31 datasets found
  1. G

    QGIS Training Tutorials: Using Spatial Data in Geographic Information...

    • open.canada.ca
    • datasets.ai
    • +1more
    html
    Updated Oct 5, 2021
    + more versions
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    Statistics Canada (2021). QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://open.canada.ca/data/en/dataset/89be0c73-6f1f-40b7-b034-323cb40b8eff
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 5, 2021
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

  2. GISF2E: ArcGIS, QGIS, and python tools and Tutorial

    • figshare.com
    • resodate.org
    pdf
    Updated Jun 2, 2023
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    Urban Road Networks (2023). GISF2E: ArcGIS, QGIS, and python tools and Tutorial [Dataset]. http://doi.org/10.6084/m9.figshare.2065320.v3
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Urban Road Networks
    License

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

    Description

    ArcGIS tool and tutorial to convert the shapefiles into network format. The latest version of the tool is available at http://csun.uic.edu/codes/GISF2E.htmlUpdate: we now have added QGIS and python tools. To download them and learn more, visit http://csun.uic.edu/codes/GISF2E.htmlPlease cite: Karduni,A., Kermanshah, A., and Derrible, S., 2016, "A protocol to convert spatial polyline data to network formats and applications to world urban road networks", Scientific Data, 3:160046, Available at http://www.nature.com/articles/sdata201646

  3. QGIS tutorial GeoDev

    • kaggle.com
    zip
    Updated Jun 15, 2023
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    Tek Bahadur Kshetri (2023). QGIS tutorial GeoDev [Dataset]. https://www.kaggle.com/datasets/tekbahadurkshetri/qgis-tutorial-geodev/suggestions
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    zip(6055998 bytes)Available download formats
    Dataset updated
    Jun 15, 2023
    Authors
    Tek Bahadur Kshetri
    Description

    This dataset is part of the QGIS beginner tutorial: https://youtu.be/wu42hyshx7Q

  4. a

    Work Automation in QGIS Using Model Builder

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Nov 29, 2024
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    GEOproject_admin (2024). Work Automation in QGIS Using Model Builder [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/3922445273cb452f87aa2f10b6932073
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    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    GEOproject_admin
    Area covered
    Description

    Raczynski, K., Grala, K., & Cartwright, J. H. (2024). GEO Tutorial: Work Automation in QGIS Using Model Builder. Mississippi State University: Geosystems Research Institute. [View Document] GEO TutorialNumber of Pages: 9Publication Date: 11/2024This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

  5. a

    Hotspot Analysis in GIS

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Hotspot Analysis in GIS [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/items/8233bff0e1e2488288e19beac3afb2b2
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    GEOproject_admin
    Description

    Raczynski, K., Nagel, A., & Cartwright, J. H. (2025). GEO Tutorial: Hotspot Analysis in GIS. Mississippi State University: Geosystems Research Institute. [View Document] GEO TutorialNumber of Pages: 5Publication Date: 06/2025This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

  6. H

    GeoServer Tutorials

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Aug 4, 2022
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    Jacob Wise Calhoon (2022). GeoServer Tutorials [Dataset]. https://www.hydroshare.org/resource/753127b14dd443a1a4f2cf9634835d7a
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    zip(14.4 MB)Available download formats
    Dataset updated
    Aug 4, 2022
    Dataset provided by
    HydroShare
    Authors
    Jacob Wise Calhoon
    License

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

    Description

    This resources contains PDF files and Python notebook files that demonstrate how to create geospatial resources in HydroShare and how to use these resources through web services provided by the built-in HydroShare GeoServer instance. Geospatial resources can be consumed directly into ArcMap, ArcGIS, Story Maps, Quantum GIS (QGIS), Leaflet, and many other mapping environments. This provides HydroShare users with the ability to store data and retrieve it via services without needing to set up new data services. All tutorials cover how to add WMS and WFS connections. WCS connections are available for QGIS and are covered in the QGIS tutorial. The tutorials and examples provided here are intended to get the novice user up-to-speed with WMS and GeoServer, though we encourage users to read further on these topic using internet searches and other resources. Also included in this resource is a tutorial designed to that walk users through the process of creating a GeoServer connected resource.

    The current list of available tutorials: - Creating a Resource - ArcGIS Pro - ArcMap - ArcGIS Story Maps - QGIS - IpyLeaflet - Folium

  7. a

    Batching GIS Tasks: a Way To Speed Up Repetitive Procedures

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Batching GIS Tasks: a Way To Speed Up Repetitive Procedures [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/4d372bb7d9014dae90f862fc0e6d242c
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    GEOproject_admin
    Description

    Raczynski, K., Nagel, A., & Cartwright, J. H. (2025). GEO Tutorial: Batching GIS Tasks: a Way To Speed Up Repetitive Procedures. Mississippi State University: Geosystems Research Institute. [View Document]

    GEO Tutorial Number of Pages: 6 Publication Date: 06/2025This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

  8. a

    Part 9: Creating And Animating Timeseries

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Part 9: Creating And Animating Timeseries [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/ed72db1beafd4cd081a6bee4b0ca8de5
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    GEOproject_admin
    Description

    Raczynski, K., Babineaux, C., & Cartwright, J. H. (2025). GEO Tutorial: Dealing with Coastal Flooding series, part 9: Creating And Animating Timeseries. Mississippi State University: Geosystems Research Institute. [View Document] GEO TutorialNumber of Pages: 5Publication Date: 06/2025This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

  9. d

    Test Resource for OGC Web Services

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 5, 2021
    + more versions
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    Jacob Wise Calhoon (2021). Test Resource for OGC Web Services [Dataset]. https://search.dataone.org/view/sha256%3A70b5bfd9d450fc4266770c000c1d32e0e93fd17ff6e597f4c755dd7d46a8a2db
    Explore at:
    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Jacob Wise Calhoon
    Time period covered
    Aug 6, 2020
    Area covered
    Description

    This resource contains the test data for the GeoServer OGC Web Services tutorials for various GIS applications including ArcGIS Pro, ArcMap, ArcGIS Story Maps, and QGIS. The contents of the data include a polygon shapefile, a polyline shapefile, a point shapefile, and a raster dataset; all of which pertain to the state of Utah, USA. The polygon shapefile is of every county in the state of Utah. The polyline is of every trail in the state of Utah. The point shapefile is the current list of GNIS place names in the state of Utah. The raster dataset covers a region in the center of the state of Utah. All datasets are projected to NAD 1983 Zone 12N.

  10. a

    Part 3B: Using Supervised Machine Learning For Land Use Land Cover...

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Part 3B: Using Supervised Machine Learning For Land Use Land Cover Classification [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/items/05f76df8d0674982ae48393ddfbcc516
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    GEOproject_admin
    Description

    Raczynski, K., Xavier, F., & Cartwright, J. H. (2025). GEO Tutorial: Dealing with Coastal Flooding series, part 3B: Using Supervised Machine Learning For Land Use Land Cover Classification. Mississippi State University: Geosystems Research Institute. [View Document] GEO TutorialNumber of Pages: 8Publication Date: 06/2025This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

  11. Supplementary material 3 from: Ryan Z, Clark E, Cundiff B, Nichols J,...

    • zenodo.org
    • data.niaid.nih.gov
    pdf
    Updated Oct 16, 2024
    + more versions
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    Zoe Ryan; Emily Clark; Beatrice Cundiff; Joslyn Nichols; Maya Mahoney; Nkosi Evans; Thomas Campbell; Danny Kreider; Matt von Konrat; Zoe Ryan; Emily Clark; Beatrice Cundiff; Joslyn Nichols; Maya Mahoney; Nkosi Evans; Thomas Campbell; Danny Kreider; Matt von Konrat (2024). Supplementary material 3 from: Ryan Z, Clark E, Cundiff B, Nichols J, Mahoney M, Evans N, Campbell T, Kreider D, von Konrat M (2024) Open-source software integration: A tutorial on species distribution mapping and ecological niche modelling. Research Ideas and Outcomes 10: e129578. https://doi.org/10.3897/rio.10.e129578 [Dataset]. http://doi.org/10.3897/rio.10.e129578.suppl3
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Zoe Ryan; Emily Clark; Beatrice Cundiff; Joslyn Nichols; Maya Mahoney; Nkosi Evans; Thomas Campbell; Danny Kreider; Matt von Konrat; Zoe Ryan; Emily Clark; Beatrice Cundiff; Joslyn Nichols; Maya Mahoney; Nkosi Evans; Thomas Campbell; Danny Kreider; Matt von Konrat
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    QGIS Intro and Instructions for Mapping Species Occurrences

  12. e

    Seilaplan Tutorial: Merge DTM tiles

    • envidat.ch
    • data.europa.eu
    mp4, not available
    Updated May 29, 2025
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    Laura Ramstein; Lioba Rath; Stephan Böhm; Pierre Simon; Christian Kanzian; Janine Schweier; Leo Gallus Bont (2025). Seilaplan Tutorial: Merge DTM tiles [Dataset]. http://doi.org/10.16904/envidat.344
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    not available, mp4Available download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    BOKU
    Swiss Federal Institute for Forest, Snow and Landscape Research WSL
    Authors
    Laura Ramstein; Lioba Rath; Stephan Böhm; Pierre Simon; Christian Kanzian; Janine Schweier; Leo Gallus Bont
    License

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

    Area covered
    Switzerland
    Dataset funded by
    Kooperationsplattform Forst Holz Papier
    WSL
    Bundesministerium für Landwirtschaft, Regionen und Tourismus Österreich
    Description

    In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. In this tutorial video, we show how to merge multiple DTM raster tiles into one file, using the QGIS tool ‘Virtual Raster’. This simplifies the digital planning of a cable line using the QGIS plugin ‘Seilaplan’. Please note that the tutorial language is German! Link to Seilaplan website: https://seilaplan.wsl.ch

    Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. In diesem Tutorialvideo zeigen wir, wie man mit dem QGIS-Plugin Virtuelles Raster mehrere DHM-Kacheln zu einem einzigen Rasterfile zusammenfügen und abspeichern kann. Für die Seillinienplanung mit Seilaplan muss nun nur noch eine Datei, mein neues virtuelles Raster, ausgewählt werden. Link zur Seilaplan-Website: https://seilaplan.wsl.ch

  13. a

    Generating Viewsheds: a Visibility Analysis

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Generating Viewsheds: a Visibility Analysis [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/items/5f04d11488d84c7c9f8d2ebf314a9feb
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    GEOproject_admin
    Description

    Raczynski, K., Grala, K., Raczynska, J., & Cartwright, J. H. (2025). GEO Tutorial: Generating Viewsheds: a Visibility Analysis. Mississippi State University: Geosystems Research Institute. [View Document] GEO TutorialNumber of Pages: 6Publication Date: 06/2025This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

  14. e

    List of tutorials — TutorielGeo

    • data.europa.eu
    csv, ods
    Updated Sep 23, 2025
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    Geowebservice (2025). List of tutorials — TutorielGeo [Dataset]. https://data.europa.eu/data/datasets/5b070761c751df45f3f335f6?locale=en
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    ods(23579), csv(13806)Available download formats
    Dataset updated
    Sep 23, 2025
    Dataset authored and provided by
    Geowebservice
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    List of 144 tutorials of the Youtube channel TutorielGeo: https://www.youtube.com/user/tutorielgeo/featured

    More than 200 free tutorial videos on Qgis, Postgis, Geoserver, Pentaho, Talend, Google Earth Pro... as well as webmapping technologies and database management: Oracle, Mysql, SQL Server. Here is the link to the store: https://play.google.com/store/apps/details?id=com.tutorielgeo.mobileapps Here is the link to the website: https://tutorielgeo.com Here is the link of the Youtube channel:https://www.youtube.com/user/tutorielgeo Here is the link to the facebook page: https://www.facebook.com/Tutorielgeo-Geomatic-Tutorial-GIS-Tutorial-Webmapping-Tutorial-325658277554574/ Here is the link to the Twitter account: https://twitter.com/TutorielGeo Here is the link to the Google Plus page: https://plus.google.com/b/117203987416263637144/+tutorielgeo/posts

  15. e

    Seilaplan Tutorial: DTM download with SwissGeoDownloader

    • envidat.ch
    • data.europa.eu
    json, mp4 +2
    Updated May 29, 2025
    + more versions
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    Laura Ramstein; Lioba Rath; Patricia Moll; Stephan Böhm; Pierre Simon; Christian Kanzian; Janine Schweier; Leo Gallus Bont (2025). Seilaplan Tutorial: DTM download with SwissGeoDownloader [Dataset]. http://doi.org/10.16904/envidat.342
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    mp4, not available, xml, jsonAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    Self-employed
    BOKU
    Swiss Federal Institute for Forest, Snow and Landscape Research WSL
    Authors
    Laura Ramstein; Lioba Rath; Patricia Moll; Stephan Böhm; Pierre Simon; Christian Kanzian; Janine Schweier; Leo Gallus Bont
    License

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

    Area covered
    Switzerland
    Dataset funded by
    Bundesministerium für Landwirtschaft Regionen und Tourismus Österreich
    WSL
    Kooperationsplattform Forst Holz Papier
    Description

    In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. The plugin ‘Swiss Geo Downloader’, which is available for the open source geoinformation software QGIS, allows freely available Swiss geodata to be downloaded and displayed directly within QGIS. It was developed in 2021 by Patricia Moll in collaboration with the Swiss Federal Institute for Forest, Snow and Landscape Research WSL. In this tutorial we describe how to download the high accuracy elevation model ‘swissALTI3D’ with the help of the ‘Swiss Geo Downloader’ and how to use it for digital planning of a cable line with the plugin ‘Seilaplan’. Please note that the tutorial language is German! Link to the Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader Link to Seilaplan website: https://seilaplan.wsl.ch

    Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. Das Plugin Swiss Geo Downloader, welches für das Open Source Geoinformationssystem QGIS zur Verfügung steht, ermöglicht frei verfügbare Schweizer Geodaten direkt innerhalb von QGIS herunterzuladen und anzuzeigen. Es wurde 2021 von Patricia Moll in Zusammenarbeit mit der eidgenössischen Forschungsanstalt Wald, Schnee und Landschaft WSL entwickelt. In diesem Tutorial beschreiben wir, wie man mit Hilfe des Swiss Geo Downloaders das hochgenaue Höhenmodell swissALTI3D herunterladen und für die Seillinienplanung mit dem Plugin Seilaplan verwenden kann. Link zum Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader Link zur Seilaplan-Webseite: https://seilaplan.wsl.ch

  16. a

    Calculating Spatial Statistics Of Inundated Areas

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Calculating Spatial Statistics Of Inundated Areas [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/95b427ded02743cd9c30c996d47cf5c9
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    GEOproject_admin
    Description

    Raczynski, K., Nagel, A., & Cartwright, J. H. (2025). GEO Tutorial: Dealing with Coastal Flooding series, part 6: Calculating Spatial Statistics Of Inundated Areas. Mississippi State University: Geosystems Research Institute. [View Document] GEO TutorialNumber of Pages: 5Publication Date: 06/2025This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

  17. B

    Mountain Image Analysis Suite Tutorial Data

    • borealisdata.ca
    • search.dataone.org
    Updated Dec 3, 2024
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    Claire Wright (2024). Mountain Image Analysis Suite Tutorial Data [Dataset]. http://doi.org/10.5683/SP3/PR368H
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    Borealis
    Authors
    Claire Wright
    License

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

    Area covered
    Canada, AB, Waterton Lakes National Park
    Description

    This dataset contains example data for the Mountain Image Analysis Suite (MIAS) plugin for QGIS. The plugin is available for download through GitHub. MIAS was developed on images from the Mountain Legacy Project. A written tutorial is available for download. The dataset contains the following layers: Digital surface model at 1 m resolution for the Lost Horse Creek Valley in Waterton Lakes National Park, AB, Canada provided by Parks Canada. Digital terrain model at 1 m resolution for the Lost Horse Creek Valley in Waterton Lakes National Park, AB, Canada provided by Parks Canada. High resolution oblique image from the Mountain Legacy Project collection captured on the shoulder of Mt Blakiston by Dominion Land Surveyor Morrison P. Bridgland in 1914. High resolution oblique image from the Mountain Legacy Project collection captured on the shoulder of Mt Blakiston by Mountain Legacy researchers in 2004. Corresponding landcover classification masks created in MIAS for the two oblique images with associated probability layers (.npy). Virtual photograph constructed from elevation data through MIAS replicating the view in the two oblique images. Text file with the camera parameters used to create the virtual photograph. Aligned versions of the two landcover masks after alignment with the virtual photograph and the associated alignment tie points. Viewsheds for each oblique image comprising classified and georeferenced rasters, and associated probability layers for use in mosaicking.

  18. Z

    Supplementary material 4 from: Ryan Z, Clark E, Cundiff B, Nichols J,...

    • data-staging.niaid.nih.gov
    • data.niaid.nih.gov
    Updated Oct 16, 2024
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    Ryan, Zoe; Clark, Emily; Cundiff, Beatrice; Nichols, Joslyn; Mahoney, Maya; Evans, Nkosi; Campbell, Thomas; Kreider, Danny; von Konrat, Matt (2024). Supplementary material 4 from: Ryan Z, Clark E, Cundiff B, Nichols J, Mahoney M, Evans N, Campbell T, Kreider D, von Konrat M (2024) Open-source software integration: A tutorial on species distribution mapping and ecological niche modelling. Research Ideas and Outcomes 10: e129578. https://doi.org/10.3897/rio.10.e129578 [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_13938263
    Explore at:
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    DePaul University, Chicago, United States of America
    Arizona State University, Sussex, United States of America
    University of California, Berkeley, Berkeley, United States of America
    Field Museum, Gantz Family Collections Center, Chicago, United States of America
    University of Wisconsin - Madison, Madison, United States of America|Field Museum, Gantz Family Collections Center, Chicago, United States of America|DePaul University, Chicago, United States of America
    Field Museum, Gantz Family Collections Center, Chicago, United States of America|Northeastern Illinois University, Chicago, United States of America|University of Wisconsin - Madison, Madison, United States of America
    Northeastern Illinois University, Chicago, United States of America
    University of Illinois, Chicago, Chicago, United States of America
    Authors
    Ryan, Zoe; Clark, Emily; Cundiff, Beatrice; Nichols, Joslyn; Mahoney, Maya; Evans, Nkosi; Campbell, Thomas; Kreider, Danny; von Konrat, Matt
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Quick Guide to Mapping Occurrences in QGIS

  19. p

    Mission Atlantic GeoNode Workshop: How to use OGC webservices offered by the...

    • pigma.org
    Updated Dec 15, 2024
    + more versions
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    (2024). Mission Atlantic GeoNode Workshop: How to use OGC webservices offered by the Mission Atlantic GeoNode in your data analysis [Dataset]. https://www.pigma.org/geonetwork/srv/search?keyword=WP7%20Risk%20assessment%20and%20uncertainties
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    Dataset updated
    Dec 15, 2024
    Description

    A 40-minute tutorial to use OGC webservices offered by the Mission Atlantic GeoNode in your data analysis. The workshop makes use of Python Notebooks and common GIS Software (ArcGIS and QGIS), basic knowledge of Python and/or GIS software is recommended. • Introduction to OGC services • Search through metadata using the OGC Catalogue Service (CSW) • Visualize data using OGC Web Mapping Service (WMS) • Subset and download data using OGC Web Feature and Coverage Services (WFS/WCS) • Use OGC services with QGIS and/or ArcGIS

  20. a

    Part 4: Hydrologic Raster Preparation: Resampling And Burning Stream Network...

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Part 4: Hydrologic Raster Preparation: Resampling And Burning Stream Network [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/260b6d99ee9f4309a4be92a647625aa4
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    Dataset updated
    Feb 6, 2025
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    GEOproject_admin
    Description

    Raczynski, K., Nagel, A., & Cartwright, J. H. (2025). GEO Tutorial: Dealing with Coastal Flooding series, part 4: Hydrologic Raster Preparation: Resampling and Burning Stream Network: Geosystems Research Institute. [View Document] GEO TutorialNumber of Pages: 5Publication Date: 05/2025 This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

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Statistics Canada (2021). QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://open.canada.ca/data/en/dataset/89be0c73-6f1f-40b7-b034-323cb40b8eff

QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems

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Dataset updated
Oct 5, 2021
Dataset provided by
Statistics Canada
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Description

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

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