Contents
What is space-time cube?
Creating a space-time cube allows you to visualize and analyze your spatiotemporal data, in the form of time-series analysis, integrated spatial and temporal pattern analysis, and powerful 2D and 3D visualization techniques. When you aggregate using a fishnet or hexagon grid, a grid cube is created.
What is space-time data?
Spatiotemporal, or spatial temporal, is used in data analysis when data is collected across both space and time. It describes a phenomenon in a certain location and time — for example, shipping movements across a geographic area over time (see above example image).
What is the hotspot analysis?
Hotspot analysis is a spatial analysis and mapping technique interested in the identification of clustering of spatial phenomena. These spatial phenomena are depicted as points in a map and refer to locations of events or objects.
How does the create space time cube work?
How Create Space Time Cube works. The Create Space Time Cube tool takes timestamped point features and structures them into a netCDF data cube by aggregating the points into space-time bins. Within each bin the points are counted and the trend for bin values across time at each location is measured using the Mann-Kendall statistic.
Where are the bins in a Space Time Cube?
The bins are used to aggregate your point data. You may decide to make each bin 50 meters by 50 meters, for example. Unless a Template Cube is specified, the bin in the upper left corner of the cube will be centered on the upper left corner of the spatial extent for your Input Features.
How are points counted in a Space Time Cube?
Summarizes a set of points into a netCDF data structure by aggregating them into space-time bins. Within each bin, the points are counted. For all bin locations, the trend for counts over time are evaluated.
What should be included in a Time Cube?
For many analyses, only locations with data—with at least one point count greater than 1 for at least one time step—will be included in the analysis. The Input Features should be points representing event data, such as crime or fire events, disease incidents, or traffic accidents. Each point should have a date associated with it.