental impacts of developmental projects.Conservation (Endangered Species) BankingA conservation bank generally protects threatened and endangered species and habitat. Credits are established for the specific sensitive species that occur on the site. Conservation banks help to consolidate small, fragmented sensitive species compensation projects into large contiguous preserves which have much higher wildlife habitat values. Other agencies that typically participate in the regulation and approval of conservation banks are the U.S. Fish and Wildlife Service and National Oceanic and Atmospheric Administration-National Marine Fisheries Service.Mitigation (Wetlands) BankingA mitigation bank protects, restores, creates, and enhances wetland habitats. Credits are established to compensate for unavoidable wetland losses. Use of mitigation bank credits must occur in advance of development, when the compensation cannot be achieved at the development site or would not be as environmentally beneficial. Mitigation banking helps to consolidate small, fragmented wetland mitigation projects into large contiguous preserves which will have much higher wildlife habitat values. Mitigation banks are generally approved by the California Department of Fish and Wildlife, U.S. Fish and Wildlife Service, the U.S. Army Corps of Engineers, and the U.S. Environmental Protection Agency.

  18. a

    OpenStreetMap Medical Facilities for Africa

    • wb-sdgs.hub.arcgis.com
    • rwanda.africageoportal.com
    • +13more
    Updated May 17, 2021
    + more versions
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    smoore2_osm (2021). OpenStreetMap Medical Facilities for Africa [Dataset]. https://wb-sdgs.hub.arcgis.com/items/5f23ebcc16ab4ee79534f2d1cc686a6c
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    Dataset updated
    May 17, 2021
    Dataset authored and provided by
    smoore2_osm
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) point data of medical facilities for Africa, which is updated every 15 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity features defined as a query against the hosted feature layer where the amenity value is any of 'hospital', 'clinic', 'doctors', or 'pharmacy'.In OSM, amenities are useful and important facilities for visitors and residents, such as hospitals and clinics. These features are identified with an amenity tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for the most common amenity tags used for medical facilities.Zoom in to large scales (e.g. Neighborhood level or 1:20k scale) to see the amenity features display. You can click on a feature to get the name of the amenity. The name of the amenity will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this medical facilities layer displaying just one or two amenity types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is hospital), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri will publish a few such layers (e.g. Places of Worship, Schools, and Parking) that are ready to use, but not for every type of amenity.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  19. CDFW Approved Mitigation Service Areas [ds2659]

    • catalog.data.gov
    • data.ca.gov
    • +4more
    Updated Nov 27, 2024
    + more versions
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    California Department of Fish and Wildlife (2024). CDFW Approved Mitigation Service Areas [ds2659] [Dataset]. https://catalog.data.gov/dataset/cdfw-approved-mitigation-service-areas-ds2659-7dae7
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    Description

    This data set is of service areas for mitigation and conservation banks for which the California Department of Fish and Wildlife is a signatory. It does not include service areas for banks which are approved only Federally or for credits for species for which the Department does not require mitigation. All data, including boundaries and species covered and should be verified with the bank sponsor prior to making any decisions based on this data set. The contact information for the bank sponsor can be found at https://wildlife.ca.gov/conservation/planning/banking/approved-banks. Please look at the "Comment" field for important information regarding individual Service Area limitations. A Conservation or Mitigation Bank is privately or publicly owned land managed for its natural resource values. In exchange for permanently protecting, managing, and monitoring the land, the bank sponsor is allowed to sell or transfer habitat credits to perrmitees who need to satisfy legal requirements and compensate for the environmental impacts of developmental projects.Conservation (Endangered Species) BankingA conservation bank generally protects threatened and endangered species and habitat. Credits are established for the specific sensitive species that occur on the site. Conservation banks help to consolidate small, fragmented sensitive species compensation projects into large contiguous preserves which have much higher wildlife habitat values. Other agencies that typically participate in the regulation and approval of conservation banks are the U.S. Fish and Wildlife Service and National Oceanic and Atmospheric Administration-National Marine Fisheries Service.Mitigation (Wetlands) BankingA mitigation bank protects, restores, creates, and enhances wetland habitats. Credits are established to compensate for unavoidable wetland losses. Use of mitigation bank credits must occur in advance of development, when the compensation cannot be achieved at the development site or would not be

  20. a

    Number of Homeowner's Tax Credits per 1,000 Residential Units - Community...

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • bmore-open-data-baltimore.hub.arcgis.com
    • +1more
    Updated Mar 30, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Number of Homeowner's Tax Credits per 1,000 Residential Units - Community Statistical Area [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/bniajfi::number-of-homeowners-tax-credits-per-1000-residential-units-1?layer=0
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    Dataset updated
    Mar 30, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The number of residential properties that received the homeowners tax credit per 1,000 residential properties within an area. The homeowner?s tax credit sets a limit on the amount of property taxes any homeowner must pay based upon his or her income. Source: Baltimore City Department of Finance Years Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2021, 2023

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Esri_NL_Support (2023). Inzicht in creditverbruik met ArcGIS Online rapporten [Dataset]. https://support-esrinl-support.hub.arcgis.com/items/da6e46c591f2482f817331d73cd114ab
Organization logo

Inzicht in creditverbruik met ArcGIS Online rapporten

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Dataset updated
Dec 6, 2023
Dataset provided by
Esrihttp://esri.com/
Authors
Esri_NL_Support
Description

Laatste update: 13 januari 2025Als beheerder van een organisatie is het goed om te weten welke items in je ArcGIS Online omgeving een groot formaat hebben en veel credits verbruiken voor opslag.In ArcGIS Online is al veel informatie te vergaren door via het Dashboard in ArcGIS Online naar credit verbruik te kijken. Toelichting over gebruiken van het dashboard staat in dit artikel.

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