BACKGROUND Geographic perspectives of disease and the human condition often involve point-based observations and questions of clustering or dispersion within a spatial context. These problems involve a finite set of point observations and are constrained by a larger, but finite, set of locations where the observations could occur. Developing a rigorous method for pattern analysis in this contex...

A Join Index is a data structure that optimizes the join query processing in spatial databases. Join indices use pre-computation techniques to speed up online query processing and are useful for applications which require low update rates. The cost of spatial join computation using a join-index with limited buuer space depends primarily on the page access sequence used to fetch the pages of the...

Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering methods have a role to play in spatial data mining. To this end, we develop a new clustering method called CLARANS which is based on randomized search. We also develop two spatial data mining algorithms that use CLARAN...

Mining knowledge from large amounts of spatial data is known as spatial data mining. It becomes a highly demanding field because huge amounts of spatial data have been collected in various applications ranging from geo-spatial data to bio-medical knowledge. The amount of spatial data being collected is increasing exponentially. So, it far exceeded human’s ability to analyze. Recently, clusterin...

Time series clustering algorithms have been widely used to mine the clustering distribution characteristics of real phenomena. However, these algorithms have several limitations to mine clustering characteristics in geography. First, current time series clustering algorithms fail to effectively mine clustering distribution characteristics of time series data without sufficient prior knowledge. ...

The spatial clustering of drops is a defining characteristic of rain on all scales fromcentimeters to kilometers. It is the physical basis formuch of the observed variability in rain. The authors report here on the temporal–spatial 1-min counts using a network of 21 optical disdrometers over a small area near Charleston, South Carolina. These observations reveal significant differences between ...

background: myocardial infarction (mi) is a leading cause of mortality and morbidity in iran. no spatial analysis of mi has been conducted to date. the present study was conducted to determine the pattern of mi incidence and to identify the associated factors in iran by province. materials and methods: th is study has two parts. one part is prospective and hospital-based, and the other part is ...