When our frontend team requested updated administrative division codes, I leveraged the 2024 national standard vector map dataset (Approval No. GS(2024) 0650) shared in our previous article. This official dataset contains accurate administrative codes within its attribute tables, making it ideal for extraction.
Building upon our previous sharing of district/county-level administrative division data, we now provide the 2024 updated version sourced from China's official platform. This dataset addresses limitations in earlier versions (e.g., data gaps, insufficient detail) while maintaining cartographic compliance.
Following our previous articles on the https://malagis.com/gis-data-share-2010-2020-global-forest-age-distribution-gami-data.html and https://malagis.com/qgis-open-netcdf-file-methods-summary-solutions.html, we introduce Ncview - a specialized tool for quick visualization of netCDF format data without launching full GIS applications.
While reviewing flood reports, an unusual phenomenon caught my attention: Vietnamese ducks carried by floodwaters into Guangxi, China. This initially seemed geographically counterintuitive—Vietnam lies south of China, so why would floodwaters flow northward? Further investigation revealed fascinating hydrological realities.
While browsing NASA resources, I discovered an intriguing tool called "Your Name In Landsat". This creative application transforms text into satellite imagery mosaics - a perfect diversion as we approach the Mid-Autumn Festival.
Example output: "malagis" spelled with Landsat imagery
Following our previous article on the https://malagis.com/gis-data-share-2010-2020-global-forest-age-distribution-gami-data.html, this guide demonstrates netCDF visualization techniques in QGIS, eliminating the need for specialized tools like IDL.
TorchGeo is a PyTorch domain library, similar to torchvision, specifically designed for geospatial data. It provides datasets, samplers, transforms, and pretrained models to help machine learning practitioners work with geospatial data and enable remote sensing experts to explore machine learning solutions.
We're introducing the Global Age Mapping Integration (GAMI) dataset—a high-resolution global forest age distribution resource for 2010 and 2020.
Following our previous discussion on gaming cartography in 《Will "Black Myth: Wukong" Phenomenon Usher in a New GIS Era?》, this article explores game level design as a potential career path for GIS specialists.
When tasked with downloading decades of monthly GIS data from a restricted website, I encountered aggressive CAPTCHA challenges that blocked batch downloads. As a lazy GIS professional unwilling to perform repetitive manual downloads, I developed an automated solution.
Copyright © 2020-2025 MalaGIS Drive by Typecho & Lingonberry Sitemap
