Identifying Meaningful Places

Place identification refers to the process of analyzing sensor data in order to detect places, i.e., spatial areas that are linked with activities and associated with meanings. Place information can be used, e.g., to provide awareness cues in applications that support social interactions, to provide personalized and location-sensitive information to the user, and to support mobile user studies by providing cues about the situations the study participant has encountered. Regularities in human movement patterns make it possible to detect personally meaningful places by analyzing location traces of a user. This thesis focuses on providing system level support for place identification, as well as on algorithmic issues related to the place identification process. The move from location to place requires interactions between location sensing technologies (e.g., GPS or GSM positioning), algorithms that identify places from location data and applications and services that utilize place information. These interactions can be facilitated using a mobile platform, i.e., an application or framework that runs on a mobile phone. For the purposes of this thesis, mobile platforms automate data capture and processing and provide means for disseminating data to applications and other system components. The first contribution of the thesis is BeTelGeuse, a freely available, open source mobile platform that supports multiple runtime environments. The actual place identification process can be understood as a data analysis task where the goal is to analyze (location) measurements and to identify areas that are meaningful to the user. The second contribution of the thesis is the Dirichlet Process Clustering (DPCluster) algorithm, a novel place identification algorithm. The performance of the DPCluster algorithm is evaluated using twelve different datasets that have been collected by different users, at different locations and over different periods of time. As part of the evaluation we compare the DPCluster algorithm against other state-of-the-art place identification algorithms. The results indicate that the DPCluster algorithm provides improved generalization performance against spatial and temporal variations in location measurements.

Place Identification : A Comparative Study

Place identification is the methodology of automatically detecting spatial regions or places that are meaningful to a user by analysing her location traces. Following this approach several algorithms have been proposed in the literature. Most of the algorithms perform well on a particular data set with suitable choice of parameter values. However, tuneable parameters make it difficult for an algorithm to generalise to data sets collected from different geographical locations, different periods of time or containing different activities. This thesis compares the generalisation performance of our proposed DPCluster algorithm along with six state-of-the-art place identification algorithms on twelve location data sets collected using Global Positioning System (GPS). Spatial and temporal variations present in the data help us to identify strengths and weaknesses of the place identification algorithms under study. We begin by discussing the notion of a place and its importance in location-aware computing. Next, we discuss different phases of the place identification process found in the literature followed by a thorough description of seven algorithms. After that, we define evaluation metrics and compare generalisation performance of individual place identification algorithms and report the results. The results indicate that the DPCluster algorithm performs superior to all other algorithms in terms of generalisation performance.

Meän tapa puhua : Tornionlaakso pellolaisnuorten subjektiivisena paikkana ja murrealueena

This folk linguistic and human geographic study deals with dialect awareness, dialect use and place attachment. The study discusses theoretical and methodological issues current in sociolinguistics suggesting that the study of attitudes should be regarded as a core area in the study of variation and change. Furthermore, it is suggested that instead of putting effort into improving mental mapping methodology (adopted into folk linguistics from behavioural geography of the 1960 s), the more up-to-date thinking of space in geography should be adopted. The region and the dialect are treated as perceptual constructs in the study. The dialect perceptions of high school seniors in the Finnish Tornio Valley are examined trough a triangulation method involving a questionnaire, interviews and dialect recognition test as the research methods. The h in non-initial syllables (e.g. lähethä(ä)n, saunhaan ~ sauhnaan let s go into sauna ) turns out, expectedly, as the most salient feature in the dialect awareness of the locals and in terms of local identity construction. This feature is no longer heard in most of the present dialects of Finnish but is still thriving in the Tornio Valley in the cross-border dialect area. The metathetic variant (saunhaan > sauhnaan into sauna , käymhään > käyhmään to go ) is a characteristic feature of the Tornio Valley dialect. However, individual differences have long been found in the use of the h. This study challenges the essentialist variationist view of social categories (gender) by analysing variation from a quantitative but emic and human geographic point of view. The study shows that the variation of the h is statistically significantly patterned in terms of the degree of feeling of insideness vs. outsideness. New light is shed on the gender differences found in earlier sociolinguistic studies: differences in dialect use between and inside gender groups are illuminated by the fact that, in this case, it is young women who are generally less attached to the local community than young men, but this does not hold for all the individuals. The ideological motivation for preservation of the h seems to be based on the imagined community of Tornio Valley covering both the Swedish and the Finnish valley area. The general image of the dialect area and it s speakers, the shared cognitive dialect boundaries of the locals and the particularly deep level of awaress of the linguistic variation of the h are notable resources of the Tornio valley identity. Hyperdialectic forms analogical to the most frequently attested metathetic forms are found in the interview data, predicting that in this dialect the h will be maintained also in the future.

Kasvilajien tunnistaminen, oppiminen ja opettaminen yleissivistävän koulutuksen näkökulmasta

The purpose of the research was to determine how well Finnish pupils and students of different ages recognize plant species, which variables explain recognition of plant species, what plants and nature mean to the subjects and how plant species identification should be taught in general education in Finland. The subjects were pupils from: every class level of the primary schools (grades 1 6); lower- secondary school (grades 7 9); high school (grades I II); university departments of teacher education and classroom teachers and teachers from university involved with environmental teaching and also experts from education and botany. A total of 883 people took part in the research. Both quantitative and qualitative research methods were used. The quantitative methods were: a) plant species recognition test, where 70 plant species photos were shown to subjects and b) an experiment in which three experimental groups had a plant recognition test on the nature trail and the three comparison groups were tested on recognition of the same species in classroom. The testing materials consisted of 31 real plants outdoors and 31 photos taken of these real plant species that were shown to pupils from fourth, fifth and sixth classes (grade levels) from primary school. The qualitative methods were a questionnaire administered to pupils from elementary school and high school and students from the department of teacher education, to teachers from university and interviews, where 3 5 pupils and students who recognized the plant species best or worst in the recognition test were selected to be interviewed. Furthermore, classroom teachers from primary school and experts were interviewed. The research results showed that on average plant species were recognized insufficiently on every level of education. There was also variation between answers from primary school to university teachers. However, species recognition skills improved from primary school to university teachers. Among other things, sex and place of residence explained species recognition skills, because girls and pupils from rural areas knew plant species statistically significantly better than boys or pupil from cities. Almost every pupil, student and all classroom teachers wanted to recognize plant species better. Many pupils mentioned that a motivating teaching method would be to go outdoors and investigate the plant species themselves. University teachers and experts also mentioned that the best and most efficient learning and teaching method for species recognition skills, is to practice in nature. We should teach plant species in nature, using many senses and teaching methods. Also new technology could be used in teaching species recognition skills. Keywords: plant species recognition, plant species education, general education