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42 results for “QGIS”
Modificar taula d'atributs en QGIS
<p>In this video is described how to modify the attributes table in QGIS (<a href="http://qgis.org">http://qgis.org</a>). The file used in the video can be found at github <a href="https://raw.githubusercontent.com/dieza/curso_r/master/taula_incompleta.csv">https://raw.githubusercontent.com/dieza/curso_r/master/taula_incompleta.csv</a>. The whole set is about the circulation of obsidian in the western mediterranean during the Neolithic. </p> <p>Terradas, X., Gratuze, B., Bosch, J., Enrich, R., Esteve, X., Oms, F. X., & Ribé, G. (2014). Neolithic diffusion of obsidian in the western Mediterranean: new data from Iberia. Journal of archaeological Science, 41, 69-78.</p> <p>Tykot, R. H. (2017). Obsidian Studies in the Prehistoric Central Mediterranean: After 50 Years, What Have We Learned and What Still Needs to Be Done?. Open Archaeology, 3(1), 264-278.</p>
2021 UN Open GIS Challenge 1 - Training on Satellite Data Analysis and Machine Learning with QGIS (Satellite_QGIS)
<p>This dataset is part of the <a href="https://www.osgeo.org/foundation-news/2021-osgeo-un-committee-educational-challenge/?fbclid=IwAR0UvwkPO2pay7C0tJawb63eewjBGfeL9TIQpYUFccza9OIo6HAolmHXLWE">2021 UN Open GIS Challenge 1 - Training on Satellite Data Analysis and Machine Learning with QGIS (Satellite_QGIS)</a>,</p> <p>Exercise 1: Supervised Change Detection: Monitoring deglaciation in Huascaran, Peru.</p>
Insertar vista 3D realizada en Qgis en un PowerPoint
<p>Se describe como preparar un modelo digital del terreno para visualizar el castell de Cocentaina ea Qgis y exportarlo para su posterior inserción en una presentación de PowerPoint. Los datos necesarios para realizar el videotutorial se pueden encontrar en <a href="http://doi.org/10.5281/zenodo.3783619">http://doi.org/10.5281/zenodo.3783619</a>. </p> <p>El video tutorial describe, como preparar el MDT para visualizarlo con el complemento <a href="https://plugins.qgis.org/plugins/Qgis2threejs/">Qgis2threejs</a>.</p> <p>1. Usar la calculadora ráster para restar al mdt original el valor mínimo del mdt (592 m.s.n.m). El resultado debería ser similar a <a href="https://zenodo.org/record/3783619/files/mdt-592b.tif?download=1">mdt-592b.tif</a> (https://zenodo.org/record/3783619/files/mdt-592b.tif)</p> <p>2. Calcular la pendiente del mdt resultante (<a href="https://zenodo.org/record/3783619/files/slope_castell.tif">slope_castell.tif</a>).</p> <p>3. Preparar la vista con las propiedades necesarias (pseudocolor monobanda, sombreado u otros).</p> <p>4. Realizar la vista 3D.</p> <p>5. Preparar la vista 3D, escoger el mdt.</p> <p>6. Extruir la planta del castell.</p> <p>7. Añadir norte, cabecera, pie, etc. </p> <p>8. Exportar a glb (el resultado será parecido a <a href="https://zenodo.org/record/3783619/files/castell_concentaina_mdt.glb?download=1">castell_concentaina_mdt.glb</a>).</p> <p>9. Insertar en PowerPoint (El resultado será parecido a <a href="https://zenodo.org/record/3783619/files/prueba3D_per_a_power2.pptx?download=1">prueba3D_per_a_power2.pptx</a>)</p>
QGIS dataset of the Kunbaja online resource
<p>QGIS dataset of the Kunbaja online resource model built in QGIS as dataset in the .qgz file format</p>
Installationsanleitung für QGIS und Seilaplan - Tutorialreihe zur digitalen Planung im Seilgelände
<p>In diesem Videotutorial wird die Installation des Open Source Geoinformationssystems QGIS, sowie die Installation vom Plugin Seilaplan, welches die digitale Planung von Seiltrassen ermöglicht, als Schritt-für-Schritt-Anleitung vorgezeigt.</p> <p>Link zum Plugin Seilaplan: <a href="https://seilaplan.wsl.ch/de/index.html">https://seilaplan.wsl.ch/de/index.html</a></p> <p>Link zu QGIS: <a href="https://qgis.org/de/site/">https://qgis.org/de/site/</a></p> <p>Kontakt:</p> <p>Christian Kanzian<br> <a href="mailto:christian.kanzian@boku.ac.at">christian.kanzian@boku.ac.at</a></p> <p>Dieses Video darf gemäß den Vorgaben für CC BY 4.0 Lizenzen unter Verweis auf Böhm, Stephan; Ramstein, Laura; Bont, Leo; Simon, Pierre; Schweier, Janine & Kanzian, Christian (2022): <em>Seilaplan: </em><em>Installationsanleitung für QGIS und Seilaplan </em><em>– Tutorialreihe zur digitalen Planung im Seilgelände. </em>Wien: Universität für Bodenkultur Wien. https://doi.org/10.5281/zenodo.6908680 verwendet werden.</p>
Mapa da Mobilidade em Japeri - Uso do QGIS
<p>Aqui está parte dos dados utilizados para elaboração do mapa da mobilidade urbana de Japeri/RJ, relacionada aos transportes públicos.</p> <p>O arquivo Mapa 1, foi o disposto no trabalho intitulado: <strong>MOBILIDADE E POLÍTICAS PÚBLICAS EM TRANSPORTES: UMA ANÁLISE DA CIDADE DE JAPERI/RJ </strong>submetido ao 8º Congresso de Contabilidade e Governança da UnB.</p> <p>O arquivo Mapa Japeri, foi o trabalho preliminar disposto na elaboração do trabalho publicado no SIAC da UFRJ:</p> <p><a href="http://lattes.cnpq.br/4538807955974945">SILVA, O. A. B. L.</a>; HAJJ, Z. S. E. . MOBILIDADE URBANA EM JAPERI/RJ: ÊNFASE NAS POLÍTICAS PÚBLICAS EM TRANSPORTES. In: 11º SIAC - Semana de Integração Acadêmica da UFRJ, 2022, Rio de Janeiro. CCJE - Centro de Ciências Jurídicas e Econômicas, 2022. v. único.</p> <p> </p> <p>Os demais dados, são os disponibilizados pelo IBGE, afim de facilitar a elaboração do mapa.</p> <p>Dessa forma, espero que estes dados, possam auxiliar a organização de mapas similares, ou afins.</p> <p> </p> <p><br> </p>
EXPLORE Machine Learning Lunar Data Challenges 2022 - QGIS project
<p>This dataset contains the the EXPLORE Machine Learning Data Challenge 2022 QGIS project.</p> <p>The project embed the following Archytas Dome layers:</p> <p><strong>Raster</strong></p> <ul> <li>Narrow Angle Camera (NAC)</li> <li>DEM derived from NAC</li> <li>Slope computer on DEM</li> </ul> <p><strong>Vectorial</strong></p> <ul> <li>POIs - Points Of Interest to be used in STEP 3 </li> </ul> <p> </p> <p> </p> <p> </p> <p>More information at: https://exploredatachallenges.space/</p> <p> </p> <p>Images were processed from NASA PDS raw data using USGS ISIS and NASA ASP tools.</p>
Stanwick Late Iron Age oppidum: QGIS-LIDAR
2M DTM LIDAR model: Stanwick Late Iron Age oppidum, Iron Age and medieval settlement, early Christian church and sculpture and post-medieval emparkment. It was the trading and power-centre of the Brigantes. An enclosed oppidum is a nucleated settlement of the Late Iron Age, covering an area in excess of 10ha, whose boundaries are marked by large earthworks comprising a bank and outer ditch, which are generally taken to be of a defensive nature. They contain evidence for a variety of activities, suggesting that they were centres within which a range of economic, political, and religious services were concentrated. Many examples contain evidence for the development of zones within which particular activities (productive or ritual) appear to have been concentrated. Enclosed oppida have generally been dated from the late second/early first century BC and continued in use to the first century AD. Only around ten oppida have been identified in England and of those the majority lie in the south. Source: Objaverse 1.0 / Sketchfab
R scripts for the practical exercises with QGIS in the book "Land Use Cover Datasets and Validation Tools"
<p>This dataset includes a series of R scripts required to carry out some of the practical exercises in the book “Land Use Cover Datasets and Validation Tools”, available in open access.</p> <p>The scripts have been designed within the context of the R Processing Provider, a plugin that integrates the R processing environment into QGIS. For all the information about how to use these scripts in QGIS, please refer to Chapter 1 of the book referred to above.</p> <p>The dataset includes 15 different scripts, which can implement the calculation of different metrics in QGIS:</p> <ul> <li>Change statistics such as absolute change, relative change and annual rate of change (Change_Statistics.rsx)</li> <li>Areal and spatial agreement metrics, either overall (Overall Areal Inconsistency.rsx, Overall Spatial Agreement.rsx, Overall Spatial Inconsistency.rsx) or per category (Individual Areal Inconsistency.rsx, Individual Spatial Agreement.rsx)</li> <li>The four components of change (gross gains, gross losses, net change and swap) proposed by Pontius Jr. (2004) (LUCCBudget.rsx)</li> <li>The intensity analysis proposed by Aldwaik and Pontius (2012) (Intensity_analysis.rsx)</li> <li>The Flow matrix proposed by Runfola and Pontius (2013) (Stable_change_flow_matrix.rsx, Flow_matrix_graf.rsx)</li> <li>Pearson and Spearman correlations (Correlation.rsx)</li> <li>The Receiver Operating Characteristic (ROC) (ROCAnalysis.rsx)</li> <li>The Goodness of Fit (GOF) calculated using the MapCurves method proposed by Hargrove et al. (2006) (MapCurves_raster.rsx, MapCurves_vector.rsx)</li> <li>The spatial distribution of overall, user and producer’s accuracies, obtained through Geographical Weighted Regression methods (Local accuracy assessment statistics.rsx).</li> </ul> <p>Descriptions of all these methods can be found in different chapters of the aforementioned book.</p> <p>The dataset also includes a readme file listing all the scripts provided, detailing their authors and the references on which their methods are based.</p>
QGIS Data for Canadian Population, PM2.5, Nighttime lights.
<p>This is the dataset for the QGIS analysis for Canadian Population, PM2.5, Nighttime lights. </p>
Sample Dataset for the UN Open GIS Initiative - WG2 and WG3 QGIS 3.10-GeoAnalysis Practice
<p>Sample Dataset for the UN Open GIS Initiative - WG2 and WG3 QGIS 3.10-GeoAnalysis Practice including 26 geoanalytic functions for PKO.</p> <p><strong>vector:</strong> OpenStreetMap vector dataset (8 shapefiles) for the city of Seoul (version date 2018-07-22T20:00:02, CRS: WGS84) licensed under the Open Database 1.0 License.</p> <p><strong>raster:</strong> (a)Landsat8 image (code: LC08_L1TP_115034_20180721_20180731_01_T1, CRS: WGS84/UTM zone 52N), 11 bands. (b) Aster Digital Elevation map (20 m, CRS: WGS84) for the city of Seoul</p> <p>See: <a href="https://qgis3-10-geoanalysis-un.readthedocs.io">UN Open GIS Initiative - WG2 and WG3 QGIS 3.10-GeoAnalysis Practice</a></p>
Realazione Idro-geomorfologica con QGIS e GRASS
<p>Questa è la mia relazione sul bacino Rio Manez. Come le avevo scritto per mail è stata fatta secondo la metodologia utilizzata l'anno scorso.</p> <p> </p>
Governor's Island Dataset for QGIS
<p><strong>Governor's Island Dataset for QGIS</strong><br> This archive contains a QGIS project and a geopackage with raster and vector data for Governor's Island, New York City, USA. The CRS is NAD83 / New York Long Island (ftUS) with the EPSG code 2263.</p> <p><strong>Data Sources</strong></p> <ul> <li><a href="https://www.naturalearthdata.com/">https://orthos.dhses.ny.gov/</a></li> <li><a href="https://www.naturalearthdata.com/">https://data.cityofnewyork.us/</a></li> </ul> <p><strong>License</strong><br> This dataset is licensed under the <a href="https://opendatacommons.org/licenses/pddl/index.html">ODC Public Domain Dedication and License 1.0 (PDDL)</a> by Brendan Harmon.</p>
The Hills of Governor's Island Dataset for QGIS
<p><strong>The Hills of Governor's Island Dataset for QGIS</strong><br> This archive contains a QGIS project and a geopackage with raster and vector data for the Hills region of Governor's Island, New York City, USA. The CRS is NAD83 / New York Long Island (ftUS) with the EPSG code 2263.</p> <p><strong>Data Sources</strong></p> <ul> <li><a href="https://www.naturalearthdata.com/">https://orthos.dhses.ny.gov/</a></li> <li><a href="https://www.naturalearthdata.com/">https://data.cityofnewyork.us/</a></li> </ul> <p><strong>License</strong><br> This dataset is licensed under the <a href="https://opendatacommons.org/licenses/pddl/index.html">ODC Public Domain Dedication and License 1.0 (PDDL)</a> by Brendan Harmon.</p>
FOSS4G-IT 2021 - Workshop "QGIS: dal modellatore grafico ai plugin di Processing" (a cura di Federico Gianoli)
<p><strong>Workshop "QGIS: dal modellatore grafico ai plugin di Processing" a cura di Federico Gianoli</strong></p> <p>20 settembre 2021</p> <p>In questo workshop sarà illustrato come configurare il modellatore grafico di QGIS per l'automatizzazione di processi di analisi e l'esportazione del modello come plugin di Processing pronto per essere redistribuito. Per seguire il workshop è sufficiente QGIS LTR.</p> <p> </p> <p>⏰ <a href="https://www.youtube.com/watch?v=2N937a4Rp4w&list=PLk-K8n5iT-AepY_3OOHSjAMFUafBF_Nl3&index=3&t=0s">00:00:00</a> | INIZIO PAOLO DABOVE<br> ⏰ <a href="https://www.youtube.com/watch?v=2N937a4Rp4w&list=PLk-K8n5iT-AepY_3OOHSjAMFUafBF_Nl3&index=3&t=77s">00:01:17</a> | INTRO FEDERICO GIANOLI<br> ⏰ <a href="https://www.youtube.com/watch?v=2N937a4Rp4w&list=PLk-K8n5iT-AepY_3OOHSjAMFUafBF_Nl3&index=3&t=510s">00:08:30</a> | INTRO PYTHON<br> ⏰ <a href="https://www.youtube.com/watch?v=2N937a4Rp4w&list=PLk-K8n5iT-AepY_3OOHSjAMFUafBF_Nl3&index=3&t=835s">00:13:55</a> | QGIS e pyQGIS<br> ⏰ <a href="https://www.youtube.com/watch?v=2N937a4Rp4w&list=PLk-K8n5iT-AepY_3OOHSjAMFUafBF_Nl3&index=3&t=3555s">00:59:15</a> | DOMANDE PRIMA PARTE<br> ⏰ <a href="https://www.youtube.com/watch?v=2N937a4Rp4w&list=PLk-K8n5iT-AepY_3OOHSjAMFUafBF_Nl3&index=3&t=3955s">01:05:55</a> | MODELLATORE GRAFICO<br> ⏰ <a href="https://www.youtube.com/watch?v=2N937a4Rp4w&list=PLk-K8n5iT-AepY_3OOHSjAMFUafBF_Nl3&index=3&t=5737s">01:35:37</a> | PLUGIN BUILDER 3<br> ⏰ <a href="https://www.youtube.com/watch?v=2N937a4Rp4w&list=PLk-K8n5iT-AepY_3OOHSjAMFUafBF_Nl3&index=3&t=6798s">01:53:18</a> | DOMANDE FINALI</p> <p><strong>Materiale del Workshop</strong><br> 🔗 <a href="https://github.com/fgianoli/wor_foss4g2021">https://github.com/fgianoli/wor_foss4g2021</a></p> <p><strong>Altri link</strong><br> 🔗 <a href="https://github.com/fgianoli/wor_foss4g2021/blob/main/foss4g.md">https://github.com/fgianoli/wor_foss4g2021/blob/main/foss4g.md</a></p>
Procesamiento de datos sobre las encuestas obtenidas, en excel, qgis.
<p>En los documentos adjuntos se encuentra la información necesaria para llevar a cabo el estudio en la Universidad del Azuay. En primer lugar, se encuentra la base de cálculo de la muestra de estudiantes que serán encuestados. Además, se incluye un archivo que presenta los datos obtenidos en las encuestas, junto con su análisis cuantitativo y gráfico.</p> <p>Asimismo, se adjunta un archivo comprimido que contiene la capa de la zona de estudio en la que se implementarán las rutas del proyecto UDA-CARPOOLING. En este archivo, se realizó un análisis utilizando QGIS, que incluye información como el número de estudiantes por polígono, el cálculo de centroides y el número de vías por polígono.</p> <p>Finalmente, se proporciona un archivo de cálculo que muestra el procedimiento utilizado para determinar las microrutas utilizando los algoritmos de Bellman-Ford y Dijkstra.</p>
Figure 4 from: Smith R (2019) The CLUZ plugin for QGIS: designing conservation area systems and other ecological networks. Research Ideas and Outcomes 5: e33510. https://doi.org/10.3897/rio.5.e33510
Figure 4 Screenshots from QGIS showing the two Marxan outputs displayed in CLUZ. The map on the left shows the best portfolio of planning units selected by Marxan, while the map on the right shows the selection frequency score of each planning unit based on running Marxan ten times, with planning units in red being selected in every one of the ten Marxan runs.
Figure 3 from: Smith R (2019) The CLUZ plugin for QGIS: designing conservation area systems and other ecological networks. Research Ideas and Outcomes 5: e33510. https://doi.org/10.3897/rio.5.e33510
Figure 3 Screenshot of QGIS showing the planning units layer, CLUZ target table and Change Status panel. The Change Status Panel was used to change the status of the patch of planning units in the northwest of the planning region from Conserved to Earmarked. This updated the target table, which shows that adding this new patch to the protected area network would meet the target for rock faces and would contribute towards targets for another five conservation features.
Figure 1 from: Smith R (2019) The CLUZ plugin for QGIS: designing conservation area systems and other ecological networks. Research Ideas and Outcomes 5: e33510. https://doi.org/10.3897/rio.5.e33510
Figure 1 Screenshot of QGIS showing the planning units layer and CLUZ target table. The CLUZ target table provides details on all the conservation features, including the PC_target field showing the "gap" features that are currently under-represented.
Figure 2 from: Smith R (2019) The CLUZ plugin for QGIS: designing conservation area systems and other ecological networks. Research Ideas and Outcomes 5: e33510. https://doi.org/10.3897/rio.5.e33510
Figure 2 Screenshots of QGIS showing on the left, a CLUZ distribution map of one of the conservation features, and on the right a map of the number of conservation features found in each planning unit.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.