Efficient spatial query processing is very important since the applications of the spatial DBMS (e.g. GIS, CAD/CAM, LBS) handle massive amount of data and consume much time. Many spatial queries contain the multi-way spatial join due to the fact that they compute the relationships (e.g. intersect) among the spatial data. Thus, accurate estimation of the spatial join selectivity is essential to ...

Corresponding to the characteristics of multi-discipline and multi-level management, land administration always requires and acquires spatial data at very different spatial and thematic resolution. This particularity leads to many problems in spatial data acquisition and data management such as: inconsistency and difficulty in exchanging data between data sources and application disciplines. Th...

Qualitative spatial reasoning is an important analysis method for spatial information in GIS and other applications. Recently, the integration of two spatial relations in a model is a hot topic in qualitative spatial reasoning. The combinations of more than three relations and multi-types of objects are very useful for solving practical problems, but neither of them has been studied before. Fir...

We introduce an image capturing system that results in spectral image archives with sufficient spatial resolution and colorimetric accuracy for artwork imaging. In this system, a multi-band, low-spatial resolution multi-spectral image is combined with a high-spatial resolution lightness image (from either a monochrome digital or digitized photograph) to generate a high-spatial resolution spectr...

Different imaging modalities or protocols of a single patient may convey different types of information regarding a disease for the same anatomical organ/tissue. On the other hand, multi-modal/multi-protocol medical images from several different patients can also provide spatial statistics of the disease occurrence, which in turn can greatly aid in disease diagnosis and aid in improved, accurat...

In spatial data mining, a common task is the discovery of spatial association rules from spatial databases. We propose a distributed system, named ARES that takes advantage of the use of a multi-relational approach to mine spatial association rules. It supports spatial database coupling and discovery of multi-level spatial association rules as a means for spatial data exploration. We also prese...

This paper reports the development of a new spatial simulation model of landscape dynamics – DINAMICA, which presents: 1) multi-scale vicinity-based transitional functions, 2) incorporation of spatial feedback approach to a stochastic multi-step simulation engineering, and 3) the application of logistic regression or weights of evidence to calculate the spatial dynamic transition probabilities....