Mining Complex Spatial Patterns: Issues and Techniques

Grace L. Samson (), Joan Lu () and Aminat A. Showole ()
Additional contact information
Grace L. Samson: Department of Computer Science, School of Computing and Engineering, University of Huddersfield, UK
Joan Lu: Department of Computer Science, School of Computing and Engineering, University of Huddersfield, UK
Aminat A. Showole: Department of Computer Science, Faculty of Science, University of Abuja, Nigeria

Journal of Information & Knowledge Management (JIKM), 2014, vol. 13, issue 02, 1-20

Abstract: Spatial data mining is the quantitative study of phenomena that are located in space. This paper investigates methods of mining patterns of a complex spatial data set (which generally describes any kind of data where the location in space of object holds importance). We based this research on the analysis of some spatial characteristics of certain objects. We began with describing the spatial pattern of events or objects with respect to their attributes; we looked at how to describe the spatial nature/characteristics of entities in an environment with respect to their spatial and non-spatial attributes. We also looked at modelling (predictive modelling/knowledge management of complex spatial systems), querying and implementing a complex spatial database (using data structure and algorithms). Critically speaking, the presence of spatial auto-correlation and the fact that continuous data types are always present in spatial data makes it important to create methods, tools and algorithms to mine spatial patterns in a complex spatial data set. This work is particularly useful to researchers in the field of data mining as it contributes a whole lot of knowledge to different application areas of data mining especially spatial data mining. It can also be useful in teaching and likewise for other study purposes.

Keywords: Spatial data; complex systems; mining spatial patterns; knowledge discovery; data mining; autocorrelation (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649214500191
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:13:y:2014:i:02:n:s0219649214500191

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649214500191

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().