Converting from Lat/Lon (WGS84) to Mercator (UTM)

Cracking the Code: From GPS Coordinates to Real-World Maps (and Back Again!) Ever wondered how your phone knows exactly where you are, or how those fancy online maps pinpoint locations with such precision? A big part of the magic lies in understanding different ways of describing places on our planet. Two common systems you’ll stumble

Using Mapbox tiles with folium

Level Up Your Maps: Ditching the Default with Mapbox Tiles in Folium Okay, so you’re using Folium, right? Awesome! It’s a seriously cool Python library that lets you whip up interactive maps like a pro. You can take your data, throw it on a map, and bam, instant visualization. But let’s be honest, the default

A way to generate random/fake sensor data

Fake It Till You Make It: Generating Realistic Sensor Data Let’s face it: real-world sensor data isn’t always easy to come by. Maybe you’re building the next big IoT app, but your sensors are still on order. Or perhaps you need to stress-test your system with scenarios that are too rare (or too dangerous) to

Creating custom projection using provided Helmert Parameters and ArcMap?

Wrangling Coordinate Systems: A Human’s Guide to Custom Projections in ArcMap Ever feel like your geospatial data is speaking a different language? Like trying to fit a square peg in a round hole when you’re merging datasets? I’ve been there. A lot. Sometimes, the usual coordinate transformations just don’t cut it, especially when you’re dealing

How to hand over polygon attribute to new point while digitizing?

Passing the Torch: How to Make Polygons and Points Play Nice in GIS Ever felt like you’re drowning in data entry when digitizing in GIS? I get it. Manually typing in attributes for every single point? Forget about it! There’s a much smarter way: transferring those attributes automatically from the polygons they fall within. Think

QGIS Handling Heatmap Data Range

QGIS Heatmaps: Getting the Data Range Right (So Your Map Doesn’t Lie!) Heatmaps in GIS? They’re absolute gold for spotting patterns and densities when you’re dealing with point data. Think of them as visual magnifying glasses, helping you see where things are clustered. QGIS, being the awesome open-source tool it is, gives you some serious

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