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Abstract
This paper introduces an innovative representation of time series data, namely, the Continuous Triangular Model (CTM). In CTM, time series data of different intervals are displayed by a continuous field. Every position in the field represents a specific time interval. From the bottom to the top, the length of intervals increases. The value at each position represents a certain kind of information during the interval. In this paper, we show that CTM provides a direct overview of time series data at multiple scales. On the other hand, sets of intervals that are decided by values in the third dimension can be represented by areas in the CTM field, forming a basis for answering queries with non-temporal constraints. Besides time series data, CTM can also be applied to other types of sequential data. Since CTM represents data in a two-dimensional space, a lot of techniques in geographical information science are available to manipulate and analyse CTM.
Keywords
Geographical Information Science, Time Series Analysis, Triangular Model, Continuous Triangular Model, Time Interval

Citation

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Chicago
Qiang, Yi, Katrin Asmussen, Matthias Delafontaine, Steven Logghe, Philippe De Maeyer, and Nico Van de Weghe. 2010. “Visualising and Analysing Time Series Data in GIS.” In 13th AGILE Conference on Geographical Information Science : Geospatial Thinking, Abstracts.
APA
Qiang, Yi, Asmussen, K., Delafontaine, M., Logghe, S., De Maeyer, P., & Van de Weghe, N. (2010). Visualising and analysing time series data in GIS. 13th AGILE conference on geographical information science : geospatial thinking, Abstracts. Presented at the 13th AGILE conference on Geographical Information Science : Geospatial Thinking.
Vancouver
1.
Qiang Y, Asmussen K, Delafontaine M, Logghe S, De Maeyer P, Van de Weghe N. Visualising and analysing time series data in GIS. 13th AGILE conference on geographical information science : geospatial thinking, Abstracts. 2010.
MLA
Qiang, Yi, Katrin Asmussen, Matthias Delafontaine, et al. “Visualising and Analysing Time Series Data in GIS.” 13th AGILE Conference on Geographical Information Science : Geospatial Thinking, Abstracts. 2010. Print.
@inproceedings{1233072,
  abstract     = {This paper introduces an innovative representation of time series data, namely, the Continuous Triangular Model (CTM). In CTM, time series data of different intervals are displayed by a continuous field. Every position in the field represents a specific time interval. From the bottom to the top, the length of intervals increases. The value at each position represents a certain kind of information during the interval. In this paper, we show that CTM provides a direct overview of time series data at multiple scales. On the other hand, sets of intervals that are decided by values in the third dimension can be represented by areas in the CTM field, forming a basis for answering queries with non-temporal constraints. Besides time series data, CTM can also be applied to other types of sequential data. Since CTM represents data in a two-dimensional space, a lot of techniques in geographical information science are available to manipulate and analyse CTM.},
  author       = {Qiang, Yi and Asmussen, Katrin and Delafontaine, Matthias and Logghe, Steven and De Maeyer, Philippe and Van de Weghe, Nico},
  booktitle    = {13th AGILE conference on geographical information science : geospatial thinking, Abstracts},
  keyword      = {Geographical Information Science,Time Series Analysis,Triangular Model,Continuous Triangular Model,Time Interval},
  language     = {eng},
  location     = {Guimar{\~a}es, Portugal},
  title        = {Visualising and analysing time series data in GIS},
  year         = {2010},
}