The process of performing cartographic generalization in an automatic way applied on geographic information is of highly interest in the field of cartography, both in academia and industry. Many research e↵orts have been done to implement di↵erent automatic generalization approaches. Being able to answer the research question on automatic generalization, another interesting question opens up: ”Is it possible to retrieve and visualize geographic information in any arbitrary scale?” This is the question in the field of vario-scale geoinformation. Potential research works should answer this question with solutions which provide valid and efficient representation of geoinformation in any on-demand scale. More brilliant solutions will also provide smooth transitions between these on-demand arbitrary scales. Space-Scale-Cube (Meijers and Van Oosterom 2011) is a reactive tree (Van Oosterom 1991) data structure which shows positive potential for achieving smooth automatic vario-scale generalization of area features. The topic of this research work is investigation of adaptation of this approach on an interesting class of geographic information: road networks datasets. Firstly theoretical background will be introduced and discussed and afterwards, implementing the adaptation would be described. This research work includes development of a hierarchical data structure based on road network datasets and the potential use of this data structure in vario-scale geoinformation retrieval and visualization.:Declaration of Authorship i Abstract iii Acknowledgements iv List of Figures vii Abbreviations viii 1 Introduction 1 1.1 Problem Definition 2 1.1.1 Research Questions 2 1.1.2 Objectives 3 1.2 Proposed Solution 3 1.3 Structure of the Thesis 4 1.4 Notes on Terminology 4 2 Cartographic Generalization 6 2.1 Cartographic Generalization: Definitions and Classifications 6 2.2 Generalization Operators 9 2.3 Efforts on Vario-Scale Visualization of Geoinformation 10 2.4 Efforts on Generalization of Road Networks and Similar Other Networks 16 2.4.1 Geometric Generalization of Networks 17 2.4.2 Model Generalization of Networks 18 2.5 Clarification of Interest 20 3 Theory of Road Network SSC 21 3.1 Background of an SSC 21 3.1.1 tGAP 21 3.1.2 Smoothing tGAP 23 3.2 Road Network as a ’Network’ 24 3.2.1 Short Background on Graph Theory 5 3.3 Formation of Road Network SSC 26 3.3.1 Geometry 26 3.3.2 Network Topology 27 3.3.3 Building up tGAP on The Road Network 28 3.3.4 Smoothing of Road Network SSC 31 3.3.4.1 Smoothing Elimination 32 3.3.4.2 Smoothing Simplification 32 3.4 Reading from a road network SSC 34 3.4.1 Discussion on Scale 34 3.4.2 Iterating Over The Forest 35 3.4.3 Planar Slices 35 3.4.4 Non-Planar Slices 36 4 Implementation of Road Network SSC 37 4.1 General Information Regarding The Implementation 37 4.1.1 Programming Language 37 4.1.2 RDBMS 38 4.1.3 Geometry Library 39 4.1.4 Graph Library 39 4.2 Data Structure 40 4.2.1 Node 40 4.2.2 Edge 41 4.2.3 Edge-Node-Relation 41 4.3 Software Architecture 42 4.3.1 More Detail on Building The SSC 42 4.3.1.1 Initial Data Processing 42 4.3.1.2 Network Processing 43 4.3.2 More Detail on Querying The SSC 46 4.3.2.1 Database Query 46 4.3.2.2 Building Geometry 46 4.3.2.3 Interface and Visualization 47 4.4 Results 48 5 Conclusions and Outlook 49 Bibliography 51

Purpose - ​The purpose of this thesis is to examine the organisational culture at the case company to find out whether or not Human lean can contribute to a high performance culture. Methodology - ​A qualitative study was conducted with a case study as the basis for investigating the company's organizational culture. The empirical data was collected by semi-structured interviews with the staff of the company. Findings - ​The empirical study first presents a summary based on the respondents' responses and thereafter displays the case company in comparison to the characteristic features and behaviours of high performance cultures. Lastly, the study shows howHuman lean, with the help of visual management, KASAM and continuous improvements, can contribute to a high performance culture. Contribution - ​This study tests existing theory in a new context and presents a scientific gap on how Human lean can contribute to a high performance culture. / Syfte - ​Syftet är att undersöka organisationskulturen på fallföretaget för att se om Human lean kan bidra till att skapa en high performance kultur. Metod - För att undersöka fallföretaget organisationskultur har en kvalitativ studie genomförts med fallstudie som grund. All empiri har utformats utifrån semistrukturerade intervjuer med personalen på fallföretaget. Resultat - I studiens empiri presenteras först en sammanställning utifrån respondenternas svar för att sedan jämföra hur fallföretaget förhåller sig till de karaktäristiska dragen och beteendena high performance culture erhåller. Avslutningsvis visarstudienhurHumanlean med hjälp av visuell styrning, KASAM och ständiga förbättringar bidrar till en high performance culture. Bidrag - Denna studie testar befintligt teori i ett nytt kontext och framför ett vetenskapligt gap om hur Human lean kan bidra till en high performance culture.