KQGIS SDK
A powerful, cross-platform GIS development toolkit designed for high-performance geospatial applications.
Built on a C++ core and integrated with 2D and 3D capabilities, it enables developers to manage and analyze massive spatial datasets with cutting-edge GIS big data technologies.
Designed to support a wide range of development environments—including Qt, Java, and .NET—KQGIS SDK is ideal for building everything from lightweight applications to large-scale enterprise GIS systems.
Key Features of KQGIS SDK
Cross-Platform Compatibility
- Built on a robust C++ engine with support for Qt, Java, and .NET development.
- Seamlessly runs across diverse software and hardware environments, including multiple CPU and GPU architectures.
- Supported CPUs: x86, Power, ARM, MIPS, Alpha—including domestic chips like Feiteng, Loongson, Shenwei, Zhaoxin, Huawei Kunpeng, and Zhongke Haiguang.
- GPU support includes NVIDIA, AMD, and domestic options like Jingjiawei.
- Stable 3D performance through OpenGL optimization, custom drivers, and in-house rendering enhancements.
Integrated 2D & 3D GIS Capabilities
- Unified platform for 2D and 3D spatial data development—no need for separate systems.
- Instantly visualize 2D data in 3D scenes without conversion.
- Easily build and render point, line, and polygon features in 3D environments.
Advanced GIS Algorithm APIs
- Access a comprehensive library of GIS algorithms, including:
- Map rendering
- Nautical chart symbolization
- Hydrological modeling
- Geostatistical analysis
- Designed to meet the technical needs of beginner to expert developers.
Extensive Development Examples
- Comes with hundreds of real-world sample projects:
- Rendering techniques, geometric visualizations, spatial engine interactions, and more.
- Includes detailed guides, runtime effects, and best practices to support third-party development.
Multi-Source Spatial Data Management
- Supports access to various commercial and open-source spatial databases:
- Commercial: Oracle, SQL Server, Access
- Open-source: PostgreSQL, MySQL, MongoDB
- Domestic: Dameng, Hango, Renmin Jincang
- Designed to streamline multi-source spatial data workflows in large-scale GIS systems.
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