GEOBD Space Big Data Platform

1Platform Overview

ATLAS spatial big data platform: a geographic information service platform that integrates data warehousing, data management, map services, data display, and data distribution.

The platform adopts a microservice architecture with high flexibility and scalability. Based on open source and self-developed geographic information technology, the GEOBD spatial big data platform is built and adapted to domestic operating systems, chips, databases, middleware, etc. The technology is completely independent and controllable.

Starting from both market demand and software technology, ATLAS focuses on small and medium-sized customers as well as some consumers in the pan GIS industry. It comprehensively cleans, integrates, and improves the existing ATLAS technology framework, and ultimately constructs a geographic information sharing and analysis service platform that integrates GIS and location services, is easy to use, and develops quickly. It solves the pan GIS business needs of small and medium-sized enterprises and consumers, and provides users with a comprehensive, fast developing, convenient to deploy, and efficient set of small and medium-sized enterprise level GIS servers, thereby providing an application service platform for small and medium-sized customers and some consumers in the pan GIS industry.

IIplatform framing

Based on the main line of spatiotemporal data processing, analysis, and publishing to business processing and publishing, a dual management and application of data and business is formed, compatible with multiple platform data and services, and the results meet multi-level application requirements. The ATLAS spatiotemporal cloud GIS platform mainly consists of five parts: data management layer, data analysis layer, geographic service layer, business function layer, and content management layer.

3、 Platform Function Composition

1. GIS data management module

Based on a comprehensive BI and big data center software architecture, a complete GIS data management loop is formed. The main functions are:

>>The upload, download, and editing functions of spatial data.

>>The conversion and sharing functions of distributed spatial data.

>>Cloud spatial data retrieval function.

>>Synchronize the management of files and spatial databases.

>>Management of third-party data (such as Tianmu, Baidu Maps, Gaode Maps, etc.).

2. Support data source formats

>> GeoTiff

> ShapeFile

>> img

>> postgis

>> mysql

>> oracle

>> mongoDB

>>Renmin Jincang

>>Da Meng

3. Spatiotemporal data analysis module

On top of the data management layer, utilize mature spatial analysis architecture to integrate spatial analysis functions of data. The main functions are:

>>Data Conversion

>>Space query and measurement

>>Classification of spatial information

>>Buffer analysis

>>Overlay analysis

>>Network analysis

>>Spatial interpolation

>>Statistical classification analysis

4. Geographic service module

Use custom tools such as GeoServer and ArcGIS to publish data and manage various maps and location services through proxy methods. The main functions are:

>>Customize WMS, WMTS, and WFS services.

>>Manage GeoServer services based on REST API.

>>Manage ArcGIS services based on REST API.

>>Manage online location services (such as Tianmu, Baidu Maps, Gaode Maps, etc.).

Main agency services:

>> OGC

>> GeoServer

>> SuperMap

>>Gaode Map

>>Baidu Maps

>>Sky map

>> ArcGIS

5. Business Function Module

Develop various types of business application modules based on different business directions and requirements, mainly including:

>>Vector editing module

>>Map marking module

>>Location management module

>>Other business modules

6. Content management layer

Based on Leaflet's GIS visualization library, it perfectly presents the content of various types of spatial data. Various visualization techniques such as points, lines, surfaces, grids, 3D, fluids, charts, and particles are used to present user data content.

The main types can be divided into:

>>Vector visualization of points, lines, and surfaces

>>Visualization of statistical information

>>Visualization of Change Comparison

>>Event visualization

>>Customize Visualization

fourPlatformdisplay

5、 Platform application scenarios

It can be widely applied in the infrastructure construction of spatiotemporal information platforms, supporting the rapid construction of various spatiotemporal big data centers. On the one hand, it serves the construction of national public space-time big data platforms, such as in the fields of digital city and smart city construction; On the other hand, it serves the construction of spatial and temporal information sharing service platforms and infrastructure platforms for the natural resources and ecological environment industries, such as land, water conservancy, agriculture and forestry, environmental protection, and reductionDisaster, planning, etc.