Category: Hiking & Activities

PyQgis create labels

PyQGIS: Ditching Default Labels and Creating Cartographic Masterpieces Let’s face it, default GIS labels are… well, they’re functional. But they rarely tell a story or make a map truly shine. That’s where PyQGIS comes in. Think of it as your secret weapon for crafting labels that not only inform but also captivate. We’re talking about

Is it okay to do analysis on coarse rainfall data, since the area calculations can be highly misleading

Decoding the Downpour: Can We Trust Coarse Rainfall Data? Rainfall data: it’s the lifeblood of so many things we care about, from keeping floods at bay and managing our water resources to helping farmers plan their crops and understanding our changing climate. But here’s the rub: the accuracy of all those crucial decisions depends heavily

V.clean cleaning topology

V.clean: Giving Your GIS Data a Good Scrub Let’s face it: GIS data can be a real mess sometimes. We’re talking imperfections that can throw off your analysis and lead to some seriously questionable decisions. A big culprit? Topology. But don’t worry, there’s a tool for that: V.clean. Think of it as the ultimate data

ArcGis Cemetery Mapping

ArcGIS Cemetery Mapping: Bringing Cemeteries to Life (Digitally!) Let’s face it: cemeteries are more than just rows of headstones. They’re living history books, quiet storytellers of our communities. But too often, these vital records are stuck in dusty ledgers and fading maps. Imagine trying to find a specific grave in a sprawling cemetery with nothing

Get the all coordinates (points ) inside a polygon boundery

Cracking the Polygon Code: Finding Points Inside the Lines Ever wondered how maps know which houses are in a specific school district? Or how a game figures out if your character is inside a designated zone? It all boils down to a common problem: figuring out if a coordinate, a simple point, lives inside a

How can I reformat xml data with fme?

Taming XML with FME: A Human’s Guide to Reformatting Data XML, or Extensible Markup Language, is everywhere. It’s the unsung hero of data storage and sharing, loved for being both readable and super flexible. But let’s be honest, its nested structure can be a real headache when you’re trying to wrangle it into a database

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