Undoubtedly, public spaces can be considered as an essential factor, which could contribute to urban arrangement, create and maintain a strong local center and enhance the quality of superior environment and the sense of citizenship. Moreover, integrity has always been the most basic structural qualities and one of the key principles of cities. Integrated urban spaces exhibit the integrated str...

identification of rapid degradation of ecological resources requires effective environmental monitoring including ecological integrity assessment .our first aim is to analyze ecological integrity in a landscape context while developing a method to assess integrity in spite of a dearth of historical data. we used a spatial-temporal reference framework for land cover maps for assessing ecologica...

Spatial datacubes (also called "spatial multidimensional databases") are the cornerstone of the emerging Spatial On-Line Analytical Processing (SOLAP) technology. They are aimed at supporting Geographic Knowledge Discovery (GKD) as well as certain types of spatial decision-making. Although these technologies seem promising at first glance, they may provide unreliable results if one does not con...

A number of integrity constraints must be observed when updating a database, in order to preserve the semantics and the quality of stored data (Elmasri & Navathe, 2000). Achieving and preserving the integrity of data is an established field in the database area. However, within the scope of geographic applications, special problems come up due to the locational aspects of data (Plumber & Groger...

identification of rapid degradation of ecological resources requires effective environmental monitoring including ecological integrity assessment .our first aim is to analyze ecological integrity in a landscape context while developing a method to assess integrity in spite of a dearth of historical data. we used a spatial-temporal reference framework for land cover maps for assessing ecological...

A spatial dataset is consistent if it satisfies a set of integrity constraints. Although consistency is a desirable property of databases, enforcing the satisfaction of integrity constraints might not be always feasible. In such cases the presence of inconsistent data may have a negative effect on the results of data analysis and processing and, in consequence, there is an important need for da...

Semantic integrity constraints specify relations between entity classes. These relations must hold to ensure that the data conforms to the semantics intended by the data model. For spatial data many semantic integrity constraints are based on spatial properties like topological or metric relations. Reasoning on such spatial relations and the corresponding derivation of implicit knowledge allow ...

Spatial multidimensional databases (also called "spatial datacubes") are the cornerstone of the emerging Spatial On-Line Analytical Processing technology (SOLAP). They are aimed at supporting Geographic Knowledge Discovery (GKD) as well as certain types of spatial decision-making. Although these technologies seem promising at first glance, they may provide unreliable results if one does not con...

Integrity constraints play a major role when the quality of spatial data is checked by automatic procedures. Nevertheless the possibilities of checking the internal consistency of the integrity constraints themselves are hardly researched yet. This work analyses the applicability of reasoning techniques like the composition of spatial relations and constraint satisfaction in networks of relatio...

Topologically structured data models often form the core of many users’ spatial databases. Topological structuring is primarily used to ensure data integrity; it describes how spatial objects share geometry. Supporting topology within the context of a relational database imposes additional requirements – the complex topological model must retain integrity across transactional boundaries. This c...