Architecture of a spatial data service system for statistical analysis and visualization of regional climate changes

The use of large geospatial datasets in climate change studies requires the development of a set of Spatial Data Infrastructure (SDI) elements, including geoprocessing and cartographical visualization web services. This paper presents the architecture of a geospatial OGC web service system as an int...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2017-11, Vol.96 (1), p.12012
Main Authors: Titov, A G, Okladnikov, I G, Gordov, E P
Format: Article
Language:English
Subjects:
Climate change
Climate studies
Climatic data
Computation
Computer applications
Data processing
Data storage
Datasets
Infrastructure
Internet
Internet service providers
Metadata
Nodes
Spatial data
Statistical analysis
Statistics
Storage systems
Visualization
Web services
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The use of large geospatial datasets in climate change studies requires the development of a set of Spatial Data Infrastructure (SDI) elements, including geoprocessing and cartographical visualization web services. This paper presents the architecture of a geospatial OGC web service system as an integral part of a virtual research environment (VRE) general architecture for statistical processing and visualization of meteorological and climatic data. The architecture is a set of interconnected standalone SDI nodes with corresponding data storage systems. Each node runs a specialized software, such as a geoportal, cartographical web services (WMS/WFS), a metadata catalog, and a MySQL database of technical metadata describing geospatial datasets available for the node. It also contains geospatial data processing services (WPS) based on a modular computing backend realizing statistical processing functionality and, thus, providing analysis of large datasets with the results of visualization and export into files of standard formats (XML, binary, etc.). Some cartographical web services have been developed in a system's prototype to provide capabilities to work with raster and vector geospatial data based on OGC web services. The distributed architecture presented allows easy addition of new nodes, computing and data storage systems, and provides a solid computational infrastructure for regional climate change studies based on modern Web and GIS technologies.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/96/1/012012