What is a spatiotemporal model?

Spatiotemporal models arise when data are collected across time as well as space and has at least one spatial and one temporal property. An event in a spatiotemporal dataset describes a spatial and temporal phenomenon that exists at a certain time t and location x.

What is spatiotemporal data?

Spatiotemporal data are data that relate to both space and time. Spatiotemporal data mining refers to the process of discovering patterns and knowledge from spatiotemporal data.

What is spatiotemporal resolution?

The spatial resolution is the amount of spatial detail in an observation, and the temporal resolution is the amount of temporal detail in an observation.

What is temporal and spatial?

Spatial refers to space. Temporal refers to time. 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 spatio temporal variability in rainfall?

Spatiotemporal analysis of rainfall variability at river basin scale in a tropical monsoon dominated region. Evidences of weakening of monsoon rainfall and strengthening of monsoon droughts. Rainfall distribution in the study area is becoming more and more symmetric over the years.

What is spatiotemporal data analysis?

Spatiotemporal data analysis is an emerging research area due to the development and application of novel computational techniques allowing for the analysis of large spatiotemporal databases. Spatiotemporal models arise when data are collected across time as well as space and has at least one spatial and one temporal property.

What is spatio-temporal analysis in Luc?

A major focus in section “ Spatio-Temporal Analysis ” is to improve an LUC model’s capability and goodness-of-fit in a range of spatio-temporal realms.

What is the spatiotemporal analysis of drought?

The spatiotemporal analysis of drought categories was done based on counting the number of stations in each year that falls under a given drought severity category. As shown in Fig. 5.8 A–D neither mild-to-moderate ( Fig. 5.8 A and B) nor severe-to-extreme categories of drought is visible.

What is an event in a spatiotemporal dataset?

An event in a spatiotemporal dataset describes a spatial and temporal phenomenon that exists at a certain time t and location x.