The focus of this paper is on the neural network approach to modelling origin-destination flows across geographic space. The novelty about neural spatial interaction models lies in their ability to model non-linear processes between spatial flows and their determinants, with few – if any – a priori assumptions of the data generating process. The paper draws attention to models based on the theo...

This paper describes research carried out in the area of mobile spatial interaction and the development of a mobile (i.e. on-device) version of a simulated web-based 2D directional query processor. The TellMe application integrates location (from GPS, GSM, WiFi) and orientation (from digital compass/tilt sensors) sensing technologies into an enhanced spatial query processing module capable of e...

BACKGROUND The United States Environmental Protection Agency's Toxic Release Inventory (TRI) data are frequently used to estimate a community's exposure to pollution. However, this estimation process often uses underdeveloped geographic theory. Spatial interaction modeling provides a more realistic approach to this estimation process. This paper uses four sets of data: lung cancer age-adjusted ...

This paper presents a study of variability in the realisation of voicing timing in phonologically voiced (European) French stop consonants. Data derived from an acoustic analysis of recordings of read speech by male and female speakers from northeastern and southwestern France are compared. The results reveal sexspecific patterning consistent with findings elsewhere that female speakers tend to...

In this paper we describe a fully implemented prototype for interactive storytelling using the UnrealTM engine. We describe the important mechanisms involved in the variability of plot instantiations, within a scenario of sitcom genre. We also provide an evaluation of the concepts of how the dynamic interactions between agents and/or the user influence the generation of story, with first result...

The importance of land surface-atmosphere interactions, principally the effects of soil moisture, on hydrological, meteorological, and ecological processes has gained widespread recognition over recent decades. Its high spatial and temporal variability however, makes soil moisture a difficult parameter to measure and monitor effectively using traditional methods. Microwave remote sensing techno...

In this paper we describe a fully implemented prototype for interactive storytelling using the UnrealTM engine. We describe the important mechanisms involved in the variability of plot instantiations, within a scenario of sitcom genre. We also provide an evaluation of the concepts of how the dynamic interactions between agents and/or the user influence the generation of story, with first result...

In order to act in urban environments an individual access various types of knowledge, such as memories, spatial strategies and also information from the environment in order to develop plans and make decisions. This paper will investigate the nature of spatial knowledge acquisition by comparing performance in a task where the subjects learnt the environment using spatial assistance; either fro...