This paper presents a survey on soil Pb concentration around Sepahanshahr town located in vicinity of Isfahan. Due to the lack of regulation and environmental education and awareness, Sepahanshahr is now a rapid growing residential area suffering from the considerable consequences of poorly regulated mining activities operating in its vicinity. The aim of this study is to explore the spatial st...

The significant growth of spatial and spatiotemporal data collection as well as the emergence of new technologies have heightened the need for automated discovery of spatiotemporal knowledge. Spatial and spatiotemporal data mining techniques are crucial to organizations which make decisions based on large spatial and spatiotemporal datasets. The interdisciplinary nature of spatial and spatiotem...

Contributions from researchers in Knowledge Discovery are producing essential tools in order to better understand the typically large amounts of spatial data in Geographical Information Systems. Clustering techniques are proving to be valuable in providing exploratory analysis functionality while supporting approaches for automated pattern discovery in spatially referenced data and for the iden...

Explosive growth in geospatial data and the emergence of new spatial technologies emphasize the need for automated discovery of spatial knowledge. Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. The complexity of spatial data and implicit spatial relationships limits the usefulness of conventiona...

Huge amounts of data have been stored in databases, data warehouses, geographic information systems, and other information repositories , and this data is still growing rapidly 4]. Companies are building data warehouses capable of storing hundreds of terabytes of data related to natural resource exploration; astronomical databases are measured in terabytes in size; and it is expected that the N...

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...

The growing production of maps is generating huge volume of data stored in large spatial databases. This huge volume of data exceeds the human analysis capabilities. Spatial data mining methods, derived from data mining methods, allow the extraction of knowledge from these large spatial databases, taking into account the essential notion of spatial dependency. This paper focuses on this specifi...