|
SaTScan
SaTScan is a software tool that employs scan statistics for the spatial and temporal analysis of clusters of events. The software is trademarked by Martin Kulldorff, and was designed originally for public health and epidemiology to identify clusters of cases in both space (geographical location) and time and to perform statistical analysis to determine if these clusters are significantly different from what would be expected by chance The software provides a user-friendly interface and a range of statistical methods, making it accessible to researchers and practitioners. While not a full Geographic Information System, the outputs from SaTScan can be integrated with software such as ArcGIS or QGIS to visualize and analyze spatial data, and to map the distribution of various phenomena. Analysis SaTScan employs scan statistics to identify Cluster analysis, clusters of space and time phenomena. Scan statistics use regular shapes (usually circles) of varying sizes to evaluate a study a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Scan Statistics
In statistics, a scan statistic or window statistic is a problem relating to the clustering of randomly positioned points. An example of a typical problem is the maximum size of a cluster of points on a line or the longest series of successes recorded by a moving window of fixed length. Joseph Naus first published on the problem in the 1960s, and has been called the "father of the scan statistic" in honour of his early contributions. The results can be applied in epidemiology, public health and astronomy to find unusual clusters of events. It was extended by Martin Kulldorff to multidimensional settings and varying window sizes in a 1997 paper, which is () the most cited article in its journal, ''Communications in Statistics, Communications in Statistics – Theory and Methods''. This work lead to the creation of the software SaTScan, a program trademarked by Martin Kulldorff that applies his methods to data. Recent results have shown that using scale-dependent critical values for ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |