So far, many types of location models have been developed to find optimal spatial patterns according to different spatial metrics such as cost, coverage and availability.  The initial focus of these models is on the location availability of service providers and demand estimates, and some of these models are within the framework of multi-objective programming models.  After the advent of scienc...

This paper makes a comparative study on the various spatial scalable coding frameworks. The frameworks with multiple image-domain motion aligned temporal filtering at various spatial resolutions, named as multi-T+2D, are mainly investigated. First we investigate a multi-T+2D scheme based on redundant frame representation. The cross spatial layer redundancy and prediction methods are discussed. ...

land-use spatial allocation is a multi-objective collaborative spatial optimization methodfor rational use of the land use. based on global search capabilities and the information feedbackmechanism of ant colony optimization (aco), a land-use spatial allocation model (aco-la) isproposed. firstlyfirst, a construction graph is built for modeling the land-use spatial allocationproblem. secondlysec...

This article proposes a multi-agent based framework that allows multiple data sources and models to be semantically integrated for spatial modeling in business processing. The paper reviews the feasibility of ontology-based spatial resource integration options to combine the core spatial reasoning with domainspecific application models. We propose an ontology-based framework for semantic level ...