#Ggplot2 Visualization

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#Ggplot2 Visualization Reel by @festadesignstudio - From interviews to clear themes Next lesson 🎥 Synthesize Data Using Affinity Diagrams. #AffinityMapping #ProjectDesign #SetupYourProjectForSuccess
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@festadesignstudio
From interviews to clear themes Next lesson 🎥 Synthesize Data Using Affinity Diagrams. #AffinityMapping #ProjectDesign #SetupYourProjectForSuccess
#Ggplot2 Visualization Reel by @dotproduct3d - How to Import Dot3D Scan Data into Autodesk ReCap with Large GIS Coordinates Preserved (via CloudCompare) Direct referencing to geospatial coordinate
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@dotproduct3d
How to Import Dot3D Scan Data into Autodesk ReCap with Large GIS Coordinates Preserved (via CloudCompare) Direct referencing to geospatial coordinates is an increasingly useful feature for Dot3D users. However, large coordinates can sometimes lead to unintended display or precision issues in downstream workflows like Autodesk ReCap. So, we’ve prepared this new video to demonstrate how to avoid these problems when moving large coordinate data into Autodesk ReCap, with a quick stop in CloudCompare first. Shared here for your reference — pun intended! Full step-by-step guide available here: https://dotproduct.zohodesk.com/portal/en/kb/articles/georecap
#Ggplot2 Visualization Reel by @genuscogroup - Interpolation in GIS estimates unknown values by using nearby data points to create continuous surfaces. Common methods include IDW, KNN, and Random F
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@genuscogroup
Interpolation in GIS estimates unknown values by using nearby data points to create continuous surfaces. Common methods include IDW, KNN, and Random Forest for intuitive, robust predictions, plus advanced options like Kriging for geostatistical precision. Choosing the right method requires rigorous validation to ensure accuracy and trustworthiness. Use interpolation to improve your environmental assessments and spatial models. #genus #consulting #enviromentalscience #GIS #SpatialAnalysis #InterpolationTechniques #DataModeling #AIinGIS
#Ggplot2 Visualization Reel by @nexionanalytics - 🧩 Think all ERDs are the same? That's the mistake most beginners make. The truth is, every ERD has three versions - and each one tells a different st
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@nexionanalytics
🧩 Think all ERDs are the same? That’s the mistake most beginners make. The truth is, every ERD has three versions — and each one tells a different story. 📍 In this video, we reveal the zoom levels of data modeling: • Conceptual — see the big picture • Logical — structure your ideas • Physical — build the real thing You’ll finally understand how to separate the what from the how, and why skipping these layers causes misaligned databases, broken joins, and poor performance. 🎯 Master the difference between models before you ever define a single column. ⚡ Subscribe, follow, and check out all my links here: 👉 https://www.hopp.bio/nexionanalytics Helpful Links: https://www.visual-paradigm.com/guide/data-modeling/what-is-entity-relationship-diagram/ https://www.lucidchart.com/blog/er-diagram-symbols-and-notation #NexionAnalytics 🎵 Music: “Butterflys” by Panda Beats Provided by Pixabay — https://pixabay.com/music/ Artist: https://pixabay.com/users/panda-beats-39035500/
#Ggplot2 Visualization Reel by @primaverseidc - Bad GIS data doesn't just create messy maps it leads to costly, wrong decisions. Strong GIS data management is about accuracy, structure, and trust.
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@primaverseidc
Bad GIS data doesn’t just create messy maps it leads to costly, wrong decisions. Strong GIS data management is about accuracy, structure, and trust. From clear naming conventions and organised geodatabases to metadata, QA/QC checks, and version control every step ensures teams work with the right data, every time. Because better decisions don’t start with software. They start with solid data foundations. Follow PrimaVerse for practical insights on GIS, data management, and real-world engineering workflows. . . . #PrimaVerse #GIS #GeospatialData #GISDataManagement #SpatialAnalysis #Geodatabase #GISProfessionals #EngineeringInsights #DataAccuracy #SmartDecisions
#Ggplot2 Visualization Reel by @pix4d_official - PIX4Dmatic has officially evolved into a unified geospatial platform that turns aerial and terrestrial captures into accurate CAD and GIS-ready delive
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@pix4d_official
PIX4Dmatic has officially evolved into a unified geospatial platform that turns aerial and terrestrial captures into accurate CAD and GIS-ready deliverables! From raw data to survey-grade results in one desktop solution. 🌐🌟 👇 Watch our video below to see the unified workflow in action! 🎥🔥 Get the full breakdown on our blog, via the link in our bio! #PIX4D #GeospatialData #PIX4Dmatic #Geoweek2026
#Ggplot2 Visualization Reel by @milanjanosov_science (verified account) - 𝐂𝐢𝐫𝐜𝐮𝐥𝐚𝐫 𝐅𝐚𝐫𝐦𝐥𝐚𝐧𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐌𝐮𝐥𝐭𝐢𝐬𝐩𝐞𝐜𝐭𝐫𝐚𝐥 𝐈𝐦𝐚𝐠𝐞𝐫𝐲 𝐔𝐬𝐢𝐧𝐠 𝗪𝐲𝐯𝐞𝐫𝐧 𝐈𝐦𝐚𝐠𝐞𝐫𝐲 | #𝟑𝟎
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@milanjanosov_science
𝐂𝐢𝐫𝐜𝐮𝐥𝐚𝐫 𝐅𝐚𝐫𝐦𝐥𝐚𝐧𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐌𝐮𝐥𝐭𝐢𝐬𝐩𝐞𝐜𝐭𝐫𝐚𝐥 𝐈𝐦𝐚𝐠𝐞𝐫𝐲 𝐔𝐬𝐢𝐧𝐠 𝗪𝐲𝐯𝐞𝐫𝐧 𝐈𝐦𝐚𝐠𝐞𝐫𝐲 | #𝟑𝟎𝐃𝐚𝐲𝐌𝐚𝐩𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 (𝟐𝟗/𝟑𝟎) For Day 29 of the #30DayMapChallenge (theme: raster), I analyzed high-resolution multispectral imagery data from Wyvern - a public provider also giving away for free some of their awesome data samples. In this short visualization and the tutorial, I was focusing on a landscape filled with circular agricultural fields, most likely created by center-pivot irrigation systems, and asked the question How can we use this multi-spectral data to detect those circles? The answer, thanks to the 23 bands, is that there are many different ways to get there, balancing between accuracy, run-time, generalization capabilities, and computational needs. I went for a more feasible, quick option by first loading and preprocessing all 23 bands, doing a couple of explorative visuals, like PCA composites. Then I selected the highest-contrast band, applied adaptive contrast enhancement, extracted the ring edges using Canny, and fitted circular geometries using OpenCV’s Hough Circle Transform to identify center-pivot farmland patterns. Tutorial on YT and substack! #30DayMapChallenge #Circles #Wyvern Multispectral
#Ggplot2 Visualization Reel by @matt_forrest - Why should you care about PostGIS? 🐘 #geospatial #gis #datascience #postgis #sql
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@matt_forrest
Why should you care about PostGIS? 🐘 #geospatial #gis #datascience #postgis #sql

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