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)
The need to analyze and understand energy consumption in relation to households’ activity patterns is vital for developing policy means that contribute to an energy efficient life and what people would deem as a ―good‖ everyday life. To do this we need to learn more about how energy use is a part of everyday life; this article contributes to that objective.(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)
The aim of this article is to put Torsten Hägerstrand’s contribution to the development of the activity approach in transport geography into the context of his development of time-geography as an integrative ecological world view. This is discussed from a biographical perspective where experiences in his everyday life and scientific investigations are(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)
The purpose of this paper is to present how, using a visualization method, electricity use can be derived from the everyday activity patterns of household members. Target groups are, on the one hand, professionals in the energy sector and energy advisors who need more knowledge about household energy use, and, on the other hand, household members wanting to(More)
OBJECTIVE To investigate occupational therapists' job satisfaction under a changing regime by using a time-geographic approach focusing on the therapists' everyday working lives. PARTICIPANTS Nine occupational therapists at the Copenhagen University Hospital, Gentofte, Denmark. METHOD A mixed-method design was employed. Occupational therapists kept(More)
Ali Wali, University of Sfax, Tunisia Big data is not just about storage of and access to data. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms can’t easily scale up to big data.(More)
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