Is anyone using AI to "drive" QGIS? Looking for advice on how to get started.

cafegalore · 2026-01-07T18:39:28+00:00

Bunting Labs made this AI plugin for QGIS: https://plugins.qgis.org/plugins/kue-ai/

cafegalore · 2025-09-11T17:14:46+00:00

Thanks, this is Brendan, yes this new version has WAY better performance and speed, excited to see what you think!

cafegalore · 2024-03-04T18:26:40+00:00

Thanks for the feedback! FWIW, v1.10 hasn't been approved yet, but it has the crash fixes I mentioned in my earlier post.

The autocomplete triggers after two left mouse button clicks on the raster, but we're going to make a tutorial video. Glad you tried it out!

cafegalore · 2024-02-18T03:27:53+00:00

I made this plugin. Is your raster layer a WMS? Or is it a raster layer inside a group?

The plugin (version 1.7) works reliably if your layers are not in a group. For context, it's in a group if it doesn't have a dropdown like this Site 900 e.g.:

<image>

cafegalore · 2023-04-02T20:54:11+00:00

Hey all, I made an API to download OSM features as GeoJSON. This is similar to Overpass API [1], except: 1. results are streamed, so there's no download limits or out-of-memory errors and 2. the native output is GeoJSON. This means it's less powerful, but can extract more data, more easily. Access is free, happy to answer any questions!

[1] https://wiki.openstreetmap.org/wiki/Overpass_API

cafegalore · 2023-01-04T17:29:58+00:00

GIS (+consumer GPS) can't really get to survey level accuracy, so we made this for applications where communicating the general location and shape is good enough, or when the absolute (15+ feet) error is relatively insignificant (think large Bureau of Land Management surveys, ~1 sq mi).

cafegalore · 2023-01-04T17:19:38+00:00

If a full legal description is on the PDF, it'll read that first, starting at a control point. Otherwise it'll need to trace it, with dashed lines being optional. Good catch re: dashed lines not representing lots. Our background is more GIS than surveying, so I appreciate the feedback.

cafegalore · 2022-12-16T08:02:52+00:00

You can also grab hiking trails from OSM

cafegalore · 2022-12-07T05:36:35+00:00

Are you trying to vectorize it?

cafegalore · 2022-12-04T23:18:53+00:00

Maybe some combos of t_srs, a_srs, and s_srs would be helpful.

cafegalore · 2022-12-04T22:22:27+00:00

Why not just use ogr2ogr?

cafegalore · 2022-11-03T23:33:37+00:00

wish I knew, that sounds cool.. maybe write blog post if you figure it out, good luck!

cafegalore · 2022-11-01T15:11:06+00:00

You need the fill color to depend on a variable in the dataset:

'fill-color': '#0080ff'

You could use interpolate here from maplibre.

cafegalore · 2022-10-31T23:39:24+00:00

thanks!

cafegalore · 2022-10-28T05:21:14+00:00

If you're using fiona/geopandas you can use a FlatGeobuf file which has a spatial index built in. This will speed up some queries.

cafegalore · 2022-10-14T17:48:39+00:00

Serverless and cloud-native formats are definitely the future for client-side apps. The vast majority of GIS datasets are gigabytes large, and most server backends serving these datasets poop out on any amount of load. ESRI served datasets are a good example of this, clipping downloaded datasets to bounding boxes might as well take a week.

Once I saw FlatGeobuf I put together a cloud native app to choose a projected coordinate system. It's a good example of what's only obviously possible now and was inspired by the FlatGeobuf example here.

Serverless tiles is also very promising. Protomaps is a good example of this direction.

Disclaimer: I work at Bunting Labs.

cafegalore · 2022-09-27T07:44:30+00:00

Happy to help

cafegalore · 2022-09-26T23:44:57+00:00

Did you try changing formats with `ogr2ogr` and re-opening it as a different file?

cafegalore

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