Kajsa Ellegård

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The ability to identify and examine patterns of activities is a key tool for social and behavioural science. In the past this has been done by statistical or purely visual methods but automated sequential pattern analysis through sophisticated data mining and visualization tools for pattern location and evaluation can open up new possibilities for(More)
Identifying patterns of activities within individuals' time diaries and studying similarities and deviations between individuals in a population is of interest in time use research. So far, activity patterns in a population have mostly been studied either by visual inspection, searching for occurrences of specific activity sequences and studying their(More)
In natural sciences the practice of using computers to visualize and analyze data was adopted early. In social and cultural studies, however, computer technology has not been as commonly used for visualization purposes. This project to visualize Time Geographical datasets, the Time Geography Project, is therefore somewhat groundbreaking.
Activity diaries are a powerful data source for studying the time use of individuals and for creating awareness of individuals' daily activity patterns. The presented project is concerned with the development of an easily accessible method for collecting and analyzing diary data which will be applicable across a wide range of industrial, governmental,(More)
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