What is spatiotemporal pattern recognition?

A model of neural network to recognize spatiotemporal patterns is presented. Two examples of spatiotemporal pattern recognition are presented. They are achieved by giving different values to the parameters of the network. In one example, the network recognizes both directional and non-directional patterns.

How do you describe temporal patterns?

A temporal pattern is defined as a segment of signals that recurs frequently in the whole temporal signal sequence. For example, the temporal signal sequences could be the movements of head, hand, and body, a piece of music, and so on. The patterns of the body movement represent the habit of a person.

What are spatiotemporal models?

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 does spatiotemporal mean in biology?

Spatiotemporal gene expression is the activation of genes within specific tissues of an organism at specific times during development. Some are straightforward and static, such as the pattern of tubulin, which is expressed in all cells at all times in life.

What are spatial patterns?

Abstract. The spatial pattern of a distribution is defined by the arrangement of individual entities in space and the geographic relationships among them. The capability of evaluating spatial patterns is a prerequisite to understanding the complicated spatial processes underlying the distribution of a phenomenon.

What is spatio temporal data?

Data Mining Trends and Research Frontiers 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 temporal variation in geography?

(b) Under pure temporal variation, factors vary from one time to another but are constant across space. (c) Spatial and temporal variation can occur together; in this case, the factors change from one time to another but remain constant across space.

What is spatiotemporal mapping?

The spatio-temporal map is generated by mapping the values of a three-dimensional and time-evolving physical quantity into a two-dimensional space with spatial and temporal axes. Here, three-dimensional spatial information is condensed into one dimension by subdividing a target model with an octree.

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. Among many kinds of spatiotemporal data, moving-object data (i.e., data about moving objects) are especially important.

What is spatiotemporal variability?

(a) Under pure spatial variation, factors vary across a spatial transect but are constant from one time period to another. (d) Under pure spatiotemporal variation, changes in factors with both space and time create a shifting mosaic.

What is spatial distribution patterns?

Spatial distribution is the study of the relationship between objects in physical space. Where do things occur, and how do they relate to each other? In general, we expect data points to form three basic patterns. A clustered or clumped distribution occurs when data points occur together but not evenly spaced apart.