The spatial query has been processed in two steps, the lter step and the reenement step, due to a large volume and high complexity of the spatial data. However, this approach has been considered only in the query execution phase after completing the query optimization phase. This paper presents query optimization strategies which take the characteristics of spatial databases into account. The r...

The spatial query has been processed in two steps, the filter step and the refinement step, due to a large volume and high complexity of the spatial data. However, this approach has been considered only in the query execution phase after completing the query optimization phase. This paper presents query optimization strategies which take the characteristics of spatial databases into account. Th...

Based on the global big data environment, people have more and requirements for interior design spatial structure of buildings, traditional has been unable to meet people’s needs, importance artificial intelligence decision-making is reasonably reflected in process building space optimization. There are a variety algorithms decision-making, neural networks, correlation coefficient analysis meth...

This article describes a problem of spatial query optimization. The processing of such queries is a new area of rapidly developing domain of spatial databases. The main scope of considerations is the impact of constraints type on the speed of execution. Transformation of logical formulas is proposed for some kind of queries as a method of optimization. Proposed decompositions of queries were do...

Recently, with the development of mobile devices and crowdsourcing platform, spatial (SC) has become more widespread. In SC, workers need to physically travel complete spatial–temporal tasks during a certain period time. The main problem in SC platforms is scheduling set proper achieve based on different objectives. actuality, real-world applications optimize multiple objectives together, these...

The optimization of land-use structure is the core of optimizing the allocation of land resources, including the optimization of quantity and space. However, traditional methods such as multi-objective programming model, gray system, landscape ecology are very difficult to make the space structure and the quantity structure unified effectively. To avoid the deficiencies mentioned above, this pa...