Journal ArticleDOI
Cluster discovery techniques for exploratory spatial data analysis
TLDR
This paper reviews approaches for automated pattern spotting and knowledge discovery in spatially referenced data and indicates that there appears to be a general lack of understanding associated with the use and application of various clustering methods in the geographic domain.Abstract:
This paper reviews approaches for automated pattern spotting and knowledge discovery in spatially referenced data. This is an emerging field which to date has received developmental contributions primarily from researchers in statistics and knowledge discovery in databases (KDD). The field of geographical information systems (GIS) has, however, recognized its importance as a means for providing more exploratory analysis functionality. Tools based upon automated approaches that identify potentially important relationships in spatial data are essential in GIS in order to effectively deal with the increasing amounts of information being gathered. Clustering techniques are proving to be valuable, but there appears to be a general lack of understanding associated with the use and application of various clustering methods in the geographic domain. Further, there is little if any recognition of the relationships between clustering methods. As a result, the development of techniques known to be problematic or inf...read more
Citations
More filters
Journal ArticleDOI
Spatio-Temporal Interaction of Urban Crime
TL;DR: Functional and visual comparisons for spatio-temporal clusters are analyzed across a range of space–time values using a comprehensive database of crime events for Cincinnati, Ohio, and empirical results suggest that robbery, burglary and assault have dramatically different spatio–temporal signatures.
Journal ArticleDOI
Exploratory Spatial Data Analysis Techniques for Examining Urban Crime Implications for Evaluating Treatment
TL;DR: In this article, the authors explored the use of geographic information systems and spatial analysis approaches for examining crime occurrence in Brisbane, Australia and highlighted novel capabilities for the analysis of crime in urban regions.
Journal Article
Annals of the American association of geographers
TL;DR: The Annals has been published since 1911 and is the journal of the American Association of Geographers (AAG) which changed its name from the Association of American Geographers effective 1 January 2016.
Journal ArticleDOI
On The Application of Fuzzy Clustering for Crime Hot Spot Detection
TL;DR: Functional and visual comparisons of fuzzy clustering and two hard-clustering approaches (medoid and k-means) across a range of cluster values are analyzed, suggesting that a fuzzy clusters approach is better equipped to handle intermediate cases and spatial outliers.
References
More filters
Some methods for classification and analysis of multivariate observations
TL;DR: The k-means algorithm as mentioned in this paper partitions an N-dimensional population into k sets on the basis of a sample, which is a generalization of the ordinary sample mean, and it is shown to give partitions which are reasonably efficient in the sense of within-class variance.
Book
Finding Groups in Data: An Introduction to Cluster Analysis
TL;DR: An electrical signal transmission system, applicable to the transmission of signals from trackside hot box detector equipment for railroad locomotives and rolling stock, wherein a basic pulse train is transmitted whereof the pulses are of a selected first amplitude and represent a train axle count.
BookDOI
Finding Groups in Data
TL;DR: In this article, an electrical signal transmission system for railway locomotives and rolling stock is proposed, where a basic pulse train is transmitted whereof the pulses are of a selected first amplitude and represent a train axle count, and a spike pulse of greater selected amplitude is transmitted, occurring immediately after the axle count pulse to which it relates, whenever an overheated axle box is detected.
Journal ArticleDOI
Finding Groups in Data: An Introduction to Chster Analysis
TL;DR: This book make understandable the cluster analysis is based notion of starsmodern treatment, which efficiently finds accurate clusters in data and discusses various types of study the user set explicitly but also proposes another.