Clustering Distribution includes Hotspot Analysis , Cluster and Outlier Analysis , Cluster analysis can be used to identify the locations of statistically significant hot spots, cold spots, and spatial outliers to help us analyze the problem. For example, in crime analysis, we can study where crimes are frequent and concentrated, which has an important auxiliary role in increasing the police force.
Clustering Distribution is a statistical method to classify the objects studied in the data. Such methods have a common feature: the number and structure of the categories are not known in advance. The data on which the analysis is based is the data of similarity and dissimilarity between objects. These similar (different) data can be regarded as a measure of the "distance" between objects, and the objects that are close to each other can be regarded as a class, and the objects between different classes are far away, which can be regarded as a common idea of clustering analysis methods.
Cluster analysis can solve the following problems:
- Where do clusters or cold spots and hot spots occur?
- Where do the spatial outliers occur?
- Which elements are very similar?
Related topics
Measuring Geographic Distributions