This paper describes a deductive approach to "region use" planning problems. The planning task is viewed as one of devising a complete set of policy rules by iteratively modifying the rules and making their deductive consequences readily available to the planner. The application of this approach to a National Park region zoning problem is also described. Central to the system are the representa...

This article describes SPACEREF, a corpus of street-level geographic descriptions. Pedestrians are walking a route in a real urban environment, describing their actions. Their position is automatically logged, their speech is manually transcribed, and their references to objects are manually annotated with respect to a crowdsourced geographic database. We describe how the data was collected and...

Qualitative representation of spatial information is important in large spatial databases. This type of information can be used in manipulation and analysis when no precise geometric information exist or are needed. Qualitative manipulation is particularly useful when integrating different geographic data sets, which may have been drawn from different sources at different times, which may have ...

abstractâ in this study, for spatial-temporal analyzing of cyclones in 1376, the spatial range of 30 to 80 degrees of east longitude and 0 to 80 degrees of north latitude and geo potential data with 2/ 5* 2 / 5 degrees of networking in arc levels of 1000, 925, 850, 700, 600 and 500 hpa have been used. these data are extracted for six hours (00, 06, 12, 18 zulu) database (ncep / ncar). so that, ...

one of temperature estates is hot day occurrence. in order to recognize the mechanism of this estate, surveying its spatial behavior is crucially important. in current paper it has been attempted to recognized widespread hot days and their spatial distribution by using statistical methods. accordingly maximum temperature database of iran during 1962-2008 has been used. the analyses result has i...

Both, the number and the size of spatial databases are rapidly growing because of the large amount of data obtained from satellite images, X-ray crystallography or other scientific equipment. Therefore, automated knowledge discovery becomes more and more important in spatial databases. So far, most of the methods for knowledge discovery in databases (KDD) have been based on relational database ...

Despite the importance of spatial networks in real-life applications, most of the spatial database literature focuses on Euclidean spaces. In this paper we propose an architecture that integrates network and Euclidean information, capturing pragmatic constraints. Based on this architecture, we develop a Euclidean restriction and a network expansion framework that take advantage of location and ...

Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different types of databases such as spatial databases, time series databases, biomedical databases, etc. However, few of the existing studies have considered spatial networks where points reside on every edge. In this paper, we stu...

Both the number and the size of spatial databases are rapidly growing because of the large amount of data obtained from satellite images, X-ray crystallography or other scientific equipment. Therefore, automated knowledge discovery becomes more and more important in spatial databases. So far, most of the methods for knowledge discovery in databases (KDD) have been based on relational database s...

Both the number and the size of spatial databases are rapidly growing because of the large amount of data obtained from satellite images, X-ray crystallography or other scientific equipment. Therefore, automated knowledge discovery becomes more and more important in spatial databases. So far, most of the methods for knowledge discovery in databases (KDD) have been based on relational database s...