Space time analysis. Finding spatial patterns (cluster&disperse) over time in point data sets

What is cluster spatial analysis?

Spatial cluster analysis plays an important role in quantifying geographic variation patterns. It is commonly used in disease surveillance, spatial epidemiology, population genetics, landscape ecology, crime analysis and many other fields, but the underlying principles are the same.

How do you conduct spatial analysis?

Typically, spatial analysis consists of five key stages: understanding your goal, preparing data, choosing suitable tools and techniques, performing the research, and estimating results.
 

What is space time analysis?

Space–time analysis seeks to understand when and where (and sometimes why) things occur. In the context of several of the most recent and substantial advances in individual movement data analysis (time geography in particular) and spatial panel data analysis, we focus on quantitative space–time analytics.