8 datasets found
  1. BOGS Training Metrics

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated May 9, 2025
    + more versions
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    Bureau of Indian Affairs (BIA) (2025). BOGS Training Metrics [Dataset]. https://catalog.data.gov/dataset/bogs-training-metrics
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    Dataset updated
    May 9, 2025
    Dataset provided by
    Bureau of Indian Affairshttp://www.bia.gov/
    Description

    Through the Department of the Interior-Bureau of Indian Affairs Enterprise License Agreement (DOI-BIA ELA) program, BIA employees and employees of federally-recognized Tribes may access a variety of geographic information systems (GIS) online courses and instructor-led training events throughout the year at no cost to them. These online GIS courses and instructor-led training events are hosted by the Branch of Geospatial Support (BOGS) or offered by BOGS in partnership with other organizations and federal agencies. Online courses are self-paced and available year-round, while instructor-led training events have limited capacity and require registration and attendance on specific dates. This dataset does not any training where the course was not completed by the participant or where training was cancelled or otherwise not able to be completed. Point locations depict BIA Office locations or Tribal Office Headquarters. For completed trainings where a participant location was not provided a point locations may not be available. For more information on the Branch of Geospatial Support Geospatial training program, please visit:https://www.bia.gov/service/geospatial-training.

  2. a

    13.3 Distance Analysis Using ArcGIS

    • training-iowadot.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 4, 2017
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    Iowa Department of Transportation (2017). 13.3 Distance Analysis Using ArcGIS [Dataset]. https://training-iowadot.opendata.arcgis.com/documents/f15a91d0e1d54ffbbf3761660755d391
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    Dataset updated
    Mar 4, 2017
    Dataset authored and provided by
    Iowa Department of Transportation
    License

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

    Description

    One important reason for performing GIS analysis is to determine proximity. Often, this type of analysis is done using vector data and possibly the Buffer or Near tools. In this course, you will learn how to calculate distance using raster datasets as inputs in order to assign cells a value based on distance to the nearest source (e.g., city, campground). You will also learn how to allocate cells to a particular source and to determine the compass direction from a cell in a raster to a source.What if you don't want to just measure the straight line from one place to another? What if you need to determine the best route to a destination, taking speed limits, slope, terrain, and road conditions into consideration? In cases like this, you could use the cost distance tools in order to assign a cost (such as time) to each raster cell based on factors like slope and speed limit. From these calculations, you could create a least-cost path from one place to another. Because these tools account for variables that could affect travel, they can help you determine that the shortest path may not always be the best path.After completing this course, you will be able to:Create straight-line distance, direction, and allocation surfaces.Determine when to use Euclidean and weighted distance tools.Perform a least-cost path analysis.

  3. Geospatial Services, Solutions (Expertise resources 800+ GIS Engineers)

    • datarade.ai
    Updated Dec 3, 2021
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    MapMyIndia (2021). Geospatial Services, Solutions (Expertise resources 800+ GIS Engineers) [Dataset]. https://datarade.ai/data-products/geospatial-services-solutions-expertise-resources-800-gis-mapmyindia
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    Dataset updated
    Dec 3, 2021
    Dataset provided by
    MapmyIndiahttps://www.mapmyindia.com/
    Authors
    MapMyIndia
    Area covered
    Estonia, Ascension and Tristan da Cunha, Nigeria, United States of America, Burkina Faso, South Sudan, Congo, Comoros, Niger, United Republic of
    Description

    800+ GIS Engineers with 25+ years of experience in geospatial, We provide following as Advance Geospatial Services:

    Analytics (AI) Change detection Feature extraction Road assets inventory Utility assets inventory Map data production Geodatabase generation Map data Processing /Classifications
    Contour Map Generation Analytics (AI) Change Detection Feature Extraction Imagery Data Processing Ortho mosaic Ortho rectification Digital Ortho Mapping Ortho photo Generation Analytics (Geo AI) Change Detection Map Production Web application development Software testing Data migration Platform development

    AI-Assisted Data Mapping Pipeline AI models trained on millions of images are used to predict traffic signs, road markings , lanes for better and faster data processing

    Our Value Differentiator

    Experience & Expertise -More than Two decade in Map making business with 800+ GIS expertise -Building world class products with our expertise service division & skilled project management -International Brand “Mappls” in California USA, focused on “Advance -Geospatial Services & Autonomous drive Solutions”

    Value Added Services -Production environment with continuous improvement culture -Key metrics driven production processes to align customer’s goals and deliverables -Transparency & visibility to all stakeholder -Technology adaptation by culture

    Flexibility -Customer driven resource management processes -Flexible resource management processes to ramp-up & ramp-down within short span of time -Robust training processes to address scope and specification changes -Priority driven project execution and management -Flexible IT environment inline with critical requirements of projects

    Quality First -Delivering high quality & cost effective services -Business continuity process in place to address situation like Covid-19/ natural disasters -Secure & certified infrastructure with highly skilled resources and management -Dedicated SME team to ensure project quality, specification & deliverables

  4. Modelling the Predicted Spread of a Carpet Sea Squirt ( Didemnum vexillum )...

    • metadata.naturalresources.wales
    Updated Nov 10, 2021
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    Natural Resources Wales (NRW) (2021). Modelling the Predicted Spread of a Carpet Sea Squirt ( Didemnum vexillum ) around the Welsh Coast (2011) [Dataset]. https://metadata.naturalresources.wales/geonetwork/srv/api/records/NRW_DS113445
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    Dataset updated
    Nov 10, 2021
    Dataset provided by
    Natural Resources Waleshttp://naturalresources.wales/
    Time period covered
    Jan 1, 2009 - Jan 28, 2011
    Area covered
    Description

    Didemnum vexillum is an invasive sea squirt that is not native to UK shores. It was first detected in Europe in 1991 and has since spread to several countries (including France, Ireland and the UK). The species has been located in Wales, Scotland and England and there is concern D. vexillum may have negative impacts on biodiversity and shellfish interests.

    Predicting the spread of an invasive species is crucial when assessing possible management actions. The potential impacts of the species on both biodiversity and commercial interests need to be studied and a cost-benefit approach taken to decide on the best course of management for that species.

    Geographic Information System (GIS) offers a fast, efficient way to map this predicted spread. The results of this mapping can then be used to focus on areas where D. vexillum may conflict with conservation and commercial interests.

  5. a

    Power Cost Equalization Statistical Report FY15

    • data-aideaaea-soa.hub.arcgis.com
    Updated Aug 18, 2019
    + more versions
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    AEA_SApgarkurtz (2019). Power Cost Equalization Statistical Report FY15 [Dataset]. https://data-aideaaea-soa.hub.arcgis.com/maps/power-cost-equalization-statistical-report-fy15
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    Dataset updated
    Aug 18, 2019
    Dataset authored and provided by
    AEA_SApgarkurtz
    Area covered
    Description

    The goal of Alaska Energy Authority's (AEA) Power Cost Equalization program is to provide economic assistance to customers in rural areas of Alaska where the kilowatt-hour charge for electricity can be three to five times higher than the charge in more urban areas of the state. Approximately 30% of all kWh’s sold by the participating utilities are eligible for PCE. PCE fundamentally improves Alaska’s standard of living by helping small rural areas maintain the availability of communications and the operation of basic infrastructure and systems, including water and sewer, incinerators, heat and light. PCE is a core element underlying the financial viability of centralized power generation in rural communities. The Legislature established different functions for AEA and the Regulatory Commission of Alaska (RCA) under Alaska Statutes 42.45.100-170, which govern PCE program responsibilities.AEA determines eligibility of community facilities and residential customers and authorizes payment to the electric utility. Commercial customers are not eligible to receive PCE credit. Participating utilities are required to reduce each eligible customer’s bill by the amount that the State pays for PCE.RCA determines if a utility is eligible to participate in the program and calculates the amount of PCE per kWh payable to the utility. More information about the RCA may be found at www.state.ak.us/rca .Power Cost Equalization Program GuidePCE Program Statutes AS 42.45.110PCE Eligibility and Certification Determination Request FormFor more information and for questions about this data, see: AEA Power Cost Equalization.Source data: PCE Statistical Reports By Utility FY2015

  6. a

    Power Cost Equalization Statistical Report FY16

    • data-aideaaea-soa.hub.arcgis.com
    Updated Jul 23, 2019
    + more versions
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    AEA_SApgarkurtz (2019). Power Cost Equalization Statistical Report FY16 [Dataset]. https://data-aideaaea-soa.hub.arcgis.com/datasets/AIDEAAEA-SOA::power-cost-equalization-statistical-report-fy16/about
    Explore at:
    Dataset updated
    Jul 23, 2019
    Dataset authored and provided by
    AEA_SApgarkurtz
    Area covered
    Description

    The goal of Alaska Energy Authority's (AEA) Power Cost Equalization program is to provide economic assistance to customers in rural areas of Alaska where the kilowatt-hour charge for electricity can be three to five times higher than the charge in more urban areas of the state. Approximately 30% of all kWh’s sold by the participating utilities are eligible for PCE. PCE fundamentally improves Alaska’s standard of living by helping small rural areas maintain the availability of communications and the operation of basic infrastructure and systems, including water and sewer, incinerators, heat and light. PCE is a core element underlying the financial viability of centralized power generation in rural communities. The Legislature established different functions for AEA and the Regulatory Commission of Alaska (RCA) under Alaska Statutes 42.45.100-170, which govern PCE program responsibilities.AEA determines eligibility of community facilities and residential customers and authorizes payment to the electric utility. Commercial customers are not eligible to receive PCE credit. Participating utilities are required to reduce each eligible customer’s bill by the amount that the State pays for PCE.RCA determines if a utility is eligible to participate in the program and calculates the amount of PCE per kWh payable to the utility. More information about the RCA may be found at www.state.ak.us/rca .Power Cost Equalization Program GuidePCE Program Statutes AS 42.45.110PCE Eligibility and Certification Determination Request FormFor more information and for questions about this data, see: AEA Power Cost Equalization.Source data: PCE Statistical Reports By Utility FY2016

  7. a

    Restricted Points

    • idpr-data-idaho.hub.arcgis.com
    Updated Oct 30, 2019
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    State of Idaho (2019). Restricted Points [Dataset]. https://idpr-data-idaho.hub.arcgis.com/datasets/idaho-snowmobile-trails2?layer=1
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    Dataset updated
    Oct 30, 2019
    Dataset authored and provided by
    State of Idaho
    Area covered
    Description

    The Idaho Snowmobile Trails Map is being use to develop an Idaho Snowmobile Trails Mapping App.

    This information was obtained from paper maps from different grooming programs around Idaho.

    daho Snowmobile Program

    The Idaho snowmobile program is funded through certificate of number fees purchased by snowmobilers. On November 1 of each year every snowmobile operated on private or public land must be numbered. Certificate of number fees are $32.50 for residents and non-residents and $62.50 for rental machines. Note: non-residents are not exempt from purchasing an Idaho snowmobile certificate of number.

    Designations

    To ensure the area you ride has enough funding to operate throughout the season, please designate your certificate of number fees to the county you ride.

    How is your certificate of number fee broken down?

    $1.50 vendor fee $1.00 snowmobile related Search and Rescue efforts 85% goes to the county operated snowmobile grooming programs Up to 15% goes to administration fees and the printing costs of registration stickers. What are the certificate of number fees used for?

    Grooming Parking lot plowing Signing Clearing groomed trails Avalanche classes New rider classes When does grooming occur?

    Grooming happens as weather, snow and safety permit. The below bullets briefly identify when programs groom trails.

    When safety of the equipment and operators are not a concern. When there is a minimum of 18” of snow in the parking lot. When avalanche conditions do not pose a safety concern for grooming operations. When the grooming temperatures are between -20⁰F and 40⁰F.

  8. a

    Community Food Resources

    • maps-cityofkingston.hub.arcgis.com
    • opendatakingston.cityofkingston.ca
    Updated Jan 17, 2025
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    The City of Kingston (2025). Community Food Resources [Dataset]. https://maps-cityofkingston.hub.arcgis.com/datasets/cityofkingston::community-food-resources/explore
    Explore at:
    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    The City of Kingston
    Area covered
    Description

    Household food insecurity is a serious public health issue that can negatively affect the health of individuals, families, and our communities. For this reason, the City of Kingston is providing a list of local food resources as part of the Community Development and Well-being team. This dataset includes resources for low to no cost food resources, including but not limited to Community Food Programs, location of Community Gardens, Cultural Food Stores, Farm stands and low cost grocery stores. The Corporation of the City of Kingston assumes no responsibility for inaccurate or inconsistent data set out in this map product. The City does not accept any responsibility for reliance thereon. The City does not make any representations or warranty, express or implied, in relation to the website including without limitations, as to the quality, merchantability and fitness for any use. Further, the City does not accept any responsibility for the accuracy of this information, nor is it responsible for any expenses or damages incurred, directly or indirectly, resulting from the use of this information.

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Bureau of Indian Affairs (BIA) (2025). BOGS Training Metrics [Dataset]. https://catalog.data.gov/dataset/bogs-training-metrics
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BOGS Training Metrics

Explore at:
Dataset updated
May 9, 2025
Dataset provided by
Bureau of Indian Affairshttp://www.bia.gov/
Description

Through the Department of the Interior-Bureau of Indian Affairs Enterprise License Agreement (DOI-BIA ELA) program, BIA employees and employees of federally-recognized Tribes may access a variety of geographic information systems (GIS) online courses and instructor-led training events throughout the year at no cost to them. These online GIS courses and instructor-led training events are hosted by the Branch of Geospatial Support (BOGS) or offered by BOGS in partnership with other organizations and federal agencies. Online courses are self-paced and available year-round, while instructor-led training events have limited capacity and require registration and attendance on specific dates. This dataset does not any training where the course was not completed by the participant or where training was cancelled or otherwise not able to be completed. Point locations depict BIA Office locations or Tribal Office Headquarters. For completed trainings where a participant location was not provided a point locations may not be available. For more information on the Branch of Geospatial Support Geospatial training program, please visit:https://www.bia.gov/service/geospatial-training.

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