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

Plot a range of values of a NDVI calculated in Google Earth Engine

Unlocking the Secrets of Green: Plotting NDVI Ranges in Google Earth Engine Ever wondered how scientists keep tabs on the health of our planet’s greenery from space? A big part of it involves something called the Normalized Difference Vegetation Index, or NDVI for short. Think of it as a report card for plants, telling us

Exporting layer extent information for 400 layers in QGIS?

Wrangling Layer Extents in QGIS: No Sweat Even with Hundreds of Layers Ever found yourself drowning in a sea of geospatial data, desperately needing to wrangle some sense out of it? I know I have! A common head-scratcher, especially when you’re knee-deep in QGIS, is figuring out how to snag layer extent info for a

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