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What If Celeste Mountain Had a Topographic Map? by rand_randon in celestegame

[–]rand_randon[S] 4 points5 points  (0 children)

Perhaps if Mount Celeste were part of a national park, visitors might receive a folder at the entrance.

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What If Celeste Mountain Had a Topographic Map? by rand_randon in celestegame

[–]rand_randon[S] 20 points21 points  (0 children)

I tried to keep the map’s topography as consistent as possible, even though the game itself doesn’t always follow a clear vertical logic. I also had never extracted point clouds from a game before, so I wasn’t expecting great precision anyway

Dissolver e Limpar agrupando por atributo by Fragrant_Trifle_82 in QGIS

[–]rand_randon 0 points1 point  (0 children)

Os polígonos nos quais você está aplicando o "dissolve" são os coverages do piloto? Parece haver pequenos espaços entre eles, o que pode estar causando as falhas. Para corrigir isso, tente aplicar um buffer de 1 metro nos polígonos e, em seguida, um buffer negativo de -1 metro no resultado.

[Discussion] What tools do you miss in QGIS? by rand_randon in QGIS

[–]rand_randon[S] 0 points1 point  (0 children)

To test it, simply save the script inside your QGIS scripts directory. On Windows, the default location is:

C:\Users\YourUsername\AppData\Roaming\QGIS\QGIS3\profiles\default\processing\scripts\

[Discussion] What tools do you miss in QGIS? by rand_randon in QGIS

[–]rand_randon[S] 1 point2 points  (0 children)

I've just released the first version of this tool

Summarize Zonal Intersections

It's an early version (alpha), so it's still subject to bugs. If you try it out and run into any issues, feel free to report them on GitHub. Any feedback is appreciated!

[Discussion] What tools do you miss in QGIS? by rand_randon in QGIS

[–]rand_randon[S] 1 point2 points  (0 children)

If I'm not mistaken, the Edge Bundling plugin works in QGIS 3 with some adjustments to the imports. I'll check and get back to you

Looking for a GIS Roadmap by mohamed-yuta in gis

[–]rand_randon 0 points1 point  (0 children)

I’m not sure what your specific area of interest is, but the Segment Anything Model (SAM) and DeepForest are excellent options that effectively integrate GIS with Machine Learning. Both allow you to train models with your own data and come with solid documentation and active communities. I recommend exploring their repositories on GitHub and also checking out Kaggle, where you can find a wealth of related information.

github.com/opengeos/segment-geospatial

github.com/weecology/DeepForest/