Analysis of trajectory data is the key to a growing number of applications aiming at global
understanding and management of complex phenomena that involve moving objects (eg …

Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

The main achievements of spatio-temporal modelling in the field of Geographic Information
Science that spans the past three decades are surveyed. This article offers an overview of:(i) …

From environmental management to land planning and geo-marketing, the number of
application domains that may greatly benefit from using data enriched with spatio-temporal …

This work introduces a graph-based approach to the representation of evolving entities in
space and time. At an abstract level, the model makes a distinction between filiation and …

Background Recent years have seen an expansion in the use of Geographic Information
Systems (GIS) in environmental health research. In this field GIS can be used to detect …

Enabling the decision making process to support spatial queries is not a trivial task. This task
becomes even harder when using geographic information systems (GIS) with data …

Several application domains require handling spatio‐temporal data. However, traditional
Geographic Information Systems (GIS) and database models do not adequately support …

Successful information management implies the ability to design accurate representations of
the real world of interest, in spite of the diversity of perceptions from the applications sharing …

This chapter is concerned with multidimensional data models for spatial data warehouses.
Over the last few years different approaches have been proposed in the literature for …