412
FEFrom interviews to clear themes
Next lesson ๐ฅ Synthesize Data Using Affinity Diagrams.
#AffinityMapping #ProjectDesign #SetupYourProjectForSuccess
@festadesignstudio
#Ggplot2 Visualization
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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, weโve 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 โ 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
NE๐งฉ Think all ERDs are the same? Thatโs the mistake most beginners make.
The truth is, every ERD has three versions โ and each one tells a different story.
๐ In this video, we reveal the zoom levels of data modeling:
โข Conceptual โ see the big picture
โข Logical โ structure your ideas
โข Physical โ build the real thing
Youโll finally understand how to separate the what from the how, and why skipping these layers causes misaligned databases, broken joins, and poor performance.
๐ฏ Master the difference between models before you ever define a single column.
โก Subscribe, follow, and check out all my links here:
๐ 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
๐ต Music: โButterflysโ by Panda Beats
Provided by Pixabay โ https://pixabay.com/music/
Artist: https://pixabay.com/users/panda-beats-39035500/
@nexionanalytics
213
PRBad GIS data doesnโt 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 donโt start with software.
They start with solid data foundations.
Follow PrimaVerse for practical insights on GIS, data management, and real-world engineering workflows.
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.
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#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. ๐๐
๐ Watch our video below to see the unified workflow in action! ๐ฅ๐ฅ
Get the full breakdown on our blog, via the link in our bio!
#PIX4D #GeospatialData #PIX4Dmatic #Geoweek2026
@pix4d_official
356
MI๐๐ข๐ซ๐๐ฎ๐ฅ๐๐ซ ๐
๐๐ซ๐ฆ๐ฅ๐๐ง๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐ฎ๐ฅ๐ญ๐ข๐ฌ๐ฉ๐๐๐ญ๐ซ๐๐ฅ ๐๐ฆ๐๐ ๐๐ซ๐ฒ ๐๐ฌ๐ข๐ง๐ ๐ช๐ฒ๐ฏ๐๐ซ๐ง ๐๐ฆ๐๐ ๐๐ซ๐ฒ | #๐๐๐๐๐ฒ๐๐๐ฉ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐ (๐๐/๐๐)
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 OpenCVโs 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? ๐ #geospatial #gis #datascience #postgis #sql
@matt_forrest
โจ #Ggplot2 Visualization Discovery Guide
Instagram hosts thousands of posts under #Ggplot2 Visualization, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
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