Temporal data: Difference between revisions
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{{Quotation|A temporal data denotes the evolution of an object characteristic over a period of time.|[Daassi and Nigay, 2004]}} | {{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 | {{Quotation|Time dependent data is characterized by data elements being a function of time. In general, data takes the form | ||
:d = f(t) | :''d = 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 = {(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 = {(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> = f(t<sub>i</sub>)|[Müller and Schumann, 2003]}} | :''d<sub>i</sub> = f(t<sub>i</sub>)''|[Müller and Schumann, 2003]}} | ||
Time-series are a part of the broader field of time-oriented data: | 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: | {{Quotation|Time series data is characterized by data elements being a function of time. In general, this data takes the following form: | ||
:D = {(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 = {(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> = f(t<sub>i</sub>) | :''y<sub>i</sub> = f(t<sub>i</sub>)''|[Weber et al., 2001]}} | ||
== Remarks == | == Remarks == | ||
Revision as of 02:47, 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 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]
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.