Why I switched from Tableau to QGIS for site selection. Here are 3 reasons. In site selection, visualizing data on maps is crucial. I used Tableau because it's easy and quick for creating nice maps. But now, I switched to QGIS. Here’s why: 1. **Open Source**: QGIS is free. No costs involved. 2. **Layer Possibility**: It offers advanced layering options. 3. **Border Marking**: Precise border marking capabilities. I admit that I only used simple functionalities with Tableau. Perhaps I could have used layers or boundary contours in Tableau as well. But I found the help too complicated. Another reason for my switch to QGIS, which will be my go-to tool for now. What tools do you use for site selection? #SiteSelection #GIS #BusinessTools
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We are excited to announce that Suhora has recently contributed to the QGIS community by developing a new experimental plugin that integrates QGIS with ClickHouse, a high-performance column-oriented database designed for real-time analytics. This plugin connects ClickHouse with QGIS, enabling smooth spatial data integration and visualization. It retrieves records containing point information from ClickHouse and displays them as layers in QGIS, making it easier to manage and visualize large geospatial datasets directly within QGIS. As this is an experimental version, we invite the community to test it out and provide feedback. Contributions are welcome on our GitHub page to help improve and refine the plugin! Access the plugin here: https://lnkd.in/gr5MvJKh Contribute on GitHub: https://lnkd.in/gbbZ23TP #suhora #earthobservation #remotesensing #QGIS #ClickHouse #GeospatialData #OpenSource #GIS #DataVisualization #RealTimeAnalytics #GitHub
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From a few data points to a comprehensive, real-time GIS dashboard! Transforming data into actionable insights with expertise in Kobotoolbox, Power BI, QGIS, and real-time data visualization. Ready to elevate your projects? Let's connect! #Dataanalytics #Dataanalysis #PowerBIdashboard
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Introducing Catalog Layers in ArcGIS Online. New with the June 2024 release, this layer type provides a way to browse layers by regions or topics, preview data, and add layers to a map. https://ow.ly/sESg50SwfLj
Introducing Catalog Layers in ArcGIS Online
esri.com
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Introducing Catalog Layers in ArcGIS Online. New with the June 2024 release, this layer type provides a way to browse layers by regions or topics, preview data, and add layers to a map. https://ow.ly/7bS350SwBFJ
Introducing Catalog Layers in ArcGIS Online
esri.com
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Esri Consultant, Environmental GIS Specialist; Environmental Scientist and Marine Biologist
Introducing Catalog Layers in ArcGIS Online. New with the June 2024 release, this layer type provides a way to browse layers by regions or topics, preview data, and add layers to a map. https://ow.ly/jcqQ50SwE60
Introducing Catalog Layers in ArcGIS Online
esri.com
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Innovative Founder Embracing Lifelong Learning | Proponent of Civil Disobedience & Transparency | Expert in Narrative Reporting
5/15/24 @ 7:37 PM EST: Codename: Icon Map Done, did it, James Dales! You twisted my arm and made me subscribe. I can't wait. Your picture truly says a thousand words! When it comes to mapping in Power BI, I often find myself scratching my head over which map visual to use. Let's face it, there are definitely more mapping visuals than meets the eye in Power BI, and it can lead to paralysis by analysis. But lately, I've been toying around with James Dales' Icon Map, and let me say, it's the bee's knees. I find it extremely versatile, and you can really tell that a lot of blood, sweat, and tears have been put into it. If this resonates with you, give Icon Map a whirl, follow my lead and subscribe to stay informed about the upcoming Icon Map Pro. You might find yourself falling in love with it as much as we have, and as a result, you'll be building jaw-dropping data visualizations that empower your team in no time. Keep up the amazing work, James! Oh, and I want to give a shout-out to Andrzej Leszkiewicz for the repost, that was a nice lay-up, my friend! Your brand is coming along nicely: Website: https://www.powerofbi.org/ Youtube: https://lnkd.in/e-VCX5cY Github: https://lnkd.in/eDwcT8X2 I've learned tremendously from you both, so keep shining! hashtag#ESRI hashtag#ArcGIS hashtag#PowerBI hashtag#MicrosoftFabric hashtag#IconMap hashtag#IconMapPro hashtag#SpatialAnalytics hashtag#GeoSpatial hashtag#Mapping hashtag#GIS hashtag#DataVisualization Visit my FB Business page to access more of my daily posts! https://lnkd.in/eCzNwsuB Who is Christopher Paquet? https://lnkd.in/eaqgvJeK Connect with me on LinkedIn: https://lnkd.in/eBwWMWZ3 Join the crusade to inspire change in fatherhood on 𝕏 with Elon and me! https://lnkd.in/enRqS9NW DataVisualizer on 𝕏: https://lnkd.in/ekMF9u98 Perfecting my visuals to ensure they're sharp & crystal clear: https://lnkd.in/eNqYJ9ZP
Co-founder & CEO @ Tekantis Ltd | #MicrosoftMVP (Data Platform) | #Geospatial in #PowerBI | Icon Map Pro | London #MicrosoftFabric User Group Organiser
Today I'm working on finalizing our initial ESRI ArcGIS integration within Icon Map Pro for Power BI. This picture is one of my test reports. It's showing open crime data for London. The London Borough boundaries are loaded from an ESRI ArcGIS hosted Feature Layer and then formatted in Icon Map Pro's formatting pane using standard Power BI conditional formatting. The feature layer can be selected using DAX expressions to be loaded dynamically according to the context of the report - eg specific slicer values or drilldown level. As you mouse over each borough, a report page tooltip shows a choropleth map of the next level down in the geography hierarchy - again using Icon Map Pro, but this time with no background map. The background map of the main report is in this case sourced from ArcGIS. I've also overlayed the locations of UK job centres from a locally uploaded GeoJSON file with the details shown in a standard Power BI tooltip as you mouse over the map pins. I've configured the map for cross-highlighting and to zoom into each borough when you click on the related borough in the Power BI table to the right. Right clicking on a London Borough in the map provides the option to drill-through to a more detailed report page. We'll be launching Icon Map Pro in the next few weeks. To keep up to date and register your interest, fill in the form at https://iconmappro.com/ #ESRI #ArcGIS #PowerBI #MicrosoftFabric #IconMap #IconMapPro #SpatialAnalytics #GeoSpatial #Mapping #GIS #DataVisualization
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Instructor | Research Assistant | Urban Planning Graduate | @Department of Town & Country Planning - University of Moratuwa
🚀 Excited to share my latest project! 🌍 I completed a static GIS dashboard using QGIS and the Data Plotly plugin. This dashboard showcases dynamic data visualizations, blending geospatial data with analytical insights. 🔍 Key Features: a. Dynamic Data Visualization: Leveraged Data Plotly to create informative box plots and other visual elements. b. Geospatial Analysis: Incorporated layers of geographic data to provide context and enhance understanding. c. User-Friendly Layout: Designed an intuitive layout that makes complex data accessible and easily interpretable. Why Create Dashboards in QGIS? 1. Open Source and Free: QGIS is an open-source platform, making it accessible to anyone without the need for expensive licenses. 2. Extensive Plugin Ecosystem: With plugins like Data Plotly, QGIS offers powerful tools for data visualization and analysis, allowing you to create complex and insightful dashboards. 3. Versatile Data Integration: QGIS supports a wide range of data formats, making it easy to integrate various datasets into a single project for comprehensive analysis. 4. High Customizability: QGIS provides extensive customization options, enabling users to tailor their dashboards to specific needs and preferences. 5. Strong Community Support: The QGIS community is active and supportive, providing numerous tutorials, forums, and resources to help users improve their skills and troubleshoot issues. Thanks to Abdul-Karim Wumpini Fuseini for your insightful tutorial, which inspired this project. I took the concept and customized it to fit my vision. Check out the dashboard in the image below! #GIS #QGIS #DataVisualization #GeospatialAnalysis #UrbanPlanning #DataScience #Dashboard #Mapping
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Spatial analysis and data visualization in QGIS in 30 days #30DaysofQGIS. A Spatial Thoughts initiative 👍 Spend 30 minutes each day for the next 30 days to level-up your QGIS skills. #QGIS #Cyprus
Want to learn advanced #QGIS for spatial analysis and data visualization? We are launching our Advanced QGIS course on YouTube and have designed a fun challenge #30DaysOfQGIS to help you learn QGIS more effectively. Spend 30 mins every day for the next 30 days learning QGIS. Interested? Check out the post for more details >>> https://lnkd.in/dYNDDTAu <<< We will be posting a set of videos everyday along with hands-on exercises. Watch the videos and work through the material at your own pace. It's completely free and open for all levels of #QGIS users. Like and share this post to spread the word. If you are following along, share your progress with hashtag #30DaysOfQGIS! Don't worry if you fall behind or miss a few days. The videos will also be accessible after the challenge ends.
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QGIS USERS! Learn how to join data in this step-by-step tutorial. https://lnkd.in/gyy7qeAc #qgis #data
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QGIS USERS! Learn how to join data in this step-by-step tutorial. https://lnkd.in/gyy7qeAc #qgis #data
QGIS is really an excellent app for site selection and location-based analysis in real estate. I particularly appreciate its tools for creating isochrones which are invaluable for analyzing catchment areas.