Best practices overview
This topic summarizes the key features and best practices of Ganos.
Category | Article | Description |
Basic capabilities | Polymorphic (Hot/Cold) Tiered Storage of Full-Space Data: Capability Analysis and Best Practices | Polymorphic tiered storage combines technologies such as Object Storage Service (OSS) and materialized caches. It keeps SQL insert, delete, update, and query operations transparent and can reduce storage costs to as low as one-tenth of the original. |
Geometry | Real-Time Heatmap Aggregation Query: Capability Analysis and Best Practices | Achieves real-time, second-level heatmap aggregation for tens of millions to hundreds of millions of vector objects. It resolves problems such as the inability to generate a trajectory heatmap in real time under dynamically specified filter conditions. |
Online Visualization of Billion-Level Vector Spatial Data with Hundreds of Lines of Code | Accelerates the visualization of large-scale vector data by creating a vector pyramid index. | |
Vector Quick Display Feature Getting Started Series One: 2D and 3D Vector Quick Display | The 2D vector quick display feature resolves the main problems of traditional slicing solutions in slicing time and storage overhead. By extending 2D vector slices, it also supports the visualization of Geometry3D data and efficiently displays large-scale 3D scenes. | |
Vector Quick Display Feature Getting Started Series Two: Enhanced MVT Capabilities | Resolves the unsatisfactory performance of traditional MVT dynamic vector tile technology at small scales. | |
Raster | Quickly imports raster and vector data stored in OSS into the database by using FDW. | |
Retrieves the spatial and value attributes of raster pixels to enable unified analysis of vector and raster data. | ||
Performs joint analysis of vector data and raster data, including spatial interpolation, contour line and contour surface tracing, and pixel value statistics. | ||
Low-Code Implementation of Slice-Free Remote Sensing Image Browsing (One): Pyramid | Uses dynamic slice-free technology and a window extent to visualize raster data quickly without slicing. | |
Low-Code Implementation of Slice-Free Remote Sensing Image Browsing (Two): Dynamic Raster Tiles | Uses dynamic slice-free technology to visualize raster data quickly without slicing. | |
Comprehensive Assessment of Flood Disaster-Bearing Body Loss | Performs joint analysis of vector data and raster data, converts complex models into simple Geo-SQL statements, simplifies program logic, and reduces development complexity and maintenance costs. | |
Trajectory | Efficient common processing methods for trajectory data, such as denoising, segmentation, resampling, and simplification. | |
Analyzes the accessibility of moving objects such as vehicles, ships, and people, detects trajectory stay points, and calculates trajectory similarity. | ||
Works with Flink for efficient spatial computation and data analysis. | ||
Grid | Uses geographic grids to accelerate aggregate computation. | |
A path planning algorithm based on geographic grids for use cases such as UAV routing. |