Spatio-temporal regression kriging for modelling urban NO2 concentrations

Spatio-temporal covariance modelling of CO concentrations in Madrid

We present a space-time analysis of CO levels in Madrid (Spain). Several covariances ranging from separable to nonseparable structures are fitted using weighted composite likelihood methods. Prediction and goodness-of-fit are evaluated through RMSE.

Spatio-temporal Matching for Urban Transportation Applications

In this paper we present a search problem in which mobile agents are searching for static resources. Each agent wants to obtain exactly one resource. Both agents and resources are spatially located on a road network and the movement of the agents is constrained to the road network. This problem applies to various transportation applications including: vehicles (agents) searching for parking (re...

Zoning of Bamdej Wetland Water Quality based on the Spatio-temporal Kriging

Inland wetlands are of the most important natural terrestrial types of water resources. Against its importance in protecting and improving biodiversity, air quality and macro-climatic condition of their regions, industrial development, and urbanization treat their natural existence and behavior. Therefore, monitoring and quality evaluation of wetlands are necessary to analyze and infer their na...

Spatio-Temporal Data Modelling for "4D"-Databases

Modelling spatio-temporal environmental data

A conceptual model for environmental data is presented with special emphasis on the ability to store spatio-temporal references of the data. Other aspects of the model are the ability to handle hierarchical data and semantics of the measurements. Introduction How people perceive things and their relationships is not only the basis of forming theories but also for collection and storage of infor...