Overview

The big data GIS system which includes the storage and management of spatial big data, spatial analysis, stream data processing and visualization technology, dedicates to provide a comprehensive support for big data GIS infrastructure software and services, thus to make more users easily manage spatial big data "gold mine".

Meanwhile, traditional GIS is reconstructed based on IT big data technology, which supports the distributed storage, processing and analysis of massive classical spatial data, and achieves the performance improvement of order of magnitude.

Highlights

Reconstruction of Classical Spatial Analysis Operators by Distributed Technology
  • Reconstruction of classical spatial analysis operators for 4 categories cover 10 kinds of vector data.
  • Reconstruction of classical spatial analysis operators for 5 categories cover 18 kinds of raster data.

Providing Plentiful and Cool Spatial Visualization of Big Data.
  • Integration of open source map development library (OpenLayers, Leaflet), visualization library (Echarts, MapV)
  • Provide 2D / 3D visualization with both dynamic and static e ects.
  • Provide spatial big data visualization technology like scatter map, hot map, grid map, track map, O-D map, etc.

Provide Multiple Distributed Spatial Data Engines
  • Support HBase and HDFS engines for large scale vector / raster data.
  • Support Elasticsearch engines for stream data.
  • Support MongoDB engine for 2D map vector / grid tiles and 3D tiles.

Provide Multiple Spatial Data Analysis Operators
  • Kernel level extended Spark spatial data model.
  • Support 4 categories cover 13 kinds of big data spatial analysis operators.

Provide High-performance Distributed Dynamic Rendering Technology

Provide Intelligent Operation and Maintenance Management for Big Data GIS Environment