We're introducing the Global Age Mapping Integration (GAMI) dataset—a high-resolution global forest age distribution resource for 2010 and 2020.
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 article 《「GIS Data」Global Maximum Personal Income Tax Rates for 2023》, many readers requested guidance on visualizing the data. This guide demonstrates a rapid technique to acquire global administrative boundaries using native QGIS functionality - no plugins required.
Note: While remarkably simple, this approach requires boundary verification, particularly for China.
With the rapid development of AI technologies—such as in our earlier article A First Look at Using Segment Anything for GIS and the booming trend of generative AI—many GIS professionals might wonder: is there an AI tool that can help with vectorization tasks? The answer is yes. In this article, we will explore how to use an AI-powered plugin in QGIS to automate vectorization.
We're sharing a valuable 2023 global soil erodibility dataset acquired through complex application procedures. This resource is particularly useful for GIS researchers conducting soil erosion studies.
While processing personal income tax returns, I compiled global income tax data into a GIS-compatible CSV format suitable for mapping in ArcGIS or QGIS.
While developing a workflow involving spatial data duplication, an analyst requested help with client requirements:
① Convert individual polygons to WKT format in TXT files
② Merge multiple polygons into MultiPolygon WKT format
In a previous article "Adding Centroid Coordinates in QGIS Using Field Calculator", we demonstrated adding centroid coordinates via QGIS. This article explains the mathematical principles behind centroid calculation for polygons.
When working with large SHP boundary files, exporting coordinates of specific district boundaries to TXT is straightforward in QGIS. Here are three approaches:
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