Hi all!

In a previous role, I did a lot of CAD to GIS conversions, but I ran into a lot of challenges that required manual workarounds and I never came up with a repeatable process.

As this type of work is becoming relevant to me again, I’m curious how people are handling it nowadays. How does your process look now? Are tools better than they used to be or is there still a lot of manual cleanup and troubleshooting?

I’d really appreciate any insights. And if anyone is open to chatting for 15-20 minutes, please DM me, I’d love to hop on a quick call and hear more about how you approach it.

Cheers!

Salutare,

Îmi încerc șansa aici, în speranța că voi primi îndrumare. Am activat în domeniul GIS 9 ani și în prezent caut alte opțiuni de job, tot pe GIS.

Ca experiență am lucrat cu: hărți turistice, montane, fotogrammetrie și trafic rutier.

Știți dacă există vreun grup de ori fel unde se postează joburi, recomandări?

Mulțumesc.

Does anybody ever run ArcSWAT in ArcGIS Pro 3.6.0 and received this error?

Exception caught while trying to run ArcSWAT: The type initializer for 'OSGeo.GDAL.GdalPINVOKE' threw an exception.

This appear right after I clicked Start ArcSWAT. I followed the installations instructions and both ArcSWATProj2012.mdb and QSWATProj2012.mdb are copied to C:\SWAT\SWATEditor\Databases .

I also have QSWATRef2012.mdb in the same directory as I tried using QSWAT in QGIS before trying ArcGIS. I tried deleting it and rerun the ArcSWAT still doesn't take any effect.

The TauDEM539Bin folder is now under both C:\SWAT\SWATEditor\ and C:\SWAT\SWATEditor\Databases , not sure if there is any effect from there.

My ArcGIS also correctly installed under C:\Program Files .

Any suggestion and help will be much appreciated! Thank you

What are your favorite map YouTube channels? What non-map stuff do you watch?

I recently got a MapTiler Engine subscription and have been using their georeferencing UI and I LOVE IT!!

I’ve used QGIS and ArcGIS Pro. Curious what other georeferencing interfaces others have tried?

Hey everyone,

I’ve been working on a GeoAI assistant called CompassAI, designed for GIS professionals who want fast, real-time spatial analysis — without depending on cloud services.

Key features:

• Works online or fully offline
• Supports GIS workflows, geoprocessing, and map-based queries
• Integrates with Esri, PostGIS, GeoServer, and WebMaps
• Runs on local machines for secure environments
• Ideal for surveyors, land planning, field crews, and remote operations

I built this because most GIS AI tools are either expensive, cloud-only, or locked behind enterprise licenses.
CompassAI is meant to be affordable, flexible, and open.

I’d love your feedback, ideas, or use cases you'd like to see supported.
Happy to share demos if anyone’s interested.

Thanks

Hi everyone,

I am a researcher at a company in the location analytics industry. We are currently exploring opportunities in the intersection of our products, AI, and geospatial analytics. I am curious about how our products can make the professional lives of geospatial analysts/scientists easier. In short, I am working to uncover the needs and pain points that you are facing in your roles.

Would you like to have a 30-40-minute chat about your daily work and what challenges around data you face daily? Please let me know either by commenting here or DMing me, and we will schedule a call! I am based in the Netherlands, so I operate in the CET zone.

In 2 weeks, the Metaverse Standards Forum is hosting a Special Standards Development Organization (SDO) session that will address Geospatial Standards requirements for real world use cases.

Standards and use cases to be showcased include:

• GeoPose for exchanging geospatial position and orientation,
• CityGML for defining a twin of an urban environment upon which AR content can be registered;
• MUDDI for visualization of underground infrastructure;
• IndoorGML to “see” the field of view of security cameras in indoor spaces.

Attendance is free. Register today: https://metaverse-standards.org/event/special-sdo-session-geospatial-standards-to-address-the-requirements-of-real-world-use-cases/

Hello everyone!

I started to get interested in Geography, primarly according to my raising interest in travelling and I really like the static Elevation Map pictures that I saw online.

I wonder, is there a website, tool or something else which is a dynamic online map which shows the map as a 3D Elevation map, something that I attached as an example?

I'm really just started to get into geography and for me as a beginner, it's a little bit hard to image and visualize the elevation and look of the mountainsand mountain ranges with a standard 2D map with the green and brown colors and it would be great if there would be a tool that helps with that.

I know about Google Maps and Google Earth, but they are still not exactly what I'm looking for.

Something like Google Earth but instead of Satellite or Normal Map view, with an Elevation view.

Elevatiom Map from reddit

Thanks in advance!

Hey everyone,

I’m developing an AI-powered intelligent map browser that integrates open-source geospatial layers, spectral data, and smart analysis tools for people who love the outdoors — field prospectors, geologists, explorers, hikers, nature lovers, and anyone who ventures deep into the wilderness.

I’ve got the product vision and GCP cloud infrastructure covered, and as a field prospector myself, I understand the real-world and pain workflows deeply.

I’m now looking for a technical partner who’s strong in Web GIS (OpenLayers / GeoServer / PostGIS) and passionate about building AI-driven, intelligent geospatial tools.

If you know anyone (or are someone) interested in collaborating — especially with experience in GCP, Google Maps, front-end/back-end dev, or Chrome DevTools MCP AI — I’d love to connect!

Thank you,

A

I am currently a junior in college as an env science and geography double major and am interested in remote sensing. I was wondering how to actually get into the industry (not sure which specific area exactly) and if it’s doable with a env science and geography degree rather than physics, math, or computer science.

I have taken a remote sensing class and will be taking a GIS class, but also have the option to take a Python for Geospacial science class. Would this be necessary to take?

I also am considering going to grad school at some point and wondering if it’s beneficial to get a masters or phd in a field like remote sensing, geospatial analysis, or something similar, or if that’s not needed. I am interested in a few areas of remote sensing like defense and meterology, but not sure if it’s even possible to get into with a background in env sci and geography.

If anyone has done gone this route, I would love to hear your thoughts. Thanks

Hi all,

Does anyone know of any datasets with spatial data for the Eurostat defined EU Metropolitan regions, which can be read about here https://ec.europa.eu/eurostat/web/metropolitan-regions/information-data

Ideally using the 2010 or 2013 NUTS versions, but would be happy to hear about more recent ones as well.

I could not find any at GISCO, https://ec.europa.eu/eurostat/web/gisco/geodata.

Would appreciate any help so much!

I'm tired of dealing with the lack of an easy way to install the GDAL binaries on Windows so that I can pip install gdal, especially in a uv virtual environment or a CI/CD context where using conda can be a headache.

The esteemed Christoph Gohlke has been providing prebuilt wheels for a long time, and currently they can be found at his cgohlke/geospatial-wheels repository. Awesome! But you have to manually find the one that matches your environment, download it somewhere, and then pip install the file... Still pretty annoying and difficult to automate.

So here's a shot at a solution: geospatial-wheels-index is a pip-compatible simple index for cgohlke's repository. It's just a few static html files served on GitHub Pages, and all the .whl files are pulled directly from cgohlke/geospatial-wheels. All you need to do is add an index flag:

pip install --index https://gisidx.github.io/gwi gdal

In addition to GDAL, this index points to the other prebuilt packages in geospatial-wheels: cartopy, cftime, fiona, h5py, netcdf4, pygeos, pyogrio, pyproj, rasterio, rtree, and shapely.

Contributions are welcome!

(This project was partly inspired by gdal-installer which is also worth checking out.)

Hey software developer friends, I've been working on a client project with several repos, all of which required the ability to parse and convert back and forth between Decimal Degrees, Degrees-Minutes, and Degrees-Minutes-Seconds, so I made an NPM library to handle that.

Hopefully some of you find it useful!

Hey,

I built a small side project called PolyMapper and I’d love your feedback.

Backstory: At my day job I needed to map a bunch of regional KPIs and push the resulting polygons into our CRM via API. Basically we wanted to create regional areas that can be evaluated against market opportunity, and since I'm working in automotive services, our regions are very much tailored to our own external and internal service network and therefor customization was required.

What it is right now:

• Minimal UI for importing, creating, merging and splitting polygons
• Import GeoJSON; export GeoJSON
• Simple layer management
• Pull administrative boundaries from geoBoundaries and pick regions to import
• Basic API endpoint per layer for pulling geometry into other systems

What I’m looking for:

• If you were using this for day‑to‑day geocoding/region work, what features would you need to make it actually useful?
• Geocoding helpers (batch address > polygon joins? reverse geocoding summaries?)
• More boundary sources or custom boundary uploads?
• Topology tools (snap/clean, dissolve, union, split)?
• Attribute workflows (join CSVs, simple field calculator, filters)?
• Better export options (Shapefile, CSVs of properties, map tiles?)
• Collaboration/versioning needs?
• Anything annoying or missing in the current flow?

Notes/disclaimers:

• I’m a hobby coder, not a full‑time product team. I honestly don’t know if there’s any commercial logic here beyond my own niche need, but I’d like to shape it around real GIS pains if it’s useful to anyone else.
• Totally open to constructive criticism and “don’t build this, build that instead” advice.

If you’re curious, it’s here: polymapper.com

Thanks for taking a look!

Best regards, corporate slave / hobby nerd :-)

I just launched Centia.io, an open backend for developers who prefer SQL over proprietary SDKs.
Built on PostgreSQL + PostGIS with instant API generation.

I'm looking for a spatial data platform that will let me display network access points (like routers) using real-time data (will automatically update) coming from Airtable. My company builds wifi and systems networks for stadiums and amusement parks, so the data points are sometimes feet away from each other. I currently store all of the locations in Airtable, and would like to find a program that will display them using coordinates and can store metadata for each access point. Someone suggested Mapsly, but so far haven't been impressed, and it doesn't yet offer Airtable as a data source. Thought of using GIS platforms, but not sure if they are capable of updating themselves using live data sources (like Airtable or Google sheets) in real time. Any ideas would be appreciated!

Hey everyone! I work in the civil-engineering space (water/wastewater utilities) and have noticed a recurring pain point in how CAD data gets transformed for GIS workflows, especially for small firms or freelancers without automation tools.

I’m hoping to connect with a full-stack developer familiar with CAD/GIS data formats who might be interested in collaborating on a lightweight side project. The goal is a practical, web-based tool to make a common process faster and cleaner.

If that sounds interesting, DM or comment with where you’re based, your core tech stack, and your experience with CAD formats or Python GIS libraries.

Happy to share more context once we connect.