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Cake day: July 1st, 2023

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  • Did not, I’m describing things you can do with gis across the spectrum, ESRI or not.

    Why are you being combative? I’m not hating on them at all. I literally just rattled off common fine formats, libraries, and projects to consider. The original comment says they scraped a few things together from tutorials, and I and other comments are discussing how to build a strong foundation, then extend it.

    I’ve got no ill will for OP.


  • Agree, I don’t think I went against that. I certainly didn’t say it’s JUST geojson and web map. That was just a list of keywords. I opened by saying these are more things to get excited about.

    If it’s just esri (they said q too), but if it’s just esri, automate the boring stuff + arcpy and you’ll be a happy camper.

    Cartographic stuff is super simple in any framework. Data processing and network topology are great things to study that aren’t web map. Remote sensing is the coolest shit and you can literally get free imagery and use free tools to make surface analysis and identification…not as a super raw beginner, but not long after.

    Learning about the common open source file formats, storage strategies, and processing libraries is attainable (and desirable) by a beginner who has automate the boring stuff under their belt

    Jumping straight into esri and staying there, without getting some general education, is a good way to end up not knowing much about python, and generally developing weaker workflows.and automations, in my professional experience.

    Like I said, learn some python basics and good habits, then consider gis.


  • Get the basics locked.in before dipping into GIS. There’s a lot of odd patterns and domain specific requirements in the spatial data world, not even mentioning the nasty beast that esri is.

    Provided you listen to my above advice, here are some other keywords that will help excite the home-gis dev: geopandas, (pandas), geojson, geopackage, QGIS, leaflet (not python but easy to connect a leaflet frontend with a python backend), openstreermaps, map box, earthexplorer (USGS free aerial imagery of lots of imagery types)

    If it must be esri based, arcpy is a popular library.