@phdthesis{oai:sucra.repo.nii.ac.jp:00010380,
 author = {GARU, MUNI WATHSALA LAKPRIYA GUNAWARDENA},
 month = {},
 note = {[3], vii, 92, [7] p., This study was conducted with the objective of finding out the perceivable effect of figures and backgrounds of the residential streetscapes, and their connections on visual complexity. The visual complexity depends on the amount of information a viewer can observe from visible area. The information includes a number of visual elements along the streetscapes, and their diversity and inter-connections. The aim of this research was to analyze the structural hierarchical visual complexity of the streetscapes, caused by varied spatial arrangement and numerous spatial connections of the perceivable visual elements. The visual elements of 70 residential streetscapes from urbanization controlled, medium urbanized and highly urbanized areas at the vicinity of Saitama University, Japan, were classified into figures and backgrounds using human perception of 20 subjects. The identified figures and backgrounds were arranged in a taxonomic diagram representing their connections. These taxonomic diagrams reflect the structural hierarchical visual complexity. Finally, taxonomic entropy was applied to statistically analyze the structural hierarchical visual complexity. When the taxonomic diagram is vertically and horizontally lengthy and the arrangement of the elements of taxonomic diagram is irregular, the complexity becomes high depicting a large number of figures whose spatial connections impart high visual complexity to the streetscapes., ACKNOWLEDGEMENTS                                                                                                     I
ABSTRACT                                                                                                                             II
TABLE OF CONTENT                                                                                                           III
LIST OF TABLES                                                                                                                   V
LIST OF FIGURES                                                                                                                 VI
CHAPTER ONE
INTRODUCTION
1.1                Background                                                                                                        1
1.2                Research strategy                                                                                               2
1.3                Importance of the study                                                                                      3
CHAPTER TWO
LITERATURE REVIEW
2.1                Complexity                                                                                                         5
2.1.1        Visual complexity                                                                                              6
2.2                Diversity                                                                                                             7
2.2.1        Visual diversity                                                                                                  7
2.3                Difference between complexity and diversity                                                   8
2.4                Methods applied in literature to measure diversity                                            8
2.5                Methods applied in literature to measure complexity                                        15
2.6                Conclusions obtained from the past researches for the new study                    19
2.7                Figure and background concept                                                                         20
2.7.1        Methods to differentiate figures and backgrounds                                             21
2.8                Taxonomic indices                                                                                             26
CHAPTER THREE
THEORITICAL FRAMEWORK
3.1                Objective                                                                                                            31
3.2                Hypothesis                                                                                                          31
3.3                Approach                                                                                                            31
3.3.1        Applicability of taxonomic diagrams                                                                 32
3.3.2        Applicability of taxonomic indices                                                                    35
CHPTER FOUR
METHODOLOGY
4.1                Study area                                                                                               38
4.2                Preparation of perspective views                                                                       39
4.3                Analysis of perspective views                                                                            41
4.4                The data arrangement                                                                                         43
4.5                Data analysis                                                                                                      45
CHAPTER FIVE
RESULTS AND DISCUSSION
5.1                Identification of visual elements                                                                        47
5.2                Drawing taxonomic diagrams                                                                            52
5.3                Taxonomic entropy calculation                                                                          56
5.4                Statistical verification of the relationships                                                        64
CHAPTER SIX
CONCLUSIONS                                                                                        69
RECOMMENDATIONS                                                                                    71
REFERENCES                                                                                         72
Annex, 指導教員 : 窪田陽一, text, application/pdf},
 school = {埼玉大学},
 title = {Methodological Study on Structured Landscape Assessment for Landscape Planning Based on Visual Components},
 year = {2015},
 yomi = {ガル, ムニ ワトゥサラ ラクブリヤ グナワルデナ}
}