Temporal data: Difference between revisions

Revision as of 03:47, 2 June 2005

Temporal data refers to data, where changes over time or temporal aspects play a central role or are of interest.

Definitions

Temporal data is data that varies over time.

[Jensen and Snodgrass, 1999]

A temporal data denotes the evolution of an object characteristic over a period of time.

[Daassi and Nigay, 2004]

Time dependent data is characterized by data elements being a function of time. In general, data takes the form

d = f(t)

For data defined at discrete time stamps t_i, this relation can be represented as:

D = {(t₁, d₁),( t₂, d₂), ..., (t_n, d_n)}

where

d_i = f(t_i)

[Müller and Schumann, 2003]

Time-series are a part of the broader field of time-oriented data:

Time series data is characterized by data elements being a function of time. In general, this data takes the following form:

D = {(t₁, y₁),( t₂, y₂), ..., (t_n, y_n)}

with

y_i = f(t_i)

[Weber et al., 2001]

Remarks

Applying exploratory (esp. timelines) as well as confirmatory methods, temporal data can be used to analyze the influence of time on a certain variable.

Synonyms

temporal data
time-oriented data
time-varying data
time-dependent data

References

[Daassi and Nigay, 2004]: Daassi, Chaouki and Nigay, Laurence and Fauvet, Marie-Christine, Visualization Process of Temporal Data, Lecture Notes in Computer Science, 3180, Springer-Verlag Heidelberg, 2004.
[Jensen and Snodgrass, 1999]: Jensen, Christian S. and Snodgrass, Richard T., Temporal Data Management, IEEE Transactions on Knowledge and Data Engineering, 11:36-44, 1999.
[Müller and Schumann, 2003]: Müller, W. and Schumann, H. S., Visualization Methods for Time-dependent Data - an Overview, In Chick, S. and Sanchez, P.J. and Ferrin, D. and Morrice, D. (editors), Proceedings of Winter Simulation 2003, New Orleans, USA, 2003
[Weber et al., 2001]: Weber, Marc and Alexa, Marc and Muller, Wolfgang, Visualizing Time-Series on Spirals 2001, In Proceedings of the IEEE Symposium on Information Visualization 2001 (InfoVis 2001), 7-14, October 2001.

@@ Line 5: / Line 5: @@
 {{Quotation|A temporal data denotes the evolution of an object characteristic over a period of time.|[Daassi and Nigay, 2004]}}
 {{Quotation|Time dependent data is characterized by data elements being a function of time. In general, data takes the form
-:d &#61; f(t)
+:''d &#61; f(t)''
-For data defined at discrete time stamps t<sub>i</sub>, this relation can be represented as:
+''For data defined at discrete time stamps t<sub>i</sub>, this relation can be represented as:''
-:D &#61; {(t<sub>1</sub>, d<sub>1</sub>),( t<sub>2</sub>, d<sub>2</sub>), ..., (t<sub>n</sub>, d<sub>n</sub>)}
+:''D &#61; {(t<sub>1</sub>, d<sub>1</sub>),( t<sub>2</sub>, d<sub>2</sub>), ..., (t<sub>n</sub>, d<sub>n</sub>)}''
-:where
+:''where''
-:d<sub>i</sub> &#61; f(t<sub>i</sub>)|[M&uuml;ller and Schumann, 2003]}}
+:''d<sub>i</sub> &#61; f(t<sub>i</sub>)''|[M&uuml;ller and Schumann, 2003]}}
 Time-series are a part of the broader field of time-oriented data:
 {{Quotation|Time series data is characterized by data elements being a function of time. In general, this data takes the following form:
-:D &#61; {(t<sub>1</sub>, y<sub>1</sub>),( t<sub>2</sub>, y<sub>2</sub>), ..., (t<sub>n</sub>, y<sub>n</sub>)
+:''D &#61; {(t<sub>1</sub>, y<sub>1</sub>),( t<sub>2</sub>, y<sub>2</sub>), ..., (t<sub>n</sub>, y<sub>n</sub>)}''
-:with
+:''with''
-:y<sub>i</sub> &#61; f(t<sub>i</sub>)}|[Weber et al., 2001]}}
+:''y<sub>i</sub> &#61; f(t<sub>i</sub>)''|[Weber et al., 2001]}}
 == Remarks ==