In the previous article, QGIS 4.0 Roadmap Unveiled: Major Qt6 Migration Scheduled for October Release, we introduced some early news about QGIS 4.0. According to the official roadmap, QGIS 4.0 (based on Qt 6) was expected to be released in October 2025—around this time. However, upon checking the official website yesterday, it appears that QGIS 4.0 has been officially delayed, with the new release date now set for February 2026.
In the previous article, A Guide to Using Jilin-1 Satellite Imagery as a Basemap in ArcGIS Pro, I introduced the Jilin-1 basemap service as an alternative to China’s Tianditu maps for ArcGIS Pro users. Many readers asked whether there are other map sources available. Today, let’s look at another excellent basemap provider — Geovis Earth.
PS: I’ve actually mentioned Geovis Earth several times in earlier posts. Back then, with so many international basemap options, few paid attention. However, after ArcGIS Pro Services Blocked in China? Chinese Users Are in Trouble..., the number of stable and accessible basemap services in China has significantly decreased. In this context, Geovis Earth has become a great alternative.
Following recent announcements from the Ministry of State Security and the service suspension of ArcGIS Pro basemaps, many users have suggested switching to QGIS. However, does using QGIS truly ensure security and compliance? After several days of research, this article attempts to explore this issue and welcomes further discussion.
On September 10, 2025, the National Forestry and Grassland Administration (NFGA) announced Notice No. 12 of 2025, officially approving the establishment of the Huangyan Island National Nature Reserve. In accordance with the relevant provisions of the "Regulations of the People's Republic of China on Nature Reserves," the area, scope, and functional zoning of the Huangyan Island National Nature Reserve are hereby published. The reserve is located in Sansha City, Hainan Province, covering a total area of 3,523.67 hectares. This includes a core zone of 1,242.55 hectares and an experimental zone of 2,281.12 hectares. The primary conservation objective is the coral reef ecosystem. The main areas are shown in the figure below:
In the previous article titled "Displaying Selected Layer Count in QGIS with PyQGIS - MalaGIS", the author introduced a method to quickly view the number of selected layers using QGIS's Python API. However, if you need this functionality, you must open QGIS, then open the Python Console, locate the saved Python script file, and run it every single time. Although this process is simple, it can become tedious after repeated use. So, is there a way to automatically run a Python script when QGIS starts up? The author searched online and finally found a temporarily viable method to share today.
Preface: This article is compiled based on the author's experience with internet mapping services. While consumer map applications offer automatic location detection, professional GIS tools like QGIS lack this functionality natively. This guide demonstrates how to implement this feature.
When working with numerous layers in QGIS, it is often necessary to select multiple layers simultaneously for operations. However, with a large number of layers, it becomes difficult to quickly discern exactly how many are selected—don't worry, you can easily solve this by writing a small tool with PyQGIS!
Today, we share two methods to display the count of selected layers in real-time. These methods are straightforward to implement, with clear code, and can be tried by those in need.
In a previous article titled "「GIS Data」Chinese Geographic Region Partition Vector Data", we shared vector data on geographic region partitions. Recently, some users in our group requested geomorphological data. After searching, we actually found a 1:1,000,000 geomorphological type spatial distribution dataset from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), and are sharing it with everyone.
When working with large raster datasets in QGIS, especially Float64 GeoTIFFs with hundreds of millions of cells, you may want to locate and zoom into the pixel that holds the maximum value. This can be useful in terrain analysis, remote sensing, or any context where the peak value matters.
A common approach involves converting the raster into a point or polygon layer. However, this is resource-intensive and often impractical for large datasets. This tutorial introduces an efficient alternative using PyQGIS and NumPy to directly zoom to the maximum value without raster reclassification or vectorization.
QGIS provides two methods for creating geometries using expressions: Geometry Generator (introduced in QGIS 2.14) and Geometry by Expression (introduced in QGIS 3.0). Both leverage QGIS's expression engine but serve fundamentally different purposes. This tutorial clarifies their differences and appropriate use cases.
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