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About Lecture09 - Spatiotemporal Models
This document provides an overview of spatio-temporal models. It discusses how spatial models can be extended to include a temporal component by indexing data by both location s and time t. Common spatio-temporal models assume the data follows a mean process μ(s,t) plus a spatially and temporally dependent error w(s,t) and independent error ε(s,t). The covariance between observations depends on both spatial distance ||s-s'|| and temporal lag |t-t'|. Separable models that factor the covariance into independent spatial and temporal components are discussed as they simplify parameter estimation and prediction.
Detailed Information
| Author: | ['PrashantaBajracharya'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 45 |
| Language: | English |
| Format: | |
| Price: | FREE |
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