An important component of spatial data quality is the imprecision resulting from the resolution at which data are represented. Current research on topics such as spatial data integration and generalisation needs to be well-founded on a theory of multi-resolution. This paper provides a formal framework for treating the notion of resolution and multi-resolution in geographic spaces. It goes furth...

Spatial Simulation in the context of Geographic Information Systems (GIS) is used primarily to assess the evolution of spatial variables over time. Since the 1990s two main techniques have been applied to perform this sort of spatial analysis: Cellular Automata [1] and Agent-based modelling [2]. The simulation models produced with these methods tend to be quite specific, only usable within the ...

Multi-agent Systems (MAS) offer a conceptual approach to include multi-actor decision making into models of land use change. The main goal is to explore the use of MAS to simulate spatial scenarios based on modelling multi-actor decision-making within a spatial planning process. We demonstrate MAS that consists of agents representing organizations and interest groups involved in an urban alloca...

This paper presents an unsupervised algorithm for co-segmentation of a set of 3D shapes of the same family. Taking the oversegmentation results as input, our approach clusters the primitive patches to generate initial guess. Then, it iteratively builds a statistical model to describe each cluster of parts from previous estimation, and employs the multi-label optimization to improve the co-segme...

By adopting multiple-input-multiple-output (MIMO) antenna technologies, IEEE 802.11 wireless LANs are evolving into high speed systems. While only one user can transmit at a time in the conventional IEEE 802.11 systems, we investigate the possibility of multiuser transmission by using MIMO antennas, which is now known as multiuser MIMO. The multiuser MIMO technique enables multiple users to rec...

In this paper, we investigate the problem of efficiently computing a multi-way spatial join without spatial indexes. We propose a novel and effective filtering algorithm based on a two phase partitioning technique. To avoid missing hits due to an inherent difficulty in multi-way spatial joins, we propose to firstly partition a join graph into sub-graphs whenever necessary. In the second phase, ...

Remote imaging at high spatial resolution has a number of environmental, industrial, and military applications. Analysis of high-resolution multi-spectral images usually involves either spectral analysis of single pixels in a multi-or hyper-spectral image or spatial analysis of multi-pixels in a panchromatic or monochromatic image. Although insuucient for some pattern recognition applications i...