42 datasets found
  1. QGIS Training Tutorials: Using Spatial Data in Geographic Information...

    • open.canada.ca
    • datasets.ai
    • +2more
    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 Canadahttps://statcan.gc.ca/en
    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. a

    On-screen Digitizing Using QGIS

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Oct 25, 2024
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    GEOproject_admin (2024). On-screen Digitizing Using QGIS [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/4280d05a4fdc4dc9a446cb791b2d9f05
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    GEOproject_admin
    Area covered
    Description

    Grala, K., McMillen, Randall D., & Cartwright, J. H. (2022). On-screen Digitizing Using QGIS. Mississippi State University: Geosystems Research Institute. [View Document]GEO TutorialNumber of Pages: 13Publication Date: 08/2022This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

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

    • figshare.com
    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
    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

  4. H

    GeoServer Tutorials

    • beta.hydroshare.org
    • hydroshare.org
    zip
    Updated Aug 4, 2022
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    Jacob Wise Calhoon (2022). GeoServer Tutorials [Dataset]. https://beta.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

  5. a

    Joining Tables With Spatial Data

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Joining Tables With Spatial Data [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/dea76234848449c4a22965612572c441
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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: Joining Tables With Spatial Data. 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.

  6. a

    Creating And Animating Timeseries

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Creating And Animating Timeseries [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/items/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.

  7. a

    Spatial Predicates: Preparing Residential Dataset

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Spatial Predicates: Preparing Residential Dataset [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/d90ca56fa70a4f42a4039ea67b6db26c
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    GEOproject_admin
    Description

    Raczynski, K., Grala, K., & Cartwright, J. H. (2025). GEO Tutorial: Dealing with Coastal Flooding series, part 2: Spatial Predicates: Preparing Residential Dataset. Mississippi State University: Geosystems Research Institute. [View Document] GEO TutorialNumber of Pages: 7Publication Date: 06/2025This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

  8. a

    Enhancing Maps with Charts in QGIS

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 5, 2025
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    GEOproject_admin (2025). Enhancing Maps with Charts in QGIS [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/0f0241f7b4d84f2d98fa3ac12a60c364
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    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    GEOproject_admin
    Description

    Raczynski, K., Grala, K., & Cartwright, J. H. (2025). Enhancing Maps with Charts in QGIS. Mississippi State University: Geosystems Research Institute. [View Document]GEO Tutorial Number of Pages: 7 Publication Date: 02/2025 This 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

    • dataone.org
    • hydroshare.org
    • +2more
    Updated Apr 15, 2022
    + more versions
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    Jacob Wise Calhoon (2022). Test Resource for OGC Web Services [Dataset]. https://dataone.org/datasets/sha256%3A59bae29350865fc2ca6d4c4d3f5995a2a51b7b0ebb9cc8414122cf46a63846c0
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    Dataset updated
    Apr 15, 2022
    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

    Using Unsupervised Machine Learning For Land Use Land Cover Classification

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). Using Unsupervised Machine Learning For Land Use Land Cover Classification [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/items/9b48d400cc77474e89f2e804e7dd4f4d
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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 3A: Using Unsupervised Machine Learning For Land Use Land Cover Classification. 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.

  11. Z

    Supplementary material 2 from: Ryan Z, Clark E, Cundiff B, Nichols J,...

    • data.niaid.nih.gov
    Updated Oct 16, 2024
    + more versions
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    Campbell, Thomas (2024). Supplementary material 2 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.niaid.nih.gov/resources?id=zenodo_13938259
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    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Nichols, Joslyn
    Cundiff, Beatrice
    Mahoney, Maya
    Clark, Emily
    Evans, Nkosi
    Campbell, Thomas
    von Konrat, Matt
    Kreider, Danny
    Ryan, Zoe
    License

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

    Description

    Quick Step QGIS MaxEnt Tutorial

  12. Seilaplan Tutorial: Load WMS layers as background maps

    • envidat.ch
    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: Load WMS layers as background maps [Dataset]. http://doi.org/10.16904/envidat.345
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    mp4, not availableAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    Swiss Federal Institute for Forest, Snow and Landscape Research
    BOKU
    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 Landwirtschaft, Regionen und Tourismus Österreich
    Description

    In order to digitally plan a cable line using the QGIS plugin ‘Seilaplan’, maps with various background information are helpful. In this tutorial we show you how to obtain maps that are helpful for cable line planning, for example a national map of Switzerland at different scales, the NFI vegetation height model or the NFI forest mix rate. For this we explain what WMS datasets are and how to integrate them into QGIS. No download of large data is needed for this, only a good internet connection. Please note that the tutorial language is German! Link for the integration of WMS data: https://wms.geo.admin.ch/ Link to the description on the Swisstopo website: https://www.geo.admin.ch/en/geo-services/geo-services/portrayal-services-web-mapping/web-map-services-wms.html Link to the Seilaplan website: https://seilaplan.wsl.ch

    Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung sind verschiedene Hintergrundkarten hilfreich. In diesem Tutorialvideo zeigen wir, was WMS Daten sind und wie man diese in QGIS einbinden kann. Dafür müssen die Daten nicht heruntergeladen werden. Es braucht lediglich eine gute Internetverbindung. Für die Seillinienplanung hilfreiche Karten sind bspw. die Landeskarte der Schweiz in verschiedenen Massstäben, das Vegetationshöhenmodell LFI oder der Waldmischungsgrad LFI. Link zur Einbindung der WMS Daten: https://wms.geo.admin.ch/ Link zur Beschreibung auf der Swisstopo Webseite: https://www.geo.admin.ch/de/geo-dienstleistungen/geodienste/darstellungsdienste-webmapping-webgis-anwendungen/web-map-services-wms.html Link zur Seilaplan-Website: https://seilaplan.wsl.ch

  13. a

    3D Map Animations

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Feb 6, 2025
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    GEOproject_admin (2025). 3D Map Animations [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/781e1b7ec2c446bf92be59ed815fa87e
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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 8: 3D Map Animations. 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.

  14. o

    QGIS in der Archäologie.

    • explore.openaire.eu
    Updated Aug 5, 2020
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    Christoph Rinne (2020). QGIS in der Archäologie. [Dataset]. http://doi.org/10.5281/zenodo.3972775
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    Dataset updated
    Aug 5, 2020
    Authors
    Christoph Rinne
    Description

    Revised scripts for the course "GIS Einführung: Daten organisieren, analysieren und visualisieren". Held in the summer term 2020 at Kiel University (Germany). Überarbeitete Skripte zur Übung "GIS Einführung: Daten organisieren, analysieren und visualisieren". Gehalten im Sommersemester 2020 an der Chriatian-Albrechts Universität zu Kiel (DE). Die verwendete QGIS-Version ist 3.22.4 Białowieża und kann bei https://qgis.org heruntergeladen werden. Die aktuelle (01.2024) Version mit Langzeitunterstützung ist allerdings 3.28.15 LTR. Informationen zu den Änderungen einzelner Versionen erhalten Sie bei QGIS. Einige Kapitel wurden leicht überarbeitet oder erweitert, z. B. die Einleitung zu Koordinaten (KBS), und die Weblinks, z. B. der WMS-Dienste aktualisiert. Das Tutorial wird hier als html-Dokument mit deutlich höherer Funktionalität bei der Navigation angeboten,

  15. a

    Calling Algorithms from Field Calculator in QGIS

    • gulf-coast-geospatial-geo-project.hub.arcgis.com
    Updated Nov 29, 2024
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    GEOproject_admin (2024). Calling Algorithms from Field Calculator in QGIS [Dataset]. https://gulf-coast-geospatial-geo-project.hub.arcgis.com/documents/2a92fb10e11843b88d480d1d6f6ac811
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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: Calling Algorithms from Field Calculator in QGIS. Mississippi State University: Geosystems Research Institute. [View Document]GEO TutorialNumber of Pages: 7Publication Date: 10/2024This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207

  16. Seilaplan Tutorial: Merge DTM tiles

    • envidat.ch
    mp4, not available
    Updated May 29, 2025
    + more versions
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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
    Swiss Federal Institute for Forest, Snow and Landscape Research
    BOKU
    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
    World Surf Leaguehttp://www.worldsurfleague.com/
    Kooperationsplattform Forst Holz Papier
    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

  17. 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/documents/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.

  18. d

    Mountain Image Analysis Suite Tutorial Data

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 11, 2024
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    Wright, Claire (2024). Mountain Image Analysis Suite Tutorial Data [Dataset]. http://doi.org/10.5683/SP3/PR368H
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    Dataset updated
    Dec 11, 2024
    Dataset provided by
    Borealis
    Authors
    Wright, Claire
    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.

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

    • zenodo.org
    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 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]. http://doi.org/10.3897/rio.10.e129578.suppl4
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    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

    Quick Guide to Mapping Occurrences in QGIS

  20. Seilaplan Tutorial: DTM download from swisstopo website

    • envidat.ch
    mp4, not available
    Updated Jun 7, 2025
    + more versions
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    Laura Ramstein; Lioba Rath; Stephan Böhm; Pierre Simon; Christian Kanzian; Janine Schweier; Leo Gallus Bont (2025). Seilaplan Tutorial: DTM download from swisstopo website [Dataset]. http://doi.org/10.16904/envidat.343
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    mp4, not availableAvailable download formats
    Dataset updated
    Jun 7, 2025
    Dataset provided by
    Swiss Federal Institute for Forest, Snow and Landscape Research
    BOKU
    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
    Bundesministerium für Landwirtschaft, Regionen und Tourismus Österreich
    Kooperationsplattform Forst Holz Papier
    WSL
    Description

    In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. As an alternative to using the ‘Swiss Geo Downloader’ plugin, the DTM can be obtained directly from Swisstopo. In this tutorial we explain step by step how to download the necessary DTM from the Swisstopo Website, and how to use it in QGIS for the digital planning of a cable line using the plugin ‘Seilaplan’. Please note that the tutorial language is German! Link to the elevation model on the swisstopo website: https://www.swisstopo.admin.ch/de/geodata/height/alti3d.htmltechnische_details Link to the rope map website: https://seilaplan.wsl.ch

    Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. Als Alternative zum Swiss Geo Downloader erklären wir in diesem Tutorial Schritt für Schritt, wie man das nötige Höhenmodell von der Swisstopo Webseite herunterladen und in QGIS zur Seillinienplanung verwenden kann. Link zum Höhenmodell auf der swisstopo Webseite: https://www.swisstopo.admin.ch/de/geodata/height/alti3d.htmltechnische_details Link zur Seilaplan-Website: https://seilaplan.wsl.ch

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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
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QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems

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Dataset updated
Oct 5, 2021
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
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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