412
FEFrom interviews to clear themes
Next lesson 🎥 Synthesize Data Using Affinity Diagrams.
#AffinityMapping #ProjectDesign #SetupYourProjectForSuccess
@festadesignstudio
#Ggplot2 Visualization
世界中の人々によるGgplot2 Visualizationに関する件のリール動画を視聴。
ログインせずに匿名で視聴。
関連検索
トレンドリール
(8)
437
DOHow 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
@dotproduct3d
211
GEInterpolation 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
@genuscogroup
9
NE🧩 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/
@nexionanalytics
213
PRBad 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
@primaverseidc
1.7K
PIPIX4Dmatic 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
@pix4d_official
356
MI𝐂𝐢𝐫𝐜𝐮𝐥𝐚𝐫 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
@milanjanosov_science
223
MAWhy should you care about PostGIS? 🐘 #geospatial #gis #datascience #postgis #sql
@matt_forrest
✨ #Ggplot2 Visualization発見ガイド
Instagramには#Ggplot2 Visualizationの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
Instagramの膨大な#Ggplot2 Visualizationコレクションには、今日最も魅力的な動画が掲載されています。@pix4d_official, @dotproduct3d and @festadesignstudioや他のクリエイティブなプロデューサーからのコンテンツは、世界中でthousands of件の投稿に達しました。
#Ggplot2 Visualizationで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @pix4d_official, @dotproduct3d, @festadesignstudioなどがコミュニティをリード
#Ggplot2 Visualizationについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Ggplot2 Visualizationのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
8リールの分析
💡 トップ投稿は平均855.3333333333334回の再生（平均の1.9倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
💡 トップコンテンツは数百の再生回数を獲得 - 最初の3秒に集中
📹 #Ggplot2 Visualizationには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長601文字
#Ggplot2 Visualization に関連する人気検索
🎬動画愛好家向け
Ggplot2 Visualization ReelsGgplot2 Visualization動画を見る
📈戦略探求者向け
Ggplot2 Visualizationトレンドハッシュタグ最高のGgplot2 Visualizationハッシュタグ
🌟もっと探索
Ggplot2 Visualizationを探索#r ggplot2 data visualization#r data visualization ggplot2#ggplot2 data visualization r#ggplot2 data visualization#ggplot2 r visualization