Context: Big data has become the new buzzword in the information and communication
technology industry. Researchers and major corporations are looking into big data …

Interpreting spatial data to derive information is a core task in the field of Geographic
Information Science and Technology. A logical step following the collection of data in online …

Distributed information infrastructures are increasingly used in the geospatial domain. In the
infrastructures, data are being collected by distributed sensor services, served by distributed …

Geo-analysis models can be shared and reused via model-services to support more
effective responses to risks and help to build a sustainable world. The deployment of model …

Geographic information has become central for data scientists of many disciplines to put
their analyzes into a spatio-temporal perspective. However, just as the volume and variety of …

In Geographic Information Systems (GIS), geoprocessing workflows allow analysts to
organize their methods on spatial data in complex chains. We propose a method for …

Web services, cloud computing, location based services, NoSQLdatabases, and Semantic
Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both …

Participatory modeling is an important approach for solving complex geo-problems from a
comprehensive and holistic viewpoint, and it brings together stakeholders from multiple …

This paper focuses on the design and development of a Spatial Data Infrastructure (SDI)-
compliant online system for air quality information retrieval, including support for real-time …

Cloud computing has redefined the way in which Spatial Data Infrastructures (SDI) and Web
geoportals are designed, managed, and maintained. The cloudification of a geoportal …