16 datasets found
  1. Getting to Know Web GIS, fourth edition

    • dados-edu-pt.hub.arcgis.com
    Updated Aug 13, 2020
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    Esri Portugal - Educação (2020). Getting to Know Web GIS, fourth edition [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/getting-to-know-web-gis-fourth-edition
    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

    Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.Building on the foundation of the previous three editions, Getting to Know Web GIS, fourth edition,features the latest advances in Esri’s entire Web GIS platform, from the cloud server side to the client side.Discover and apply what’s new in ArcGIS Online, ArcGIS Enterprise, Map Viewer, Esri StoryMaps, Web AppBuilder, ArcGIS Survey123, and more.Learn about recent Web GIS products such as ArcGIS Experience Builder, ArcGIS Indoors, and ArcGIS QuickCapture. Understand updates in mobile GIS such as ArcGIS Collector and AuGeo, and then build your own web apps.Further your knowledge and skills with detailed sections and chapters on ArcGIS Dashboards, ArcGIS Analytics for the Internet of Things, online spatial analysis, image services, 3D web scenes, ArcGIS API for JavaScript, and best practices in Web GIS.Each chapter is written for immediate productivity with a good balance of principles and hands-on exercises and includes:A conceptual discussion section to give you the big picture and principles,A detailed tutorial section with step-by-step instructions,A Q/A section to answer common questions,An assignment section to reinforce your comprehension, andA list of resources with more information.Ideal for classroom lab work and on-the-job training for GIS students, instructors, GIS analysts, managers, web developers, and other professionals, Getting to Know Web GIS, fourth edition, uses a holistic approach to systematically teach the breadth of the Esri Geospatial Cloud.AUDIENCEProfessional and scholarly. College/higher education. General/trade.AUTHOR BIOPinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won specialachievement awards. Fu is the lead author of Web GIS: Principles and Applications (Esri Press, 2010).Pub Date: Print: 7/21/2020 Digital: 6/16/2020 Format: Trade paperISBN: Print: 9781589485921 Digital: 9781589485938 Trim: 7.5 x 9 in.Price: Print: $94.99 USD Digital: $94.99 USD Pages: 490TABLE OF CONTENTSPrefaceForeword1 Get started with Web GIS2 Hosted feature layers and storytelling with GIS3 Web AppBuilder for ArcGIS and ArcGIS Experience Builder4 Mobile GIS5 Tile layers and on-premises Web GIS6 Spatial temporal data and real-time GIS7 3D web scenes8 Spatial analysis and geoprocessing9 Image service and online raster analysis10 Web GIS programming with ArcGIS API for JavaScriptPinde Fu | Interview with Esri Press | 2020-07-10 | 15:56 | Link.

  2. a

    Public Information Survey Form - NAPSG Tutorial

    • prep-response-portal-napsg.hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    Updated Nov 7, 2019
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    NAPSG Foundation (2019). Public Information Survey Form - NAPSG Tutorial [Dataset]. https://prep-response-portal-napsg.hub.arcgis.com/documents/7fd46188a33d4089918fa5476f3ef4dd
    Explore at:
    Dataset updated
    Nov 7, 2019
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Description

    Crowdsourcing is a way to obtain information from the public by enlisting the services of the general public or volunteers via the Internet. This can be a valuable source of information during a disaster if it is done in a way that answers important questions, for instance:

    • Where are roads obstructed by standing water?

    • What homes have individuals that need assistance evacuating?

    • Where are debris that needs to be removed?

    Tutorial Audience: GIS / Technology SpecialistsEnd User Audience: Emergency Management Planning and Operations Staff

    Problem: The emergency management agency has requested that you prepare a crowdsourcing solution in advance of the next disaster. The data collected must be structured in a way so that it is informative and actionable for decision makers. Your crowdsourcing app should be:

    • Fast and easy to use for the Public.

    • The database behind it should contain structured information that answers specific questions for emergency managers (e.g. Where are the hazards? How severe is it? Where should we focus our resources?).

    • Allows for submitting attachments such as photos.

    Solution: Survey123 Web FormRequirements: You will need a license for ArcGIS Online to complete this tutorial.Note: This tutorial works with the Public Information Application Tutorial.

  3. a

    MRA Mission Data Schema Template

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 18, 2018
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    Mountain Rescue Association (2018). MRA Mission Data Schema Template [Dataset]. https://hub.arcgis.com/content/70dcc90274be4cdf99000da12660ea40
    Explore at:
    Dataset updated
    Jun 18, 2018
    Dataset authored and provided by
    Mountain Rescue Association
    License

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

    Description

    PurposeTo help search and rescue (SAR) volunteer teams and their partners collect mission data. By collecting information in a consistent manner and with spatially explicit tools, SAR agencies can better answer key questions:How many incidents have we responded to?Where are there high concentrations of incidents by type? How many total hours were volunteered in a given year?Audience Public Safety GIS Specialists who are deploying mission data collection solutions.What Is It? The Mountain Rescue Association has provided their Mission Data Collection Schema as a public resource. This is a zip file that contains the XLSForm, example look up tables, and schema fields in a text document. If you want to use ArcGIS Online and Survey123 Connect to deploy this form, please see documentation provided here https://doc.arcgis.com/en/survey123/desktop/create-surveys/xlsformessentials.htmFor DevelopersSee the GitHub repository https://github.com/cmrRose/sar-mission-data-entry

  4. Municipal Consent Permit Template.docx

    • municipal-consent-permits-hamilton.hub.arcgis.com
    • corridor-management-hamilton.hub.arcgis.com
    Updated Mar 14, 2022
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    Geomatics & Corridor Management - ArcGIS Online (2022). Municipal Consent Permit Template.docx [Dataset]. https://municipal-consent-permits-hamilton.hub.arcgis.com/documents/395368b190e043ef900310dbe1d710f9
    Explore at:
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    https://arcgis.com/
    Authors
    Geomatics & Corridor Management - ArcGIS Online
    Description

    This Document is the Template used to Print MC Permits. Using Survey123 Data Application, You can filter data using the APP-MC application ObjectID number and then under Report select this Report Template to generate a pdf permit output. For the File name on output use the following syntax to generate a consistent file naming convention. ${MC_Permit_Number} ${Utility_Company_Name} ${Associated_Utility_WO}

  5. NZ Bay of Plenty DTM 25m (Raster)

    • hub.arcgis.com
    • anrgeodata.vermont.gov
    • +1more
    Updated Jul 25, 2022
    + more versions
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    National Institute of Water and Atmospheric Research (2022). NZ Bay of Plenty DTM 25m (Raster) [Dataset]. https://hub.arcgis.com/documents/36cb18c3db034aafa16c578e952a16a0
    Explore at:
    Dataset updated
    Jul 25, 2022
    Dataset authored and provided by
    National Institute of Water and Atmospheric Researchhttp://www.niwa.co.nz/
    License

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

    Area covered
    Bay Of Plenty, New Zealand
    Description

    A bathymetry model of the Bay of Plenty (New Zealand) region in 25 m grid resolution. Bathymetry is compiled from multibeam and single-beam data sourced from surveys from NIWA and Land Information New Zealand (LINZ), as well as international surveys by vessels from United States of America and Germany.This is 25m Bay of Plenty Digital Terrain Model Raster File for download (ca 200 MB). You can download this file and use it in further analyses or for mapping.Alternatively, you can avoid the download if you prefer to stream the DTM as a web service from this URL https://niwa.maps.arcgis.com/home/item.html?id=3a1d7ee29dac42e3ba6ec4efeeafbacf using an ArcGIS Client application such as ArcGIS Pro, ArcGIS Maps for Office, a Web map viewer (browser) or Survey123, FieldMaps etc.This raster has been used for the production of:Lamarche, G., Guntz, M., Mackay, K., Pallentin, A., and Mackay, E., 2018. Bay of Plenty. NIWA Miscellaneous Chart Series 109._Item Page Created: 2022-07-25 04:00 Item Page Last Modified: 2025-02-08 19:17Owner: NIWA_OpenData

  6. Region 3

    • louisiana-watershed-initiative-presentation-data-csrs-gis.hub.arcgis.com
    Updated Jun 8, 2020
    + more versions
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    CSRS's ArcGIS Online (2020). Region 3 [Dataset]. https://louisiana-watershed-initiative-presentation-data-csrs-gis.hub.arcgis.com/feedback/surveys/2ac91d85507347ef9311cae86a4bcb81
    Explore at:
    Dataset updated
    Jun 8, 2020
    Dataset provided by
    https://arcgis.com/
    Authors
    CSRS's ArcGIS Online
    Description

    This template includes all XLSForm features supported in Survey123 for ArcGIS.

  7. AFSI Hub 2.0 Feedback Survey form

    • wildland-fires-nasa.hub.arcgis.com
    Updated Apr 17, 2023
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    NASA ArcGIS Online (2023). AFSI Hub 2.0 Feedback Survey form [Dataset]. https://wildland-fires-nasa.hub.arcgis.com/datasets/afsi-hub-2-0-feedback-survey-form
    Explore at:
    Dataset updated
    Apr 17, 2023
    Dataset provided by
    https://arcgis.com/
    Authors
    NASA ArcGIS Online
    Area covered
    Earth
    Description

    This Survey123 form is for user feedback. Users will be able to submit feedback on the AFSI Hub. This feedback provided from this application allows site creators and administrators to address issues, make improvements and understand the overall perspective of users.

  8. Automated application processing in Bentheim County

    • coe-digital-government-esridech.hub.arcgis.com
    Updated Jan 21, 2020
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    ArcGIS Demoportal Esri Deutschland & Schweiz (2020). Automated application processing in Bentheim County [Dataset]. https://coe-digital-government-esridech.hub.arcgis.com/datasets/automated-application-processing-in-bentheim-county
    Explore at:
    Dataset updated
    Jan 21, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    ArcGIS Demoportal Esri Deutschland & Schweiz
    Area covered
    County of Bentheim
    Description

    Families fill out the online survey using any desktop computer or mobile device, since Survey123 for ArcGIS works with all web browsers and devices. They enter the student’s name, date of birth, address, and preferred school, then upload a photo for identification. On a mobile device, the photo could even be a quick selfie taken as the form is filled out.

  9. a

    GIS Day 2020

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • egisdata-dallasgis.hub.arcgis.com
    • +1more
    Updated Sep 30, 2020
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    City of Dallas GIS Services (2020). GIS Day 2020 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/61a0eb1bfb104ec580dc9c27bc8011b2
    Explore at:
    Dataset updated
    Sep 30, 2020
    Dataset authored and provided by
    City of Dallas GIS Services
    Area covered
    Description

    This is the view layer for use in dashboards of an editable layer that is populated using an ArcGIS Online Survey123 document.

  10. a

    Utah Fence Mapping Priority Areas

    • utahdnr.hub.arcgis.com
    Updated Jan 12, 2023
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    Utah DNR Online Maps (2023). Utah Fence Mapping Priority Areas [Dataset]. https://utahdnr.hub.arcgis.com/feedback/surveys/0cc5dbd88fbc431aac5aeb8cfc621808
    Explore at:
    Dataset updated
    Jan 12, 2023
    Dataset authored and provided by
    Utah DNR Online Maps
    Area covered
    Utah
    Description

    The Utah Division of Wildlife Resources, along with its federal, local and non-governmental organization partners, are looking to create a statewide fence dataset to improve the management of both wild and domestic animals on public and private lands. We want to document fences that could be modified to improve animal movement and survival using electronic tools and generate support for the project from partners and the public. We are considering which areas should be our next priority areas, and would like your input.

  11. Eklutna Spawning Survey results

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gis-fws.opendata.arcgis.com
    Updated Sep 29, 2023
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    U.S. Fish & Wildlife Service (2023). Eklutna Spawning Survey results [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/b3e04b428d194538a8749a34ce685d92
    Explore at:
    Dataset updated
    Sep 29, 2023
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Earth
    Description

    The Eklutna River is an anadromous river in South Central Alaska, whose salmon runs have provided important subsistence fishing for Native Alaskan's for millennia. US Fish and Wildlife Service and our partners at the Native Village of Eklutna are hoping to better document the locations of returning fish and the behaviors they are exhibiting during fall river surveys. Spawning behaviors, fish condition, and species are recorded along with a time and georeferenced point on the map. This survey will also help manage photos and data in a tidy structure. Making this query-able through ArcGIS Online will allow for easy data management and up to date sharing between USFWS and NVE. This template includes all XLSForm features supported in ArcGIS Survey123 and was created in Survey123 Connect.

  12. Jack and Laura Dangermond Preserve: A conservation laboratory in a last...

    • maps-tnc.hub.arcgis.com
    • geospatial.tnc.org
    • +2more
    Updated Oct 16, 2019
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    The Nature Conservancy (2019). Jack and Laura Dangermond Preserve: A conservation laboratory in a last remaining stronghold of coastal California wilderness [Dataset]. https://maps-tnc.hub.arcgis.com/documents/8421134a879a424089ec91a90f54f190
    Explore at:
    Dataset updated
    Oct 16, 2019
    Dataset authored and provided by
    The Nature Conservancyhttp://www.nature.org/
    Area covered
    Coastal California, California
    Description

    The Jack and Laura Dangermond Preserve protects eight miles of last-of-its-kind wild coastline and more than 24,000 acres of oak woodland, chaparral and grassland habitats in Southern California. The preserve, located at Point Conception, Southern California’s “elbow” where the coast bends northward to San Francisco (called “the last perfect place” by the Los Angeles Times) presents significant opportunities for geospatial innovation, among which is the restoration of oak woodlands.

    Coast live oaks are among California’s most iconic trees, unique in their ability to thrive in the dynamic, diverse environment. Drought resistant, adapted to fire, and evergreen with a dense, hemispherical crown and complex architecture of branches, they are a keystone species of coastal woodlands and the dominant feature on more than 6,000 acres of the preserve’s land. However, despite its wide distribution and because of its unique habitat characteristics, areas of the coastal oak woodland need serious attention.

    The large-scale restoration project is driven by orders from the California Coastal Commission that were transferred to The Nature Conservancy (TNC) when it purchased the property in 2017. Using coast live oak acorns and seedlings collected from the preserve, restoration managers are beginning the project by re-planting 200 acres. To monitor the project’s health and progress, TNC enlisted the interconnected suite of ArcGIS Apps for the field including Collector, Survey 123 and Operations Dashboards, coordinated and hosted through ArcGIS Online. When used in conjunction, these applications enable project teams to capture critical spatial information on the location, health and condition of each tree planted. The ongoing work is conducted by a spatially distributed team of project managers and scientists who access real-time information that supports timely decision-making. Further, the map and report structure allow for the generation of complete annual monitoring reports that are required by the Coastal Commission.

    The trees will be monitored for five years; metrics on each individual will be collected annually and updated live in the operations dashboard. This project, one of many taking place on the preserve, relies on quick, reliable data capture and delivery in order to ensure that the preserve remains the last perfect place in California.

    Region: Jack and Laura Dangermond Preserve, Southern CaliforniaPartners: Esri, Padre Associates Inc.

    Web link: https://www.nature.org/en-us/explore/magazine/magazine-articles/the-crown-of-the-coast/Contact: Kelly Easterday (kelly.easterday@tnc.org)

    Software: ArcGIS Pro, Adobe Illustrator, Photoshop, ArcGIS Online, Collector, Survey 123, Operations Dashboard

    Data sources: Esri basemaps, Field data collected by Padre Associates Inc

  13. CDOT Buildings and Facilities

    • hub.arcgis.com
    • geodata.colorado.gov
    Updated Feb 7, 2020
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    CDOT ArcGIS Online (2020). CDOT Buildings and Facilities [Dataset]. https://hub.arcgis.com/datasets/cdot::cdot-buildings-and-facilities
    Explore at:
    Dataset updated
    Feb 7, 2020
    Dataset provided by
    https://arcgis.com/
    Colorado Department of Transportationhttps://www.codot.gov/
    Authors
    CDOT ArcGIS Online
    License

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

    Area covered
    Description

    DescriptionThis dataset represents CDOT facilities/buildings of various types. GPS data was collected during a building energy inventory. In many places, one point represents multiple building locations within a CDOT complex.To query by facility, use SAPOBJTYPE field and key: F_F_L -------- Lab F_F_M -------- Maintenance/Repair F_F_O -------- Office F_F_R -------- Rest Area F_F_S -------- Storage Shed F_F_SS -------- Sand Shed F_F_T -------- Traffic Shop F_F_U -------- Unknown F_M_000032 -------- Storage Farm F_M_000033 -------- Storage Tank

        Last Update
        2019
    
    
        Update FrequencyAs needed
    
    
        Data Owner
        Division of Maintenance & Operations
    
    
        Data Contact
        Division of Maintenance & Operations, GIS
    
    
        Collection Method
        Survey 123 field collection
    
    
        Projection
        WGS 1984 Web Mercator with Auxiliary Sphere
    
    
        Coverage Area
        Statewide
    
    
        Temporal
    
    
    
        Disclaimer/Limitations
        There are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.
    
  14. Casos Proyecto DTPR

    • hub.arcgis.com
    Updated Jul 27, 2023
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    Esri CL Demo (2023). Casos Proyecto DTPR [Dataset]. https://hub.arcgis.com/feedback/surveys/bc6f4a5a4fe942aeb4353c20443c221e
    Explore at:
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri CL Demo
    Description

    This template includes only those features that are supported in both the ArcGIS Survey123 field app and web app.

  15. a

    Online-Befragung Schulweg

    • smacc1-esri-de.hub.arcgis.com
    Updated Apr 8, 2019
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    SmartGeoHub (2019). Online-Befragung Schulweg [Dataset]. https://smacc1-esri-de.hub.arcgis.com/datasets/smartgeohub::online-befragung-schulweg
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    Dataset updated
    Apr 8, 2019
    Dataset authored and provided by
    SmartGeoHub
    Description

    Eine Umfrage für Ihr Projekt Bevölkerungsbefragungen helfen, einen Einblick in die Ansichten und Meinungen vieler unterschiedlicher Anwohner zu bekommen. ArcGIS bietet die Möglichkeit, Antworten von Umfrageteilnehmern mit geographischen Informationen zu verbinden. Die so erfassten Informationen stellen eine gute Grundlage für zukünftige Entscheidungen, zum Beispiel in der Projekt- oder Stadtentwicklung, dar.

  16. Journée 1 : Depuis 2020, j'utilise ArcGIS Online au quotidien !

    • accompagnement-education-fr.hub.arcgis.com
    Updated Aug 17, 2020
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    Education - ESRI France (2020). Journée 1 : Depuis 2020, j'utilise ArcGIS Online au quotidien ! [Dataset]. https://accompagnement-education-fr.hub.arcgis.com/documents/deb64428624045debae54d2618b7fe23
    Explore at:
    Dataset updated
    Aug 17, 2020
    Dataset provided by
    Environmental Systems Research Institutehttp://esri.com/
    Authors
    Education - ESRI France
    Description

    Applications mobile : Survey123

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Esri Portugal - Educação (2020). Getting to Know Web GIS, fourth edition [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/getting-to-know-web-gis-fourth-edition
Organization logo

Getting to Know Web GIS, fourth edition

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
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

Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.Building on the foundation of the previous three editions, Getting to Know Web GIS, fourth edition,features the latest advances in Esri’s entire Web GIS platform, from the cloud server side to the client side.Discover and apply what’s new in ArcGIS Online, ArcGIS Enterprise, Map Viewer, Esri StoryMaps, Web AppBuilder, ArcGIS Survey123, and more.Learn about recent Web GIS products such as ArcGIS Experience Builder, ArcGIS Indoors, and ArcGIS QuickCapture. Understand updates in mobile GIS such as ArcGIS Collector and AuGeo, and then build your own web apps.Further your knowledge and skills with detailed sections and chapters on ArcGIS Dashboards, ArcGIS Analytics for the Internet of Things, online spatial analysis, image services, 3D web scenes, ArcGIS API for JavaScript, and best practices in Web GIS.Each chapter is written for immediate productivity with a good balance of principles and hands-on exercises and includes:A conceptual discussion section to give you the big picture and principles,A detailed tutorial section with step-by-step instructions,A Q/A section to answer common questions,An assignment section to reinforce your comprehension, andA list of resources with more information.Ideal for classroom lab work and on-the-job training for GIS students, instructors, GIS analysts, managers, web developers, and other professionals, Getting to Know Web GIS, fourth edition, uses a holistic approach to systematically teach the breadth of the Esri Geospatial Cloud.AUDIENCEProfessional and scholarly. College/higher education. General/trade.AUTHOR BIOPinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won specialachievement awards. Fu is the lead author of Web GIS: Principles and Applications (Esri Press, 2010).Pub Date: Print: 7/21/2020 Digital: 6/16/2020 Format: Trade paperISBN: Print: 9781589485921 Digital: 9781589485938 Trim: 7.5 x 9 in.Price: Print: $94.99 USD Digital: $94.99 USD Pages: 490TABLE OF CONTENTSPrefaceForeword1 Get started with Web GIS2 Hosted feature layers and storytelling with GIS3 Web AppBuilder for ArcGIS and ArcGIS Experience Builder4 Mobile GIS5 Tile layers and on-premises Web GIS6 Spatial temporal data and real-time GIS7 3D web scenes8 Spatial analysis and geoprocessing9 Image service and online raster analysis10 Web GIS programming with ArcGIS API for JavaScriptPinde Fu | Interview with Esri Press | 2020-07-10 | 15:56 | Link.

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