Recent evolutions in computing science and web technology provide the environmental
community with continuously expanding resources for data collection and analysis that pose …

Today's interconnected socio-economic and environmental challenges require the
combination and reuse of existing integrated modelling solutions. This paper contributes to …

Environmental information infrastructure benefits from mainstream information technologies
including workflow and service technologies. These technologies allow distributed …

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

Loose programming enables analysts to program with concepts instead of procedural code.
Data transformations are left underspecified, leaving out procedural details and exploiting …

Currently, studies on constructing integrated modeling solutions in a web-based
environment primarily focus on the chaining of different model-services, while the flow of …

In this article, we critically examine the role of semantic technology in data driven analysis.
We explain why learning from data is more than just analyzing data, including also a number …

The spatial analysis functionalities of geographic information systems (GIS) are increasingly
used across the web. Interface specifications of geoprocessing web services define the …

In the big data era, scientific and social data could complement each other for enhanced
data analysis and scientific discovery. Such capabilities could be achieved by taking an …

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 …