Titlebook: Recent Developments in Spatial Analysis; Spatial Statistics, Manfred M. Fischer (Director),Arthur Getis (Chair Book 1997 Springer-Verlag

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Computational Process Modelling of Disaggregate Travel Behaviouriours that result from deliberate choice. For example, a significantly large part of work-trip behaviour is routinized; individuals tend to use the same mode for each trip, to leave their home base at approximately the same time, to aim at arriving at approximately the same time at their work place,

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Modelling Non-Work Destination Choices with Choice Sets Defined by Travel-Time Constraintsng to the choice of one alternative over all other alternatives that could be picked at the time of decision. The universe of alternatives is reduced in the first stage to a smaller set called the . or . whose construction hinges upon one’s knowledge and awareness of choice alternatives, the feasibi

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Space-Time Consumer Modelling, Store Wars, and Retail Trading Hour Policy in Australiat changes of `when’ and `where’ consumers, on aggregate, undertake their shopping trips in a deregulated trading hour environment. Originally conceived in Baker (1985), the retail aggregate space-time trip (RASTT) model is constructed around a differential equation of spatial and temporal operators,

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A Multi-Objective Model for Developing Retail Location Strategies in a DSS Environmentocate facilities and how consumers and producers will react to new developments. The central aim of spatial decision support system (DSS) is to improve the effectiveness of locational decisions by making data and (analytic) models accessible to decision makers (Densham and Rushton, 1988; Armstrong a

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Recent Developments in the Modelling of Strategy Reformulationther because they are inherently idiosyncratic or because they are irrelevant when gauged against structural conditions shaping the overall direction of change within the industry. An unfortunate consequence of this limiting mind set is the pervasive implicit or explicit assumption that firms within

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Neurocomputing for Earth Observation — Recent Developments and Future Challengese terrestrial environment. Its primary advantages over ground-based survey approaches are timeliness, spatial coverage, and low cost, though these advantages are often bought at the expense of descriptive precision. However, the enormous wealth of timely and low cost information, coupled with the ne

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Fuzzy ARTMAP — A Neural Classifier for Multispectral Image Classificationral network applications in this area is relatively new, dating back only about six to seven years. The first studies established the feasibility of error-based learning systems such as backpropagation (see Key et al., 1989, McClellan et al., 1989, Benediktsson et al., 1990, Hepner et al., 1990). Su

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Book 1997any universities. Its popularity is due mainly to new technologies and the development of spatial data infrastructures. This book illustrates some recent developments in spatial analysis, behavioural modelling, and computational intelligence. World renown spatial analysts explain and demonstrate the