Visualising and analysing time series data in GIS
Yi Qiang, Katrin Asmussen, Matthias Delafontaine, Steven Logghe, Philippe De Maeyer, Nico Van de Weghe · Ghent University Academic Bibliography (Ghent University) · 2010
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.