With the rise of GPS-enabled smartphones and other similar mobile devices, massive amounts of location data are available. However, no scalable solutions for soft real-time spatial queries on large sets of moving objects have yet emerged. In this paper we explore and measure the limits of actual algorithms and implementations regarding different application scenarios. And finally we propose a n...

Several d&rent data structures, generally grouped in Raster and Vectors representation models, are used to store images and all hinds of spatial data. One solution, for a spatial data manipulation language to be independent of the storage model, is to base the language on the spatial relations of objects (i.e. the positions of objects relative to each other). This paper proposes a logic interme...

The development, design, manufacturing and maintenance of modern engineering products is a very expensive and complex task. Shorter product cycles and a greater diversity of models are becoming decisive competitive factors in the hard-fought automobile and plane market. In order to support engineers to create complex products when being pressed for time, systems are required which answer collis...

This paper is a literature review of a new algorithm for mining association rules in a spatial database. Spatial data mining, or knowledge discovery in large spatial databases, is the process of extracting implicit knowledge, spatial relations, or other patterns not explicitly stored in spatial databases. Recently, there has been a lot of research in data mining and these studies led to a set o...

Spatial data are often stored in a database with thefinest level of details. The problem of cartographic generalization of spatial data concerns deriving spatial data with proper level of details when the data are used for an application. The generalization process is not simply a process of selecting objects or parts of objects suitable for an application. It should maintain the semantic infor...

In this pupcar, we propose U spaliul qwrv languagt., called GSQL, to hurdle complex spatial olvects such us points, lines, rectangles, or polygons. To implemcvtt the ypatiul operutors such JS nearest, furthest, intersect, CO ver, adjacent-to, end-at, and distance. we present U two-phase query processing technique ionwt ing of a filter phase urd a refinement phase. The filter phase i s h u e d o...

The constitution of multi-scale spatial databases is closely linked to map generalisation. Elements of a multi-scale spatial database include multi-scale data models, multi-scale data storage schemes, methods to generate multi-scale datasets and methods to access these datasets and present results. In this paper we proposed a formal multi-scale spatial data model with an information-rich struct...

Despite the attention that direction relations have attracted in domains such as Spatial Query Languages, Image and Multimedia Databases, Reasoning and Geographic Applications, they have not been extensively applied in spatial access methods. In this paper we define direction relations between two-dimensional objects in different levels of qualitative resolution and we show how these relations ...

Advances in GIScience related to spatial uncertainty are relevant to severe weather warning production and weather forecasting in general. Sources of uncertainty in radar imagery are presented, as well as cognitive aspects of warning text. In order to make warnings more specific it is necessary to first understand the inherent fuzziness of natural language. Automating some aspects of warning ge...