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ClusterSeer 2.5——空间统计软件

ClusterSeer 2.3评估事情发生时是否接近一个假定的风险来源,或者它位于没有来源的群集,通过提供最先进的统计方法,为在时间与空间评估事件集。ClusterSeer 2.3包含24种方法,包括15种附加的空间,暂时的和时空聚集方法,有能力去保存项目会议,输入DBF文件,输出图像,并且载入数据去补充你的贴图。最全面的群集软件,ClusterSeer 2.3包含所有之前在Stat找到所有方法的更新版本。

Clusters of events can be caused by stimuli, or they can arise by chance. How can we tell whether an observed cluster is real? ClusterSeer evaluates disease clusters and non-disease events such as crime or sales data. You can determine whether a cluster is significant, where it is located, and when it arose, providing insight into the origin, causes, and correlates of the event.


LATEST VERSION CLUSTERSEER 2.5

ClusterSeer evaluates whether events occur near a presumed source of risk, or it locates clustering without a known focus by providing state-of-the-art statistical methods for assessing event clusters in space and time.

ClusterSeer contains 24 methods, including 15 additional spatial, temporal and spatial-temporal clustering methods, along with the ability to save project sessions, import DBF files, export images, and load in data to supplement your maps. The most comprehensive cluster software available, ClusterSeer contains updated versions of all the methods previously found in Stat!.

ClusterSeer can be used alone, or in conjunction with SpaceStat or BoundarySeer for an even fuller perspective on your data.

ClusterSeer was developed at BioMedware, using grant funding from the National Cancer Institute. These grants were awarded through scientific peer review, validating the relevance and innovation of our approach.