100+ datasets found
  1. a

    GIS and Real Estate Data Field Descriptions

    • hub.arcgis.com
    Updated Mar 15, 2019
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    James City County, VA (2019). GIS and Real Estate Data Field Descriptions [Dataset]. https://hub.arcgis.com/documents/0c64c2af00bf4afb8fc646af689faeab
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    Dataset updated
    Mar 15, 2019
    Dataset authored and provided by
    James City County, VA
    Description

    Field descriptions for the James City County Parcel layer and the Data table.

  2. d

    Seattle Parks and Recreation GIS Map Layer Web Services URL - Track Field

    • catalog.data.gov
    • data.seattle.gov
    Updated Jan 31, 2025
    + more versions
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    data.seattle.gov (2025). Seattle Parks and Recreation GIS Map Layer Web Services URL - Track Field [Dataset]. https://catalog.data.gov/dataset/seattle-parks-and-recreation-gis-map-layer-web-services-url-track-field-dab39
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    data.seattle.gov
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Track Field dataset.

  3. a

    SAR Field Data Collection Form User Guide

    • gis-fema.hub.arcgis.com
    • hub.arcgis.com
    Updated Sep 10, 2018
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    NAPSG Foundation (2018). SAR Field Data Collection Form User Guide [Dataset]. https://gis-fema.hub.arcgis.com/documents/1c0d11cbfb724367814669355007f23c
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    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    NAPSG Foundation
    Description

    Overview: This document is a reference guide for users of the SAR Field Data Collection Form User Guide. The purpose is to provide a better understanding of how to use the form in the field.

    The underlying technology used with this form is likely to evolve and change over time, therefore technical user guides will be provided as appendices to this document.

    Background: The SAR Field Data Collection Form was created by an interdisciplinary group of first responders, decision-makers and technology specialists from across Federal, State, and Local Urban Search and Rescue Teams – the NAPSG Foundation SAR Working Group. If you have any questions or concerns regarding this document and associated materials, please send a note to comments@publicsafetygis.org.

    Purpose: The SAR Field Data Collection Form is intended to provide a standardized approach to the collection of information during disaster response alongside resource management and tracking of assets.The primary goal of this approach is to obtain situational awareness (where, when, what) for SAR Teams in the field across four relevant themes: Victims that may need assistance or have already been helped. Hazards that must be avoided or mitigated. Damage that have been rapidly assessed for damage, when time and the mission permits. Other mission critical intelligence that vary based on mission type. The secondary goal of this approach is to provide essential elements of information to those not currently on-scene of the disaster. Using the themes above, information and maps can be shared based on “need to know”. If you are a technology specialist looking to deploy this application on your own see the Deployment Kit.

  4. H

    Tutorial: How to use Google Data Studio and ArcGIS Online to create an...

    • hydroshare.org
    • dataone.org
    • +1more
    zip
    Updated Jul 31, 2020
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    Sarah Beganskas (2020). Tutorial: How to use Google Data Studio and ArcGIS Online to create an interactive data portal [Dataset]. http://doi.org/10.4211/hs.9edae0ef99224e0b85303c6d45797d56
    Explore at:
    zip(2.9 MB)Available download formats
    Dataset updated
    Jul 31, 2020
    Dataset provided by
    HydroShare
    Authors
    Sarah Beganskas
    License

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

    Description

    This tutorial will teach you how to take time-series data from many field sites and create a shareable online map, where clicking on a field location brings you to a page with interactive graph(s).

    The tutorial can be completed with a sample dataset (provided via a Google Drive link within the document) or with your own time-series data from multiple field sites.

    Part 1 covers how to make interactive graphs in Google Data Studio and Part 2 covers how to link data pages to an interactive map with ArcGIS Online. The tutorial will take 1-2 hours to complete.

    An example interactive map and data portal can be found at: https://temple.maps.arcgis.com/apps/View/index.html?appid=a259e4ec88c94ddfbf3528dc8a5d77e8

  5. d

    Seattle Parks and Recreation GIS Map Layer Web Services URL - Soccer Field...

    • catalog.data.gov
    • data.seattle.gov
    • +1more
    Updated Jan 31, 2025
    + more versions
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    data.seattle.gov (2025). Seattle Parks and Recreation GIS Map Layer Web Services URL - Soccer Field Outline [Dataset]. https://catalog.data.gov/dataset/seattle-parks-and-recreation-gis-map-layer-web-services-url-soccer-field-outline-b7eb5
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    data.seattle.gov
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Soccer Field Outline dataset.

  6. National Hydrography Dataset Plus Version 2.1

    • resilience.climate.gov
    • geodata.colorado.gov
    • +5more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). National Hydrography Dataset Plus Version 2.1 [Dataset]. https://resilience.climate.gov/maps/4bd9b6892530404abfe13645fcb5099a
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses. For more information on the NHDPlus dataset see the NHDPlus v2 User Guide.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territories not including Alaska.Geographic Extent: The United States not including Alaska, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: EPA and USGSUpdate Frequency: There is new new data since this 2019 version, so no updates planned in the futurePublication Date: March 13, 2019Prior to publication, the NHDPlus network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the NHDPlus Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, On or Off Network (flowlines only), Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original NHDPlus dataset. No data values -9999 and -9998 were converted to Null values for many of the flowline fields.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute. Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map. Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  7. d

    GIS Open Data Inspector (GODI) - Fields

    • datasets.ai
    23, 40, 55, 8
    Updated Nov 10, 2020
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    State of Maryland (2020). GIS Open Data Inspector (GODI) - Fields [Dataset]. https://datasets.ai/datasets/gis-open-data-inspector-godi-fields
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    40, 55, 8, 23Available download formats
    Dataset updated
    Nov 10, 2020
    Dataset authored and provided by
    State of Maryland
    Description

    Data record audit fields in feature classes within the MD DoIT iMap spatial database.

  8. University of Mississippi Field Station map GIS data

    • figshare.com
    png
    Updated Aug 2, 2016
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    Matthew Pintar (2016). University of Mississippi Field Station map GIS data [Dataset]. http://doi.org/10.6084/m9.figshare.3507272.v1
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    pngAvailable download formats
    Dataset updated
    Aug 2, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Matthew Pintar
    License

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

    Area covered
    Mississippi
    Description

    A map of the University of Mississippi Field Station and accompanying GIS data

  9. a

    Athletic Fields

    • data1-wcupagis.opendata.arcgis.com
    • data1-b2fba-wcupagis.opendata.arcgis.com
    Updated Apr 25, 2018
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    West Chester University GIS (2018). Athletic Fields [Dataset]. https://data1-wcupagis.opendata.arcgis.com/datasets/athletic-fields
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    Dataset updated
    Apr 25, 2018
    Dataset authored and provided by
    West Chester University GIS
    Area covered
    Description

    This layer presents the boundaries for the athletic fields that are under the ownership of West Chester University. | Publication Date: April 2018, Last Updated: April 2018 | West Chester University’s Geography and Planning department upholds its mission to provide spatial analysis expertise in order to solve many problems regarding spatial applications that facilitates research, sustainability goals, planning and communal integration.This dataset was curated by West Chester University’s Department of Geography and Planning and presented using West Chester University's Open GIS Data.

  10. a

    Minimum Standards for Field Observation of Vegetation and Related Properties...

    • gis.data.alaska.gov
    • alaska-geospatial-council-soa-dnr.hub.arcgis.com
    Updated Aug 23, 2022
    + more versions
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    Alaska Geospatial Office (2022). Minimum Standards for Field Observation of Vegetation and Related Properties v1.1 [Dataset]. https://gis.data.alaska.gov/documents/817be3b0405a42aea91cee0b92d77f98
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    Dataset updated
    Aug 23, 2022
    Dataset authored and provided by
    Alaska Geospatial Office
    Description

    The Vegetation Technical Working Group (VTWG) of the Alaska Geospatial Council developed the Minimum Standards for Field Observation of Vegetation and Related Properties Version 1.1 (August 2022) to help ensure that vegetation data collected as part of independent vegetation survey, mapping, monitoring, and classification projects can support the production of a statewide vegetation map from quantitative data and the continued development of the U.S. National Vegetation Classification.

  11. C

    DOMI Street Closures For GIS Mapping

    • data.wprdc.org
    csv, html
    Updated Dec 2, 2025
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    City of Pittsburgh (2025). DOMI Street Closures For GIS Mapping [Dataset]. https://data.wprdc.org/dataset/street-closures
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    html, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    City of Pittsburgh
    License

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

    Description

    Overview

    This dataset contains all DOMI Street Closure Permit data in the Computronix (CX) system from the date of its adoption (in May 2020) until the present. The data in each record can be used to determine when street closures are occurring, who is requesting these closures, why the closure is being requested, and for mapping the closures themselves. It is updated hourly (as of March 2024).

    Preprocessing/Formatting

    It is important to distinguish between a permit, a permit's street closure(s), and the roadway segments that are referenced to that closure(s).

    • The CX system identifies a street in segments of roadway. (As an example, the CX system could divide Maple Street into multiple segments.)

    • A single street closure may span multiple segments of a street.

    • The street closure permit refers to all the component line segments.

    • A permit may have multiple streets which are closed. Street closure permits often reference many segments of roadway.

    The roadway_id field is a unique GIS line segment representing the aforementioned segments of road. The roadway_id values are assigned internally by the CX system and are unlikely to be known by the permit applicant. A section of roadway may have multiple permits issued over its lifespan. Therefore, a given roadway_id value may appear in multiple permits.

    The field closure_id represents a unique ID for each closure, and permit_id uniquely identifies each permit. This is in contrast to the aforementioned roadway_id field which, again, is a unique ID only for the roadway segments.

    City teams that use this data requested that each segment of each street closure permit be represented as a unique row in the dataset. Thus, a street closure permit that refers to three segments of roadway would be represented as three rows in the table. Aside from the roadway_id field, most other data from that permit pertains equally to those three rows. Thus, the values in most fields of the three records are identical.

    Each row has the fields segment_num and total_segments which detail the relationship of each record, and its corresponding permit, according to street segment. The above example produced three records for a single permit. In this case, total_segments would equal 3 for each record. Each of those records would have a unique value between 1 and 3.

    The geometry field consists of string values of lat/long coordinates, which can be used to map the street segments.

    All string text (most fields) were converted to UPPERCASE data. Most of the data are manually entered and often contain non-uniform formatting. While several solutions for cleaning the data exist, text were transformed to UPPERCASE to provide some degree of regularization. Beyond that, it is recommended that the user carefully think through cleaning any unstructured data, as there are many nuances to consider. Future improvements to this ETL pipeline may approach this problem with a more sophisticated technique.

    Known Uses

    These data are used by DOMI to track the status of street closures (and associated permits).

    Further Documentation and Resources

    An archived dataset containing historical street closure records (from before May of 2020) for the City of Pittsburgh may be found here: https://data.wprdc.org/dataset/right-of-way-permits

  12. G

    Utility GIS Field Data Collection Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
    + more versions
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    Growth Market Reports (2025). Utility GIS Field Data Collection Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/utility-gis-field-data-collection-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Utility GIS Field Data Collection Market Outlook



    As per our latest research, the global Utility GIS Field Data Collection market size in 2024 stands at USD 1.62 billion, reflecting the sector’s robust expansion driven by the digital transformation of utility infrastructure management. The market is experiencing a strong compound annual growth rate (CAGR) of 11.2% from 2025 to 2033. By 2033, the market is forecasted to reach USD 4.22 billion, underpinned by rising investments in smart grid technologies, increasing regulatory mandates for accurate geospatial data, and the growing need for efficient asset management across electric, water, gas, and telecommunication utilities.




    The primary growth factor for the Utility GIS Field Data Collection market is the accelerating adoption of Geographic Information Systems (GIS) in field operations to enhance the accuracy, efficiency, and reliability of utility asset management. Utilities across the globe are increasingly leveraging advanced GIS-enabled field data collection tools to streamline processes such as asset mapping, network inspections, and maintenance scheduling. The integration of real-time data collection with cloud-based GIS platforms enables field workers to capture, update, and synchronize geospatial data instantaneously, reducing manual errors and operational downtime. This digital shift is further fueled by the proliferation of mobile devices and IoT sensors, which allow utilities to gather granular data from remote locations, supporting predictive maintenance and rapid response to outages or infrastructure issues.




    Another critical driver is the mounting regulatory pressure and compliance requirements imposed by government agencies and industry bodies, particularly in regions with aging utility infrastructure. Utilities are mandated to maintain accurate, up-to-date geospatial records to ensure public safety, environmental protection, and efficient resource allocation. The deployment of GIS field data collection solutions facilitates compliance by providing comprehensive audit trails, real-time reporting, and seamless integration with enterprise asset management (EAM) systems. As governments worldwide invest in smart city initiatives and infrastructure modernization, the demand for advanced GIS capabilities in field data collection is expected to surge, creating new opportunities for software vendors, hardware providers, and service integrators.




    Moreover, the growing complexity of utility networks, coupled with the increasing frequency of extreme weather events and natural disasters, necessitates robust field data collection systems for rapid damage assessment and recovery planning. GIS-based field data collection tools empower utilities to quickly map affected areas, prioritize restoration efforts, and communicate effectively with stakeholders. The ability to overlay real-time field data with historical geospatial information enhances situational awareness and supports data-driven decision-making. As utilities strive to enhance operational resilience and customer service, the adoption of advanced GIS field data collection solutions is poised to become a strategic imperative.




    Regionally, North America leads the Utility GIS Field Data Collection market, accounting for over 38% of the global market share in 2024, followed by Europe and Asia Pacific. The United States and Canada are at the forefront of adoption, driven by significant investments in grid modernization and stringent regulatory frameworks. Europe is witnessing steady growth, propelled by the digital transformation of water and gas utilities and the implementation of the European Green Deal. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, expanding utility networks, and government-led smart infrastructure projects in countries such as China, India, and Australia. Latin America and the Middle East & Africa are also showing increasing interest in GIS field data collection solutions to address infrastructure challenges and improve service delivery.




    <

  13. e

    ArcGIS field apps in schools

    • gisinschools.eagle.co.nz
    Updated Apr 16, 2020
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    kylie_esriEd (2020). ArcGIS field apps in schools [Dataset]. https://gisinschools.eagle.co.nz/items/dc78c4c75b2d42598553ad4a52a246d3
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    Dataset updated
    Apr 16, 2020
    Dataset authored and provided by
    kylie_esriEd
    Description

    Students want to add their own information to the map. Exploring their world through maps is interesting... but there is something magical about seeing a picture you took and an observation you made displayed on a map. And what better place to explore your world than out in it, whether around your school, in your neighborhood, or in your backyard? With the ArcGIS field apps for data collection, young (and old) learners can collect data about the world around them.

  14. A

    Seattle Parks and Recreation GIS Map Layer Shapefile - Football Field...

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, json, kml, zip
    Updated Mar 6, 2018
    + more versions
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    United States (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - Football Field Outline [Dataset]. https://data.amerigeoss.org/ro/dataset/seattle-parks-and-recreation-gis-map-layer-football-field
    Explore at:
    zip, kml, csv, jsonAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    United States
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - Football Field Outline

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/16

  15. Community Map

    • data.baltimorecity.gov
    • noveladata.com
    • +11more
    Updated Feb 16, 2019
    + more versions
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    Esri (2019). Community Map [Dataset]. https://data.baltimorecity.gov/maps/e64f06e8d912465a96f9ea9bfdb72676
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    Dataset updated
    Feb 16, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The Community Map (World Edition) web map provides a customized world basemap that is uniquely symbolized and optimized to display special areas of interest (AOIs) that have been created and edited by Community Maps contributors. These special areas of interest include landscaping features such as grass, trees, and sports amenities like tennis courts, football and baseball field lines, and more. This basemap, included in the ArcGIS Living Atlas of the World, uses the Community vector tile layer. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layer items referenced in this map.

  16. Focus on Geodatabases in ArcGIS Pro

    • dados-edu-pt.hub.arcgis.com
    Updated Aug 13, 2020
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    Esri Portugal - Educação (2020). Focus on Geodatabases in ArcGIS Pro [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/focus-on-geodatabases-in-arcgis-pro
    Explore at:
    Dataset updated
    Aug 13, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Portugal - Educação
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Focus on Geodatabases in ArcGIS Pro introduces readers to the geodatabase, the comprehensive information model for representing and managing geographic information across the ArcGIS platform.Sharing best practices for creating and maintaining data integrity, chapter topics include the careful design of a geodatabase schema, building geodatabases that include data integrity rules, populating geodatabases with existing data, working with topologies, editing data using various techniques, building 3D views, and sharing data on the web. Each chapter includes important concepts with hands-on, step-by-step tutorials, sample projects and datasets, 'Your turn' segments with less instruction, study questions for classroom use, and an independent project. Instructor resources are available by request.AUDIENCEProfessional and scholarly.AUTHOR BIODavid W. Allen has been working in the GIS field for over 35 years, the last 30 with the City of Euless, Texas, and has seen many versions of ArcInfo and ArcGIS come along since he started with version 5. He spent 18 years as an adjunct professor at Tarrant County College in Fort Worth, Texas, and now serves as the State Director of Operations for a volunteer emergency response group developing databases and templates. Mr. Allen is the author of GIS Tutorial 2: Spatial Analysis Workbook (Esri Press, 2016).Pub Date: Print: 6/17/2019 Digital: 4/29/2019 Format: PaperbackISBN: Print: 9781589484450 Digital: 9781589484467 Trim: 7.5 x 9.25 in.Price: Print: $59.99 USD Digital: $59.99 USD Pages: 260

  17. w

    Seattle Parks and Recreation GIS Map Layer Shapefile - Lacrosse Field

    • data.wu.ac.at
    csv, json, kml, kmz +1
    Updated Mar 6, 2018
    + more versions
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    City of Seattle (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - Lacrosse Field [Dataset]. https://data.wu.ac.at/schema/data_gov/Zjk3ZjE5YWUtZjVlMi00ZjBlLThlNDktMDQyMDg0MGU3ZTJl
    Explore at:
    json, csv, zip, kmz, kmlAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    City of Seattle
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - Lacrosse Field

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/26

  18. 03.5 Simplify Field Data Workflows with Collector for ArcGIS

    • hub.arcgis.com
    Updated Feb 18, 2017
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    Iowa Department of Transportation (2017). 03.5 Simplify Field Data Workflows with Collector for ArcGIS [Dataset]. https://hub.arcgis.com/documents/9f791d41ee5b44aab7403c2b1f70379c
    Explore at:
    Dataset updated
    Feb 18, 2017
    Dataset authored and provided by
    Iowa Department of Transportationhttps://iowadot.gov/
    License

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

    Description

    In this seminar, the presenters will introduce essential concepts of Collector for ArcGIS and show how this app integrates with other components of the ArcGIS platform to provide a seamless data management workflow. You will also learn how anyone in your organization can easily capture and update data in the field, right from their smartphone or tablet.This seminar was developed to support the following:ArcGIS Desktop 10.2.2 (Basic)ArcGIS OnlineCollector for ArcGIS (Android) 10.4Collector for ArcGIS (iOS) 10.4Collector for ArcGIS (Windows) 10.4

  19. MRGP Mobile Map

    • anrgeodata.vermont.gov
    Updated Jan 20, 2018
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    Vermont Agency of Natural Resources (2018). MRGP Mobile Map [Dataset]. https://anrgeodata.vermont.gov/maps/fe11c5ffd0d04eeca968115d84dacf90
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    Dataset updated
    Jan 20, 2018
    Dataset provided by
    Vermont Agency Of Natural Resourceshttp://www.anr.state.vt.us/
    Authors
    Vermont Agency of Natural Resources
    Area covered
    Description

    MRGP NewsIf you already have an ArcGIS named user, join the MRGP Group. Doing so allows you complete the permit requirements under your organization's umbrella. As a group member you get access to the all the MRGP items without having to log-in and log-out. If you don’t have an ArcGIS member account please contact Chad McGann (MRGP Program Lead) at 802-636-7239 or your Regional Planning Commission’s Transportation Planner. April 9, 2025. Conditional logic in webform for the newly published Open Drainage Survey was not calculating properly leading to some records with "Undetermined" status and priority. Records have been rescored and survey was republished with corrective logic. Field App version not impacted.March 11, 2025. The Road Erosion Inventory Survey123 questions for Open Drainage Roads are being streamlined to make assessments faster. Coming April 1st, the survey will be changed to only ask if there is erosion depending on if the corresponding practice type is failing. This aims at using erosion as an indicator to measure the success of each of the four Open Drainage road elements to handle stormwater: crown, berm, drainage, turnout.March 29, 2023. For MRGP permitting, Lyndonville Village (GEOID 5041950) has merged with Lyndonville Town (GEOID 5000541725). 121 segments and 14 outlets have been updated to reflect the administrative change. December 8, 2023. The Open Drainage Road Inventory survey has been updated for the 2024 field season. We added and modified a few notes for clarification and corrected an issue with users submitting incomplete surveys. See FAQ section below for how to delete the old survey and download the new one. The app will notify you there's an update, and execute it, but we've experienced select-one questions with duplicate entries.November 29, 2023. The Closed Drainage Road Inventory survey has been updated for the 2024 field season. There's a new outlet status option called "Not accessible" and conditional follow-up question. This has been added to support MS4 requirements. See FAQ section below for how to delete the old survey and download the new one. The app will notify you there's an update and execute it for you but we've experienced select-one questions with duplicate entries. Reporter for MRGPThe Reporter for MRGP doesn't require you to download any apps to complete an inventory; all you need is an internet connection and web browser. The Reporter includes culverts and bridges from VTCULVERTS, town highways from Vtrans, current status for MRGP segments and outlets and second cycle progress. The Reporter is a great way to submit work completed to meet the MRGP standards. MRGP Fieldworker SolutionStep 1: Download the free mobile appsFor fieldworkers to collect and submit data to VT DEC, two free apps are required: ArcGIS Field Maps and Survey123. ArcGIS Field Maps is used first to locate the segment or outlet for inventory, and Survey123, for completing the Road Erosion Inventory.• You can download ArcGIS Fields Maps and Survey123 from the Google Play Store.• You can download ArcGIS Field Maps and Survey123 from Apple Store.Step 2: Sign into the mobile appYou will need appropriate credentials to access fieldworker solution, Please contact your Regional Planning Commission’s Transportation Planner or Chad McGann (MRGP Program Lead) at 802-636-7239.Open Field Maps, select ‘ArcGIS Online’ as shown below, and enter the user name and password. The credential is saved unless you sign out. Step 3: Open the MRGP Mobile MapIf you’re working in an area that has a reliable data connection (e.g. LTE or 4G), open the map below by selecting it.Step 4: Select a road segment or outlet for inventoryUsing your location, highlighted in red below, select the segment or outlet you need to inventory, and select 'Update Road Segment Status' from the pop-up to launch Survey123.

    Step 5: Complete the Road Erosion Inventory and submit inventory to DECSelecting 'Update Road Segment Status' opens Survey123, downloads the relevant survey and pre-populates the REI with important information for reporting to DEC. You will have to enter the same username and password to access the REI forms. The credential is saved unless you sign out of Survey123.Complete the survey using the appropriate supplement below and submit the assessment directly to VT DEC.Paved Roads with Catch Basin SupplementPaved and Gravel Roads with Drainage Ditches Supplement

    Step 6: Repeat!Go back to the ArcGIS Field Maps and select the next segment for inventory and repeat steps 1-5.

    If you have question related to inventory protocol reach out to Chad McGann, MRGP Program Lead, at chad.mcgann@vermont.gov, 802-636-7396.If you have questions about implementing the mobile data collection piece please contact Ryan Knox, ADS-ANR IT, at ryan.knox@vermont.gov, (802) 793-0297

    How do I update a survey when a new one is available?While the Survey123 app will notify you and update it for you, we've experienced some select-one questions having duplicate choices. It's a best practice to delete the old survey and download the new one. See this document for step-by-step instructions.I already have an ArcGIS member account with my organization, can I use it to complete MRGP inventories?Yes! The MRGP solution is shared within an ArcGIS Group that allows outside organizations. Click "join this group" and send an request to the ANR GIS team. This will allow you complete MRGP requirements for the REI and stay logged into your organization. Win-win situation for us both!AGOL Group: https://www.arcgis.com/home/group.html?id=027e1696b97a48c4bc50cbb931de992d#overviewThe location where I'm doing inventory does not have data coverage (LTE or 4G). What can I do?ArcGIS Field Maps allows you take map areas offline when you think there will be spotty or no data coverage. I made a video to demonstrate the steps for taking map areas offline - https://youtu.be/ScpQnenDp7wSurvey123 operates offline by default but you need to download the survey. My recommendation is to test the fieldworker solution (Steps 1-5) before you go into the field but don't submit the test survey.How do remove an offline area and create a new one? Check out this how-to document for instructions. Delete and Download Offline AreaWhere can I download the Road Erosion Scoring shown on the the Atlas? You can download the scoring for both outlets and road segments through the VT Open Geodata Portal.https://geodata.vermont.gov/search?q=mrgpHow do I use my own map for launching the official MRGP REI survey form? You can use the following custom url for launching Survey123, open the REI and prepopulate answers in the form. More information is here. TIP: add what's below directly in the HTML view of the popup not the link as described in the post I provided.

    Segments (lines):Update Road Segment StatusOutlets (points):Update Outlet Status

    How do I save my name and organization information used in subsequent surveys? Watch this short video or execute the steps below:

    Open Survey123 and open a blank REI form (Collect button) Note: it's important to open a blank form so you don't save the same segment id for all your surveys Fill-in your 'Name' and 'Organization' and clear the 'Date of Assessment field' (x button). Using the favorites menu in the top-right corner you can use the current state of your survey to 'Set as favorite answers.' Close survey and 'Save this survey in Drafts.' Use Collector to launch survey from selected feature (segment or outlet). Using the favorites menu again, 'Paste answers from favorite.

    What if the map doesn't have the outlet or road segment I need to inventory for the MRGP? Go Directly to Survey123 and complete the appropriate Road Erosion Inventory and submit the data to DEC. The survey includes a Geopoint (location) that we can use to determine where you completed the inventory.

    Where can I view the Road Erosion Inventories completed with Survey123? Use the web map below to view second cycle inventories completed with Survey123. The first cycle inventories can be downloaded below. First cycle inventories are those collected 2018-2022.Web map - Completed Road Erosion Inventories for MRGPWhere can I download the 2020-2022 data collected with Survey123?Road Segments (lines) - https://anrmaps.vermont.gov/websites/MRGP/MRGP2020_segments.zipOutlets (points) - https://anrmaps.vermont.gov/websites/MRGP/MRGP2020_outlets.zipWhere can I download the 2019 data collected with Survey123?

    Road Segments (lines) -

  20. Prediction of Potato Crop Yield Using Precision Agriculture Techniques

    • plos.figshare.com
    tiff
    Updated May 31, 2023
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    Khalid A. Al-Gaadi; Abdalhaleem A. Hassaballa; ElKamil Tola; Ahmed G. Kayad; Rangaswamy Madugundu; Bander Alblewi; Fahad Assiri (2023). Prediction of Potato Crop Yield Using Precision Agriculture Techniques [Dataset]. http://doi.org/10.1371/journal.pone.0162219
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    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Khalid A. Al-Gaadi; Abdalhaleem A. Hassaballa; ElKamil Tola; Ahmed G. Kayad; Rangaswamy Madugundu; Bander Alblewi; Fahad Assiri
    License

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

    Description

    Crop growth and yield monitoring over agricultural fields is an essential procedure for food security and agricultural economic return prediction. The advances in remote sensing have enhanced the process of monitoring the development of agricultural crops and estimating their yields. Therefore, remote sensing and GIS techniques were employed, in this study, to predict potato tuber crop yield on three 30 ha center pivot irrigated fields in an agricultural scheme located in the Eastern Region of Saudi Arabia. Landsat-8 and Sentinel-2 satellite images were acquired during the potato growth stages and two vegetation indices (the normalized difference vegetation index (NDVI) and the soil adjusted vegetation index (SAVI)) were generated from the images. Vegetation index maps were developed and classified into zones based on vegetation health statements, where the stratified random sampling points were accordingly initiated. Potato yield samples were collected 2–3 days prior to the harvest time and were correlated to the adjacent NDVI and SAVI, where yield prediction algorithms were developed and used to generate prediction yield maps. Results of the study revealed that the difference between predicted yield values and actual ones (prediction error) ranged between 7.9 and 13.5% for Landsat-8 images and between 3.8 and 10.2% for Sentinel-2 images. The relationship between actual and predicted yield values produced R2 values ranging between 0.39 and 0.65 for Landsat-8 images and between 0.47 and 0.65 for Sentinel-2 images. Results of this study revealed a considerable variation in field productivity across the three fields, where high-yield areas produced an average yield of above 40 t ha-1; while, the low-yield areas produced, on the average, less than 21 t ha-1. Identifying such great variation in field productivity will assist farmers and decision makers in managing their practices.

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James City County, VA (2019). GIS and Real Estate Data Field Descriptions [Dataset]. https://hub.arcgis.com/documents/0c64c2af00bf4afb8fc646af689faeab

GIS and Real Estate Data Field Descriptions

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Dataset updated
Mar 15, 2019
Dataset authored and provided by
James City County, VA
Description

Field descriptions for the James City County Parcel layer and the Data table.

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