Recently, the research on spatial database systems has actively progressed because the applications using the spatial information such as geographic information systems, computer aided design and multimedia systems, have been increased. However, most of the research dealt with only a part of spatial database systems such as data models, spatial indexes, or spatial join algorithms. There was a l...

In this paper, Landscape Allocation using Genetic Algorithm (LAGA), a spatial multi-objective land use optimization software is introduced. The software helps in searching for optimal land use when multiple objectives such as suitability, area, cohesion and edge density indices are simultaneously involved. LAGA is a flexible and easy to use genetic algorithm-based software for optimizing the sp...

In this paper, we present our strategy for distributed spatial query optimization that involves multiple sites. Previous work in the area of distributed spatial query processing and optimization focuses only on strategies for performing spatial joins and spatial semijoins, and distributed spatial queries that only involve two sites. We propose a strategy for optimizing a distributed spatial que...

Generating prescribed patterns in spatial allocation is a difficult and complex optimization task. Many spatial allocation problems require the arrangement of resources in ways that their patterns promote some desirable landscape functions (e.g., Taylor et al.,2007; De Clercq et al., 2007; Milder et al., 2008). The complexity of the optimization task comes from the simultaneous effects of sitin...

the present study aims to provide a solution to optimize land use through multi-objective linear programming, and to solve the conflicts generated in the process using game theory, in two cities of gorgan and kurdkoy, iran. the primary land use planning was completed for seven land use through multi-criteria evaluation and then a first allocation was implanted using mola. in the secondary land ...