At UC 2024 there was a comprehensive talk on Procedural art with #QGIS from Johannes Kröger.
https://m.youtube.com/watch?v=ozNnjDhB1_0
@RagnarHeidar
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We recently had a question about the daily active #OpenStreetMap contributors. On weekdays, there are approximately 6,000 contributors worldwide. They add around 1.6 million nodes, modify about 350,000, and delete around 250,000 nodes.
Many more details can be found here: https://osmstats.neis-one.org/
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Just stumbled upon a #crowdfunding wishlist from Spatial Thoughts for #QGIS processing and the #ModelBuilder. It's packed with features I've been eagerly awaiting! 🚀
Sharing this for anyone in the #geospatial community looking for a high-impact project in 2024.
🔗 https://github.com/spatialthoughts/projects/wiki/QGIS-Processing-Crowdfund-2021-Ideas
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I'm diving deeper into the world of raster data in #geospatial analysis, specifically in the context of #QGIS. I'm looking for comprehensive, long-read literature that can expand my understanding and skills in this area.
Already on my desk is "QGIS for Hydrological Applications - Second Edition" by @hansakwast. If you have any recommendations for similar in-depth resources, especially those that delve into advanced techniques or unique applications, I'd love to hear about them. #gis #gischat
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🚀 Join #McKinsey in #Düsseldorf as a Capabilities & Insights Specialist (m/w/d) – #Geospatial #Analytics!
[#]job #GIS #hiring #QGIS #Alteryx
https://karriere.mckinsey.de/karriere/search-jobs/jobs/capabilitiesinsightsspecialistmwdgeospatialanalytics-83820
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Spain lives in flats: why we have built our cities vertically
Great geospatial and data story telling by By Raúl Sánchez and Analía Plaza from eldiario
https://especiales.eldiario.es/spain-lives-in-flats/
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When You process data in #QGIS do You often see "Please fix the geometry" or "No spatial index exists for input layer, performance will be severely degraded"?
I workaround this by
How do You handle this? Discuss on Github:
https://github.com/qgis/QGIS/issues/55175
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Evaluating QField as a Mobile GIS Solution
for Archaeological Survey
The main advantages of QField are:
a) low cost
b) offline operation
c) ergonomics of touch-screen operation
d) customization of portable project
e) support of wide range of GIS compatible formats
f) interoperability with desktop applications without need to convert data
cited from: https://dx.doi.org/10.15496/publikation-87753
[#]QGIS #QField #GIS
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Visual change log for #QGIS 3.34
One highlight: New ‘Calculate expression’ algorithm for use in models
The new “Calculate expression” algorithm will calculate the results of a QGIS expression and make the result available for use in other parts of the model.
It avoids the need to use the same expression multiple times throughout a model if the same result needs to be used more than once and provides additional use cases.
https://www.qgis.org/en/site/forusers/visualchangelog334/index.html
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Working on a geospatial challenge with a 100m pop. raster. For each ZIP code, I want to find the area with max population within 500m - but only considering pop. within that ZIP. Any ideas on how to tackle this using solely raster ops in #QGIS? 🌍🛰️ #GeospatialPuzzles
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🚀 Just got a game-changing #QGIS plugin recommendation from a colleague that's perfect for anyone needing to quality check multiple features! Introducing: Go2NextFeature3.
🔍 What does it do? It lets you effortlessly jump from one feature to the next based on an attribute order.
🔑 Key Features:
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Deep dive into #QGIS raster tools today! 🌍 I'm impressed with the Zonal histogram tool. It smartly appends fields with counts of each unique raster value found within defined polygon zones.📊 Such a useful feature! Still, I'm wondering why there isn't a direct counterpart for vector features. Anyone else noticed this? Would love to hear your thoughts or workarounds! #GISchat
Example for the postcodes in #Duisburg and the corine land cover raster data.
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Just discovered the "Raster Layer Unique Values Report" tool in #QGIS. It provides counts & areas of unique values for raster layers. Amazingly fast — only 7 seconds for a global 1x1Km raster! 💡🌍
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Greetings from #Duisburg, #Germany.
I'm a #Geospatial #Analyst
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