The concept of grid computing has permeated all areas of distributed computing, changing the way in which distributed systems are designed, developed and implemented. At the same time ‘geobrowsers’, such as Google Earth, NASA World Wind and Virtual Earth, along with in-vehicle navigation, handheld GPS devices and maps on mobile phones, have made interactive maps and geographic information an everyday experience. Behind these maps lies a wealth of spatial data that is collated from a vast number of different sources. A spatial data infrastructure (SDI) aims to make spatial data from multiple sources available to as wide an audience as possible. Current research indicates that, due to a number of reasons, data sharing in these SDIs is still not common. This dissertation presents an analysis of the data grid approach for SDIs. Starting off, two imaginary scenarios spell out for the first time how data grids can be applied to enable the sharing of address data in an SDI. The work in this dissertation spans two disciplines: Computer Science (CS) and Geographic Information Science (GISc). A study of related work reveals that the data grid approach in SDIs is both a novel application for data grids (CS), as well as a novel technology in SDI environments (GISc), and this dissertation advances mutual understanding between the two disciplines. The novel evaluation framework for national address databases in an SDI is used to evaluate existing information federation models against the data grid approach. This evaluation, as well as an analysis of address data in an SDI, confirms that there are similarities between the data grid approach and the requirement for consolidated address data in an SDI. The evaluation further shows that where a large number of organizations are involved, such as for a national address database, and where there is a lack of a single organization tasked with the management of a national address database, the data grid is an attractive alternative to other models. The Compartimos (Spanish for ‘we share’) reference model was developed to identify the components with their capabilities and relationships that are required to grid-enable address data sharing in an SDI. The definition of an address in the broader sense (i.e. not only for postal delivery), the notion of an address as a reference and the definition of an addressing system and its comparison to a spatial reference system contribute towards the understanding of what an address is. A novel address data model shows that it is possible to design a data model for sharing and exchange of address data, despite diverse addressing systems and without impacting on, or interfering with, local laws for address allocation. The analysis in this dissertation confirms the need for standardization of domain specific geographic information, such as address data, and their associated services in order to integrate data from distributed heterogeneous sources. In conclusion, results are presented and recommendations for future work, drawn from the experience on the work in this dissertation, are made. / Thesis (PhD)--University of Pretoria, 2009. / Computer Science / unrestricted

This diploma thesis deals with the design and implementation of an application suitable for the anonymization of PCAP files. The thesis presents TCP/IP model and for each layer highlights attributes that can be used to identify real people or organizations. Some of the anonymization methods suitable to modify highlighted attributes and sensitive data are described. The implemented application uses TShark tool to parse byte data of PCAP format to JSON format that is used in the application. TShark supports lots of network protocols which allows the application to anonymize various attributes.  Anonymization process is controlled by anonymization politics that can be customized by adding new attributes or anonymization methods.

Denna studie syftar till att undersöka hur parken Enskifteshagen formas som offentligt rum i Malmö stad, inom ramen för kommunens stadsutvecklingsprogram Amiralstaden. Detta med avseende på hur publics, eller intresseformationer, skapas. Utforskandet av publics är ett relevant studieområde då det belyser demokratiska aspekter av det offentliga rummet ur ett bredare perspektiv på offentlighet än enbart relaterat till synlighet på, eller tillgång till, en viss plats. Genom att utgå från att offentlighet skapas i spänningsfältet mellan olika gruppers intresseanspråk, speglat i mediala budskap såväl som på platsen i sig, vidgar perspektivet kring publics hur vi kan utforska det offentliga rummet och förstå dess roll för demokratiska utbyten i staden. För att undersöka Enskifteshagens offentliga rum har tre informantintervjuer med Malmö stad och 20 snabbintervjuer med parkanvändare utförts under våren 2019, liksom dokumentstudier, medieanalys och observationer i parken. Resultatet visar att Malmö stads inriktning mot social hållbarhet till stor del avspeglas i Enskifteshagen genom kommunens fokus på upprustning samt främjande av aktiviteter i parken. Detta blir särskilt påtagligt i stadens pressklipp, där Enskifteshagen blir en spegel för Malmö stads identitetsskapande och ambition att skapa social hållbarhet genom att sammanföra människor mellan olika stadsdelar. Parken kan även kopplas till satsningar för att skapa attraktivitet i området, till exempel genom BID Sofielunds inflytande i dess utveckling. Enskifteshagen formas även av rörelser underifrån och kan kopplas till demokratiska värden av det offentliga rummet, såsom utveckling av sociala identiteter och gemensamma intressen, vilket blir tydligast i odlingsnätverket. Staden kan vara en viktig aktör i främjandet av publics genom att bistå med olika resurser. Studien belyser även hur starka aktörer kan begränsa olika intresseformationer genom reglering av det offentliga rummet, vilket relaterar till maktutövande och dominerande normer i samhället.  Studien mynnar ut i slutsatsen att Enskifteshagens offentliga rum är ett resultat av en ständigt pågående process som formas av Malmö stads områdesutveckling, fastighetsägarintressen, medieskildringar, utformning och inte minst av parkanvändarna själva. Parken får en viktig funktion som ett offentligt rum genom att vara både en fysisk och en kommunikativ plats för olika grupper att komma samman på, och uttrycka delade intressen igenom, i spänningsfältet mellan olika intressen och värden i samhället. / This case study investigates how the park Enskifteshagen, in Malmö city, is being shaped as a public space with regard to the creation of publics, or interest formations, within the framework of the urban development program Amiralstaden. The exploration of publics is a relevant field of study since it illuminates democratic aspects of the public space from a broader perspective on publicness than only related to visibility or access to the physical space itself. By assuming that publicness is something that is created within the tension of different interests reflected in media representations as well as in the physical environment itself, the framework of publics broadens how we can explore public space and understand its role for democratic exchange in the city. Enskifteshagen is of special interest as a study object because of the park's location between different socio-economic parts of the city and given the municipality’s planning focus on creating democratic meeting places for a socially sustainable city.  The investigation was executed as a case study in the spring of 2019. Three interviews with officials at the municipality were conducted, as well as 20 interviews with people in the park. A document study, media analysis and observations in the park were also carried out as a part of the investigation.  The results show that the city’s focus on social sustainability is largely reflected in Enskifteshagen, through the municipality's efforts aimed at refurbishing and promoting activities in the park. This is particularly noticeable in the city’s communication efforts, where Enskifteshagen becomes a mirror for Malmö stad’s image building and ambition to create social sustainability by bringing people from different parts of the city together. The park can also be linked to investment interests to improve attractiveness of the area, regarding the influence of BID Sofielund in its development. Enskifteshagen is also shaped by its users and can be put in relation to democratic aspects of the public space through the development of social identities and common interests, such as the cultivation network. The city can play an important part in the promotion of publics by assisting with various resources. The study also highlights how strong actors can limit different publics through regulation of public space, which relates to the exercise of power and dominant norms in society.  The study concludes that the publicness of Enskifteshagen is a result of a constantly ongoing process shaped by the municipality’s area development, interests of property owners, media portrayals, design aspects and by the park users themselves. The park plays an important part as a public space in the city by being both a physical place and a communicative arena, for people to gather in as well as express themselves through, within the tension of diverse interests and values ​​in society.

Address parsing is the process of splitting an address string into its different address components, such as street name, street number, et cetera. Address parsing has been quite extensively researched and there exist some state-ofthe-art address parsing solutions, mostly unilingual. In more recent years research has emerged which focuses on multinational address parsing and deep architecture address parsers have been used to achieve state-of-the-art performance on multinational address data. However, training these deep architectures for address parsing requires a rather large amount of address data which is not always accessible. Generally within Natural Language Processing (NLP) data is difficult to come by and most of the NLP data available consists of data from about only 20 of the approximately 7000 languages spoken around the world, so-called high-resource languages. This also applies to address data, which can be difficult to come by for some of the so-called low-resource languages of the world for which little or no NLP data exists. To attempt to deal with the lack of address data availability for some of the less spoken languages of the world, the current project investigates the potential of FewShot Learning (FSL) for multinational address parsing. To investigate this, two few-shot transfer learning models are implemented, both implementations consist of a fine-tuned pre-trained language model (PTLM). The difference between the two models is the PTLM used, which were the multilingual language models mBERT and XLM-R, respectively. The two PTLMs are finetuned using a linear classifier layer to then be used as multinational address parsers. The two models are trained and their results are compared with a state-of-the-art multinational address parser, Deepparse, as well as with each other. Results show that the two models do not outperform Deepparse, but they do show promising results, not too far from what Deepparse achieves on holdout and zero-shot datasets. On a mix of low- and high-resource language address data, both models perform well and achieve over 96% on the overall F1-score. Out of the two models used for implementation, XLM-R achieves significantly better results than mBERT and can therefore be considered the more appropriate PTLM to use for multinational FSL address parsing. Based on these results the conclusion is that there is great potential for FSL within the field of multinational address parsing and that general FSL methods can be used and perform well on multinational address parsing tasks. / Adressavkodning är processen att dela upp en adresssträng i dess olika adresskomponenter såsom gatunamn, gatunummer, et cetera. Adressavkodning har undersökts ganska omfattande och det finns några toppmoderna adressavkodningslösningar, mestadels enspråkiga. Senaste åren har forskning fokuserad på multinationell adressavkodning börjat dyka upp och djupa arkitekturer för adressavkodning har använts för att uppnå toppmodern prestation på multinationell adressdata. Att träna dessa arkitekturer kräver dock en ganska stor mängd adressdata, vilket inte alltid är tillgängligt. Det är generellt svårt att få tag på data inom naturlig språkbehandling och majoriteten av den data som är tillgänglig består av data från endast 20 av de cirka 7000 språk som används runt om i världen, så kallade högresursspråk. Detta gäller även för adressdata, vilket kan vara svårt att få tag på för vissa av världens så kallade resurssnåla språk för vilka det finns lite eller ingen data för naturlig språkbehandling. För att försöka behandla denna brist på adressdata för några av världens mindre talade språk undersöker detta projekt om det finns någon potential för inlärning med få exempel för multinationell adressavkodning. För detta implementeras två modeller för överföringsinlärning med få exempel genom finjustering av förtränade språkmodeller. Skillnaden mellan de två modellerna är den förtränade språkmodellen som används, mBERT respektive XLM-R. Båda modellerna finjusteras med hjälp av ett linjärt klassificeringsskikt för att sedan användas som multinationella addressavkodare. De två modellerna tränas och deras resultat jämförs med en toppmodern multinationell adressavkodare, Deepparse. Resultaten visar att de två modellerna presterar båda sämre än Deepparse modellen, men de visar ändå lovande resultat, inte långt ifrån vad Deepparse uppnår för både holdout och zero-shot dataset. Vidare, så presterar båda modeller bra på en blandning av adressdata från låg- och högresursspråk och båda modeller uppnår över 96% övergripande F1-score. Av de två modellerna uppnår XLM-R betydligt bättre resultat än mBERT och kan därför anses vara en mer lämplig förtränad språkmodell att använda för multinationell inlärning med få exempel för addressavkodning. Utifrån dessa resultat dras slutsatsen att det finns stor potential för inlärning med få exempel inom området multinationall adressavkodning, samt att generella metoder för inlärning med få exempel kan användas och preseterar bra på multinationella adressavkodningsuppgifter.

In this Internet and big data era, resource management has become a crucial task to ensure the quality of service for users in modern wireless networks. Accurate and rapid Internet traffic data is essential for many applications in computer networking to enable high networking performance. Such applications facilitate admission control, congestion control, anomaly detection, and bandwidth allocation. In radio networks, these mechanisms are typically handled by features such as Carrier Aggregation, Inter-Frequency Handover, and Predictive Scheduling. Since these mechanisms often take time and cost radio resources, it is desirable to only enable them for users expected to gain from them. The problem of network traffic flow prediction is forecasting aspects of an ongoing traffic flow to mobilize networking mechanisms that ensures both user experience quality and resource management. The expected size of an active traffic flow, its expected duration, and the anticipated amount of packets within the flow are some of the aspects. Additionally, forecasting individual packet sizes and arrival times can also be beneficial. The wide-spread availability of Internet flow data allows machine learning algorithms to learn the complex relationships in network traffic and form models capable of forecasting traffic flows. This study proposes a deep-learning-based flow prediction method, established using a residual neural network (ResNet) for regression. The proposed model architecture demonstrates the ability to accurately predict the packet count, size, and duration of flows using only the information available at the arrival of the first packet. Additionally, the proposed method manages to outperform traditional machine learning methods such as linear regression and decision trees, in addition to conventional deep neural networks. The results indicate that the proposed method is able to predict the general magnitude of flows with high accuracy, providing precise magnitude classifications. / I denna Internet och data era har resurshantering blivit allt mer avgörande för att säkerställa tjänstekvaliteten för användare i moderna trådlösa nätverk. Noggrann och hastig Internet-trafikinformation är avgörande för många applikationer inom datanätverk för att möjliggöra hög nätverksprestanda. Sådana applikationer underlättar kontroll av behörighet, kontroller av trängsel, detektering av avvikelser och allokering av bandbredd. I radionätverk hanteras dessa mekanismer vanligtvis av funktioner som Carrier Aggregation, Inter- Frequency Handover och Predictive Scheduling. Eftersom dessa funktioner ofta tar tid och kostar resurser så är det önskvärt att nätverk endast möjliggör sådana funktioner för användare som förväntas dra nytta av dem. Prediktering av trafikflöden i nätverk grundar sig i att förutsäga aspekter av ett pågående trafikflöde för att kunna mobilisera nätverksfunktioner som säkerställer både kvaliteten för användare samt resurshantering. Den förväntade storleken på ett aktivt trafikflöde, dess varaktighet och mängden paket inom flödet är några av dessa aspekter. Det kan dessutom vara fördelaktigt att förutsäga individuella paketstorlekar och ankomsttider. Den stora tillgången till data med nätverks-flöden gör det möjligt för maskininlärningsmetoder att lära sig de komplexa förhållandena i nätverkstrafik och därigenom formulera modeller som kan förutsäga flöden i nätverk. Denna studie föreslår en djupinlärningsbaserad metod för att prediktera flöden i nätverk, med hjälp av ett anpassat neuralt nätverk som utnyttjar genvägar i modellens konstruktion (ResNet). Den föreslagna modell-arkitekturen visar sig nöjaktigt kunna förutsäga antalet paket, storlek och varaktighet för flöden med endast den information som är tillgänglig från det första paketet. Dessutom lyckas den föreslagna metoden att överträffa både traditionella maskininlärningsmetoder som linjär regression och beslutsträd, samt konventionella djupa neurala nätverk. Resultaten indikerar att den föreslagna metoden kan förutsäga den allmänna storleken på flödens egenskaper med hög noggrannhet, givet att IP-adresser är tillgängliga.

The purpose of this study is to explore the nature of socio-cultural rules underlying address behaviour in face-to-face interactions in Xitsonga. In the study, a socio-pragmatic approach is used. This approach is a combination of sociolinguistics and pragmatics. Data are collected using semi-structured interviews from 29 participants in Hlanganani region. Hlanganani is a Xitsonga speech community located in Limpopo Province, South Africa. The participants were selected in terms of five variables, namely their age, gender, marital status, educational status and occupation. Five theories are tested in this study, namely Brown and Gilman’s (1968) theory of power and solidarity, Brown and Levinson’s (1987) politeness theory, the theory of accommodation, the theory of universal grammar and the Gricean theory of conversation. The study finds that Hlanganani is an age-set society in that the age of a person is the primary determiner of address choice. The male gene also receives superior status in address behaviour in Xitsonga. It is also found that women are given the same lower status as children. It is observed that women’s statuses reflect their graduation in terms of marriage and the production of children. It is recommended that more studies of a similar kind should be undertaken based on either different speech communities or on a comparative basis of particularly African languages. Such studies will go a long way in describing similarities and differences in both the linguistic and the social structures of different cultures. / African Languages / D. Litt. et Phil. (African Languages)

Thesis (MPhil)--Stellenbosch University, 2013. / ENGLISH ABSTRACT: Every year, the South African President delivers a State of the Nation Address. This speech provides him with the opportunity to raise his opinion on the current state of affairs in the country. As can be expected, the country's different media channels then report extensively on the speech. These reports can, however, be regarded as much more than simple commentaries on the speech – they are in fact, reframed versions of the speech that affect and shape the opinions and ideologies of their readers. These media channels also provide the perfect vehicles through which links can be established between citizens to support their belief that they form part of an established community (Bielsa and Bassnett 2009:33). Wherever communication is present or necessary, it is impossible to escape the process or effect of framing, as framing implies “‘how speakers mean what they say’” (Tannen and Wallat, 1993:60; in Baker, 2006:105). Therefore, the presence and effects of framing should not be ignored, instead, translation scholars should be aware of framing and how this process affects translated texts. Mona Baker introduced the idea that the translated and reformulated narratives that we are exposed to constitute the everyday stories that shape the way we perceive reality (Baker 2006:3). By studying these translated versions of the speech one can gain insight into the ideologies of the intended target readership (Bielsa and Bassnett 2009:10). In the ever-growing field of Translation Studies it is important to focus on finding an approach that provides enough freedom for scholars to elaborate on existing approaches and include new findings and results. This thesis focuses on the narrative approach and explores Baker's views by taking a deeper look at rewritten versions of the SONA in the shape of newspaper articles. It also suggests that this approach has the potential to provide scholars with a much-needed framework. / AFRIKAANSE OPSOMMING: Elke jaar gee die President van Suid-Afrika ʼn staatsrede waarin hy sy mening lug oor die huidige stand van sake in die land. Dit is te verwagte dat die verskillende mediakanale dan breedvoerig oor hierdie toespraak verslag lewer. Hierdie verslae is egter veel meer as eenvoudige kommentaar op die President se toespraak, hulle is in effek, hergekonstrueerde weergawes van die toespraak, wat sodoende deel van ʼn nuwe raamwerk uitmaak – ʼn raamwerk wat ʼn belangrike rol speel in die vorming van lesers se menings en ideologieë. Hierdie mediakanale bied ook die perfekte mediums om kommunikasie tussen die onderskeie lede van ʼn gemeenskap in werking te stel sodat hulle sal glo dat hulle deel vorm van ʼn gevestigde gemeenskap (Bielsa en Bassnett 2009:33). Waar kommunikasie ter sprake is, is dit onmoontlik om die proses van herskrywing te vermy, aangesien die plasing van inligting in ʼn nuwe raam verwant is aan “‘hoe sprekers bedoel wat hulle sê’” (Tannen en Wallat, 1993:60; in Baker, 2006:105). Dus moet die effek van herskrywing nie onderskat word nie; inteendeel, vertalers moet bewus wees van die implikasies daarvan en hoe dit vertaalde tekste beïnvloed. Mona Baker het vorendag gekom met die idee dat die manier waarop ons realiteit waarneem, beïnvloed word deur die vertaalde en herskryfde narratiewe waaraan ons elke dag blootgestel word (2006:3). Vertalings word spesifiek geskep met die doellesers in gedagte, daarom kan verdere insig oor die ideologieë van die doellesers verkry word deur hierdie vertalings verder te bestudeer (Bielsa en Bassnett 2009:10). In die steeds groeiende veld van vertaalteorie, is dit belangrik om ʼn benadering te vind wat kenners genoeg vryheid toelaat om bestaande teorieë uit te brei en nuwe resultate en bevindings tot die vertaalwetenskap te kan byvoeg. Hierdie studie bestudeer dus Baker se argumente en die impak van ʼn narratiewe benadering op vertaalteorie deur te fokus op herskrywings van die staatsrede in die vorm van koerantberigte. Dit suggereer ook dat hierdie narratiewe benadering van herskrywing deur inligting binne ʼn nuwe raam te plaas, die potensiaal het om aan wetenskaplikes ʼn nuwe teoretiese ondersoekbasis te bied.

This thesis will focus on the changes that modernization, especially during the transition period from communism to capitalism, brought to the use of the terms “domn” (sir) and “doamna” (lady) in Romania. The main question of the research will be whether these terms are still used and if they are used with the same meaning as they were before: in short, what does it mean to be ‘lady” or “sir” in modern Romania? The thesis will try to examine the way modern life lessened the differences between country side/rural life and town/urban life and between people with different educational levels. In Romania little research has been done examining how modernization affects everyday life and how individuals view and understand the world. Modernization is a key word in almost every field in Romania today, but the human dimension especially that of everyday life has not received much attention. The thesis will try to give a perspective on how the recent social transformations have changed the way people view themselves and the opportunities that developed as a result. Romania is an East European country in transition. This means that among other things that for Romanians things seem to change rapidly and sometimes abruptly in very short time, often without much sense or logic. The result is that Romanians have had to learn how to adapt very quickly and to learn new social and material skills almost every day. Romania and her passage from socialism to capitalism can be a laboratory for anthropological research on some of the disciplines central and emerging themes. Among these is how the elite is self constructed and self selected over time. Another is the role that shifts in elites can play in a country’s and a culture’s economic and cultural transitions. This research will also add to the literature on Romania because while elite’s effects, both positive and negative have received much media attention, the scholarly literature is almost silent in how elites are defined and emerged since 1989. The study of the elites will also bring a better understanding of the way people in Romania behave, understand and accept each other. It will also help us to understand their goals and how these got defined in this transition period in Romania’s history. Looking at how Romanians think about (categorize) each other will also help the rest of the world understand Romanian culture and society. This is important - especially for those inside and outside the country who have a stake in Romania’s future. / Romania, past and present : a historical and social background of status in Romania -- Status in Romania 2011 : fieldwork results -- Ideas over how status is perceived in present Romania. / Department of Anthropology

Le titre anglais de cette thèse, Soyinka’s Language – calqué sur celui de l’ouvrage de Frank Kermode, Shakespeare’s Language – est traduit librement en français par Les mots de Soyinka en mouvement pour évoquer la richesse poétique de ‘language’ dans ce contexte littéraire. Cette étude adopte l’approche de Kermode pour analyser un corpus d’oeuvres de Wole Soyinka (neuf pièces de théâtre et deux essais), dans la tradition critique anglaise de ‘close reading’. Les mots nous pénètrent malgré nos efforts pour nous tenir à l’écart de l’expérience (The Lion and the Jewel; le diptyque Jero). Ils peuvent également rendre concret le passage d’un monde à un autre – par exemple, à travers un vocabulaire pédagogique qui tombe rapidement en désuétude (The Road; Madmen and Specialists). Comment exprimer, comment articuler sur scène la notion ambivalente de la distance – d’un côté, la distance de la théorie, de l’objectivité; de l’autre, l’absence d’empathie, de compréhension humaine – (The Strong Breed, A Dance of the Forests, The Bacchae of Euripides, et The Burden of Memory)? Il s’agit d’un problème rhétorique qui s’apparente à un risque d’autarcie ou de solipsisme. Désamorcé dans la prose de The Man Died, ce risque sert de repoussoir, pour Soyinka dans Myth, Literature and the African World, à l’articulation d’une conception (yoruba) de l’existence, dont les tensions constitutives s’expriment à travers les ressources rhétoriques de la poésie orale. Cette étude se termine par une lecture de Death and the King’s Horseman, expression exemplaire de la tension entre l’affirmation de soi et le retour à la communauté, entre l’être et le non-être. / The title of this thesis is an allusion to Frank Kermode’s Shakespeare’s Language. There, Kermode directed his attentions to Shakespeare’s dramatic verse, its poetry, demonstrating how the demands which words make on the ear might attune us to the insinuating possibilities of language, if attended to by a patient reader. This thesis adopts the same methodological principle, in approaching a number of Wole Soyinka’s dramatic and prose works in English. Throughout, it is concerned with his intelligence as expressed through literature. To this end, it does not hesitate to speculate, in the manner of Shklovsky, as to schemata which Soyinka might have used in order to ‘make’ his works. At the same time, it sees in formalism, for writer and would-be critic alike, the danger of words’ being cut off from the common human constituency and experience which assure their meaning. Words penetrate us, undermine our attempts to stand apart, draw us into a realm of consequence (The Lion and the Jewel; the Jero plays). Consequence, in turn, implies passage between two distinct moments, inviting us to reflect on how language can become strange (The Road; Madmen and Specialists). What happens to words in one who is content to look on from a distance, instead of participating? This is the starting point for a discussion of Soyinka’s interrogations of justice in The Strong Breed, A Dance of the Forests, The Bacchae of Euripides and The Burden of Memory. Implicit in onlooking is the risk of self-sufficiency. Warded off in the prose of The Man Died, self-sufficiency provides a foil to a Yoruba conception of being and tragedy, as articulated in Myth, Literature and the African World. The study culminates in Death and the King’s Horseman, which best enacts the tension between self-assertion and commonality, departure and return, being and non-being, in and through poetic language.

In a collaboration between Kolmården Zoo and Linköping University, supported by the Norrköping municipality’s fund for research and innovation, mobility measurements have been performed inside the zoo. These measurements have been done by six WiFi sniffers collecting anonymised MAC addresses from the visitors smartphones. The aim of this thesis is to analyse these data to understand visitor flows in the park and other statistics using a model based mobility analysis. The work implies that one can make a rather good prediction of the geographical visitor distribution using this equipment and statistical models. / I ett samarbete mellan Kolmården djurpark och Linköpings universitet, sponsrat av Norrköpingskommuns fond för forskning och utveckling, har rörelsemätningar gjorts inuti parken. Mätningarna har utgjorts av sex WiFi-sniffers som samlar in anonymiserade MAC-adresser från besökares smartphones. Målet med detta arbete är att analysera denna data för att förstå besökarflöden i parken och annan statistik genom att använda en modellbaserad rörelseanalys. Arbetet visar att man med denna utrsutning och statistiska metoder kan skapa en god prediktion av hur den geografiska besökardistributionen ser ut över tid.