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{{Definition|'''Temporal data''' refers to a series of data originating in one concept (''stochastic variable'') yet varying over time and ordered accordingly.}}
{{Definition|'''Temporal data''' refers to data, where changes over time or temporal aspects play a central role or are of interest.}}
 


== Definitions ==
== Definitions ==
{{Quotation|Temporal data is data that varies over time.|[Jensen and Snodgrass, 1999]}}
{{Quotation|Temporal data is data that varies over time.|[Jensen and Snodgrass, 1999]}}


== Remarks ==
{{Quotation|A temporal data denotes the evolution of an object characteristic over a period of time.|[Daassi and Nigay, 2004]}}
Applying [[exploratory data analysis|exploratory]] (esp. [[Timeline|timelines]]) as well as confirmatory methods, temporal data can be used to analyze the influence of time on a certain variable.  
 
{{Quotation|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<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>)}''
:''where''
:''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>)}''
:''with''
:''y<sub>i</sub> &#61; f(t<sub>i</sub>)''|[Weber et al., 2001]}}
 
== Synonyms ==
*temporal data
*time-oriented data
*time-varying data
*time-dependent data


== References ==
== References ==
*[Daassi et al., 2004] Chaouki Daassi, Laurence Nigay, and Marie-Christine Fauvet. Visualization Process of Temporal Data, ''Lecture Notes in Computer Science'', 3180, Springer-Verlag Heidelberg, 2004.
*[Jensen and Snodgrass, 1999] Christian S. Jensen and Richard T. Snodgrass. Temporal Data Management, ''IEEE Transactions on Knowledge and Data Engineering'', 11:36-44, 1999.
*[M&uuml;ller and Schumann, 2003] W. M&uuml;ller and H. S. Schumann. Visualization Methods for Time-dependent Data - an Overview, In ''Proceedings of Winter Simulation 2003'', New Orleans, USA, 2003
*[Weber et al., 2001] Marc Weber, Marc Alexa, and Wolfgang M&uuml;ller. Visualizing Time-Series on Spirals, In ''Proceedings of the IEEE Symposium on Information Visualization 2001 (InfoVis 2001)'', p. 7-14, October 2001.


[[Category: Glossary]]
[[Category: Glossary]]

Latest revision as of 08:31, 31 August 2007

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 ti, this relation can be represented as:

D = {(t1, d1),( t2, d2), ..., (tn, dn)}
where
di = f(ti)
[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), ..., (tn, yn)}
with
yi = f(ti)
[Weber et al., 2001]


Synonyms

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

References

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