Dissertations / Theses on the topic 'Social spatial patterns'

In recent years, counties in the Intermountain West (CO, ID, MT, UT, WY) have experienced rapid population growth and housing development, and much of this growth is occurring outside of urban areas. Residental development can have negative impacts on farmlands, farm viability, and environmental services provided by working landscapes. In this study, I use county-level data to explore the association between residential settlement patterns and trends in farm numbers, copland acres, and farm sales between 1997-2012 in this region. Results from traditional ordinary least-squares and spatial regression models demonstrate that population pressure (e.g. rural population density), socioeconomic structure (e.g. median household income), and biophysical resources (e.g. length of growing season) are related to different types of farm trends, but that accounting for the spatial pattern or arrangement of rural and exurban residential development can improve models to explain agricultural change. Since spatial dependencies are present among different variables, this study also demonstrates that spatial regression methods are appropriate and useful to use when modeling country-level processes of socioeconomic change.

The present study is an assessment of archaeological evidence obtained from systematical archaeological surveys conducted in the territory of Klazomenai, which is one of the Ionian poleis located on Urla-&Ccedil<br>esme peninsula at Izmir. The main objective of the study is to explain the polis formation process in Klazomenai from Early Iron Age to Roman period with the aid archaeological evidence in the light of historical and epigraphical evidence. I here discuss the polis formation through the concepts of urbanization and state formation, which are defined as the subset processes of polis formation within the context of the study. The settlement patterns for each archaeological period from Early Iron Age period to Roman Period are defined with the aid of spatial analysis and GIS analysis are also integrated for determining the parameters for site choice for being able to explain the dynamics that caused the shifts in settlement patterns. Methods are applied for estimating the land potential and demographic trends as well, which are complementary concepts of settlement patterns. Within the context of the work also Greek polis as a concept is discussed since the subject of the work is an Ionan polis. Archaeological survey as a method also discussed for being the method for obtaining the raw data of the work. The study consists of mainly six chapters including the conclusion and three appendices. First chapter includes the scope and the objectives of the work as well as the nature of the evidence. In the second chapter the methods of analyses are explained and discussed. Third chapter is merely confined to discussions revolving around the concept of polis and the terminology used. Fourth chapter includes a brief history of settlement and the complementary archaeological evidence provided with the archaeological excavations conducted at the settlement center. Fifth chapter consists of the assessment of the evidence and the application of methods and results, whereas the final chapter is the conclusion of the study.

Avoiding the negative effects of habitat fragmentation on biodiversity is especially challenging when also the management institutions are spatially and administratively distributed. This doctoral thesis introduces five case studies that investigate ecological, social and social-ecological relations in fragmented landscapes. I present new approaches in which research and governance can detect and manage mismatches between landscape ecology and planning. The case studies include urban and forested landscapes where an intense land-use is limiting the connectivity, i.e., the potential for many species to disperse between the remaining patches of habitat. Graph-theoretic (network) models are applied to map connectivity patterns and to estimate the outcome for dispersing species at the patch level and for the whole study system. In particular, the network models are applied to evaluate the spatial complexity and the potential mismatches between ecological connectivity and geographically distributed management institutions like protected areas and municipalities. Interviews with municipal ecologists complement the spatial analysis; revealing some problems and ways forward regarding the communication and integration of ecological knowledge within local spatial-planning agencies. The results also show that network models are useful to identify and communicate critical ecological and social-ecological patterns that call for management attention. I suggest some developments of network models as to include interactions between species and across governance levels. Finally, I conclude that more effort is needed for network models to materialize into ecological learning and transformation in management processes.<br><p>At the time of the doctoral defence the following papers were unpublished and had a status as follows: Paper 1: Manuscript. Paper 2: Manuscript.</p>

This thesis addresses three interrelated challenges of disease mapping and contributes a new approach for improving visualization of disease burdens to enhance disease surveillance systems. First, it determines an appropriate threshold choice (smoothing parameter) for the adaptive kernel density estimation (KDE) in disease mapping. The results show that the appropriate threshold value depends on the characteristics of data, and bandwidth selector algorithms can be used to guide such decisions about mapping parameters. Similar approaches are recommended for map-makers who are faced with decisions about choosing threshold values for their own data. This can facilitate threshold selection. Second, the study evaluates the relative performance of the adaptive KDE and spatial empirical Bayes for disease mapping. The results reveal that while the estimated rates at the state level computed from both methods are identical, those at the zip code level are slightly different. These findings indicate that using either the adaptive KDE or spatial empirical Bayes method to map disease in urban areas may provide identical rate estimates, but caution is necessary when mapping diseases in non-urban (sparsely populated) areas. This study contributes insights on the relative performance in terms of accuracy of visual representation and associated limitations. Lastly, the study contributes a new approach for delimiting spatial units of disease risk using straightforward statistical and spatial methods and social determinants of health. The results show that the neighborhood risk map not only helps in geographically targeting where but also in tailoring interventions in those areas to those high risk populations. Moreover, when health data is limited, the neighborhood risk map alone is adequate for identifying where and which populations are at risk. These findings will benefit public health tasks of planning and targeting appropriate intervention even in areas with limited and poor-quality health data. This study not only fills the identified gaps of knowledge in disease mapping but also has a wide range of broader impacts. The findings of this study improve and enhance the use of the adaptive KDE method in health research, provide better awareness and understanding of disease mapping methods, and offer an alternative method to identify populations at risk in areas with limited health data. Overall, these findings will benefit public health practitioners and health researchers as well as enhance disease surveillance systems.

A functionally connected urban tree infrastructure (UTI) contributes to ecosystem function, resilience, and the provision of Ecosystem Services (ES). Variation in tree height is an important attribute influencing movement of passerines, habitat quality and landscape patterns. UTI provided ES are particularly beneficial in the most deprived areas of a city. Presented in this thesis is an exploration into the social-ecological shape of a UTI using a holistic, multi-scale and dimensional, landscape approach. The potential landscape connectivity of a UTI in the City of Salford, UK was quantified and compared using the integral index of connectivity (IIC) across vertically stratified canopies existing in 2005, 2009, and 2013. System resilience was assessed through landscape graph network analysis and by the identification of canopies critical in maintaining connectivity (dIIC). The index of multiple deprivation (IMD) was related to UTI landscape composition and configuration through a series of statistical tests. The connectivity of Salford’s vertically stratified UTI was low (IIC = <0.000001 – 0.0045), besides this the temporal change in connectivity was complex with no discernible overall pattern. The rate of connectivity increase decreased after a 90-120m gap-crossing threshold. The resilience of Salford’s UTI relies on the connectivity of canopies within 4 to 5 sub-connected regions, depending on passerine perception, increasing to 10 -16 smaller regions for canopies above 17.1m. The resilience and stability of these sub-connected regions were often reliant on a central canopy patch. UTI composition is related negatively with deprivation, UTI configuration is related positively, while structural diversity of canopy heights revealed no correlation with deprivation. The research in this thesis contributes to the debates on how to best manage the UTI for both people and nature. The findings of this thesis have a number of important implications for future urban landscape management, especially as previously unknown landscape patterns have been identified.

Coastal and marine environments are highly valued for the resources and services they provide. To sustainably manage these environments, we need to understand what people value and where these values occur, but spatial data is not always easily obtainable. Crowdsourcing methods such as the retrieval of geotagged photographs from the photo-sharing social media platform Flickr and Public Participation GIS (PPGIS) that use field-based or online mapping techniques enable the identification, quantification and mapping of social values. This study compared these methods to evaluate whether Flickr provides similar data to PPGIS about values and where they are likely to occur. A total of 5,293 geotagged Flickr photographs of the natural environment were retrieved for the Kimberley region in Western Australia. The relative abundance of the ten evaluated value types differed between Flickr and two previously published PPGIS datasets involving field-based interviews (p < 0.001) and an online survey (p < 0.001), but scenic/aesthetic and nature appreciation were highly valued in all studies. There were clear distinctions in the spatial patterns of where values were recorded; Flickr users tended to take photographs near easily-accessible locations, whereas PPGIS participants mapped values across most of the Kimberley coastline. Spatial modelling performed to investigate the distribution of value types revealed accessibility was the main driver to where Flickr users were likely to take photographs within the Kimberley region. In contrast, values mapped by PPGIS participants were more broadly distributed and therefore the models were less able to identify strong relationships with the evaluated drivers. Despite this, value types mapped by both methods were concentrated near the coastline and the few major towns of the region, likely due to these being familiar places and popular tourism destinations. Values crowdsourced through Flickr and PPGIS can be used together to take advantage of their reinforcing and complementary information. Whilst PPGIS enabled more value types to be identified within the study area and over a greater spatial distribution, Flickr can be used to provide further depth of information, such as insight into certain value types through photograph content analysis and by highlighting locations of visitation that may need management. The findings of this study can be valuable to inform future planning and management of coastal and marine environments, especially where spatial data may be limited.

O trabalho trata da avaliação da qualidade da produção do Programa Minha Casa Minha Vida na Região Metropolitana de Porto Alegre, na busca de subsídios para a produção da habitação social. Primeiramente, foi investigado se existem padrões espaciais de localização diferenciados para as Faixas de renda 1, 2 e 3, que poderiam gerar diferentes níveis de integração do conjunto no tecido urbano consolidado. A partir da identificação dos padrões espaciais de localização, foi verificada a existência de relação desses padrões com as diretrizes da política urbana em nível local, expressas através da regulação urbanística, propiciando localizações mais adequadas para a habitação de interesse social. Ainda, teve o objetivo de averiguar se o modelo de cidade (estrutura do espaço urbano) que está sendo produzido pelo Programa MCMV na RMPA apresentou avanços em relação à produção habitacional do BNH (Banco Nacional de Habitação), no tocante aos padrões espaciais de localização dos empreendimentos. A seguir, foram analisados se os padrões espaciais de localização geram impactos sobre as condições de mobilidade e de acesso a oportunidades de desenvolvimento humano e econômico e afetam os níveis de satisfação dos moradores com o desempenho dos conjuntos. Os procedimentos metodológicos adotados incluem múltiplos métodos de coleta de dados e análises que possibilitaram complementariedade entre os dados obtidos através de levantamento de arquivo, levantamento físico e aplicação de questionários. A análise estatística dos dados quantitativos foi realizada através da verificação das frequências e realização de testes não-paramétricos, como Kruskal-Wallis e Spearman. Foi utilizada a análise sintática para medir os níveis de integração. Os resultados obtidos confirmam que a produção do Programa Minha Casa Minha Vida apresenta um padrão espacial de localização, especialmente para a Faixa 1, com empreendimentos de médio e grande porte, distantes do centro urbano consolidado e segregados do entorno. As localizações dos empreendimentos da Faixas 2 e 3 são bastante similares, porém um pouco melhores do que as localizações dos empreendimentos da Faixa 1, que tendem promover diferentes níveis de satisfação com o desempenho dos conjuntos e diferentes impactos sobre a qualidade de vida dos moradores. Finalmente, é possível concluir que o padrão de localização dos empreendimentos do Programa MCMV na Região Metropolitana de Porto Alegre parece não apresentar avanços em relação à produção habitacional do BNH e é ressaltada a importância de avaliar os impactos da localização de conjuntos habitacionais na satisfação geral dos moradores, na busca da produção de espaços residenciais qualificados que contribuam para a sustentabilidade urbana.<br>The study deals with quality evaluation of the housing program “Minha Casa Minha Vida” (MCMV) implemented in the Metropolitan Region of Porto Alegre, in order to subsidize the social housing production. Firstly, it aimed at investigate if there are different patterns of spatial location according to income groups 1, 2 and 3, which might generate different levels of integration of the housing scheme in the consolidated urban grid. Secondly, it was verified whether the location patterns are related to urban legislation at local level, incorporated in the urban regulation and resulting in locations that are more appropriate to social housing production. Moreover, it was intended to explore if the structure of the urban space produced by the Program MCMV in the Metropolitan Region of Porto Alegre showed improvements in relation to social housing produced by the National Housing Bank (BNH), considering spatial patterns of location of the housing schemes. Following, the patterns of spatial location were analyzed in order to test their impacts on the conditions of mobility and access to human and economic development opportunities that affect the level of resident satisfaction with the performance of housing schemes. Methodological procedures included multiple methods of data collection and analysis which enabled complementarities between the data obtained through archive information, physical measurements and questionnaires. The statistical analysis of quantitative data was carried out by means of frequencies and non-parametric tests such as Kruskal-Wallis and Spearman correlations. Spatial syntax analysis was used in order to measure levels of integration. Results confirm the existence of patterns of location, especially for the lowest income group, with large and medium size housing schemes distant from the consolidated urban area and segregated from its surroundings. The location of housing schemes for income groups 2 and 3 are similar, but slightly better than the locations of housing schemes for income group 1, which tend to promote different levels of resident satisfaction with the performance of the housing schemes and different impacts on their quality of life. Finally, it was possible to conclude that the patterns of location of the housing schemes produced in the Program MCMV in the Metropolitan Region of Porto Alegre did not improve in relation to social housing produced by the National Housing Bank (BNH) and highlights the importance of assessing the impacts of location of housing schemes on the overall residents satisfaction, in order to produce more qualified residential spaces that promote urban sustainability.

Cette thèse cherche à analyser les dynamiques résidentielles des populations immigrées et issues de l’immigration en France et leur situation face au logement. S’appuyant sur deux grandes bases de données, l’Echantillon Démographique Permanent (INSEE) et l’enquête Trajectoires et Origines (INED/INSEE), qui comptent parmi les rares bases de données en France qui permettent d’identifier les immigrés et leurs descendants à travers le temps (1990-2008), cette recherche comporte trois grands volets empiriques. En premier lieu, je propose un panorama des situations résidentielles des immigrés et de leurs descendants, en focalisant sur les caractéristiques des zones urbaines où ces groupes sont concentrés, leur statut d’occupation du logement, ainsi que la manière dont ces différentes dimensions résidentielles s’articulent. Deuxièmement, tirant profit de la dimension longitudinale des données, l’analyse porte sur la mobilité résidentielle de ces groupes, en traçant leurs trajectoires dans les quartiers et dans le logement. Finalement, je mène une analyse intergénérationnelle des inégalités résidentielles afin de déterminer à quel point les individus « héritent » les positions spatiales de leurs parents. L’analyse porte une attention particulière aux déterminants individuels et contextuels des trajectoires afin de mieux saisir les mécanismes qui structurent les inégalités face au logement et dans l’espace<br>My dissertation provides a comprehensive analysis of the neighborhood and housing outcomes of immigrants and natives in France. I draw on two large data sets, L’échantillon démographique permanent (INSEE) and Trajectoires et origines (INED/INSEE), which provide rare information about first and second generation immigrants, combine individual and contextual-level variables, and span several dates of observation (1990-2008). Drawing on classical theoretical approaches to immigrants’ spatial incorporation (spatial assimilation, place stratification), as well as insights from the social stratification and neighborhood effects literature, the analysis is rooted in a multidimensional, longitudinal and intergenerational approach to residential inequalities. First, I use a variety of indicators of the composition of neighborhoods (i.e. share of immigrants, co-ethnics, low-income households, the unemployment rate) in addition to housing tenure to explore associations between various dimensions of residential outcomes. Second, using longitudinal data and panel modelling techniques, the analysis captures patterns and determinants of residential mobility, transitions in neighborhoods, access to homeownership and moves in and out of the public housing sector. Finally, contributing to recent empirical work on the intergenerational reproduction of context, I seek to assess the extent to which residential situations are transmitted between parents and their children. The analysis seeks throughout to document the effects of individual factors (nativity, immigrant origin, socioeconomic status) and contextual factors (municipality and departmental characteristics) on shaping residential inequalities

Assessing information on aspects of identification, perception, emotion, and social interaction with respect to the environment is of particular importance to the fields of natural resource management. Our ability to visualize this type of information has rapidly improved with the proliferation of social media sites throughout the Internet in recent years. While many methods to extract information on human behavior from crowdsourced geodata already exist, this work focuses on visualizing landscape perception for application to the fields of landscape and urban planning. Visualization of people’s perceptual responses to landscape is demonstrated with crowdsourced photo geodata from Flickr, a popular photo sharing community. A basic, general method to map, visualize and evaluate perception and perceptual values is proposed. The approach utilizes common tools for spatial knowledge discovery and builds on existing research, but is specifically designed for implementation within the context of landscape perception analysis and particularly suited as a base for further evaluation in multiple scenarios. To demonstrate the process in application, three novel types of visualizations are presented: the mapping of lines of sight in Yosemite Valley, the assessment of landscape change in the area surrounding the High Line in Manhattan, and individual location analysis for Coit Tower in San Francisco. The results suggest that analyzing crowdsourced data may contribute to a more balanced assessment of the perceived landscape, which provides a basis for a better integration of public values into planning processes<br>Als Wahrnehmung wird der Bewusstseinsprozess des subjektiven Verstehens der Umwelt bezeichnet. Grundlage für diesen Prozess ist die Gewinnung von Informationen über die Sinne, also aus visuellen, olfaktorischen, akustischen und anderen Reizen. Die Wahrnehmung ist aber auch wesentlich durch interne Prozesse beeinflusst. Das menschliche Gehirn ist fortlaufend damit beschäftigt, sowohl bewusst als auch unbewusst Sinneswahrnehmungen mit Erinnerungen abzugleichen, zu vereinfachen, zu assoziieren, vorherzusagen oder zu vergleichen. Aus diesem Grund ist es schwierig, die Wahrnehmung von Orten und Landschaften in Planungsprozessen zu berücksichtigen. Jedoch wird genau dies von der Europäischen Landschaftskonvention gefordert, die Landschaft als einen bestimmten Bereich definiert, so wie er von Besuchern und Einwohnern wahrgenommen wird (“as a zone or area as perceived by local people or visitors”, ELC Art. 1, Abs. 38). Während viele Fortschritte und Erkenntnisse, zum Beispiel aus den Kognitionswissenschaften, heute helfen, die Wahrnehmung einzelner Menschen zu verstehen, konnte die Stadt- und Landschaftsplanung kaum profitieren. Es fehlt an Kenntnissen über das Zusammenwirken der Wahrnehmung vieler Menschen. Schon Stadtplaner Kevin Lynch beschäftigte dieses gemeinsame, kollektive ‚Bild‘ der menschlichen Umwelt ("generalized mental picture", Lynch, 1960, p. 4). Seitdem wurden kaum nennenswerte Fortschritte bei der Erfassung der allgemeinen, öffentlichen Wahrnehmung von Stadt- und Landschaft erzielt. Dies war Anlass und Motivation für die vorliegende Arbeit. Eine bisher in der Planung ungenutzte Informationsquelle für die Erfassung der Wahrnehmung vieler Menschen bietet sich in Form von crowdsourced Daten (auch ‚Big Data‘), also großen Mengen an Daten die von vielen Menschen im Internet zusammengetragen werden. Im Vergleich zu konventionellen Daten, zum Beispiel solchen die durch Experten erhoben werden und durch öffentliche Träger zur Verfügung stehen, eröffnet sich durch crowdsourced Daten eine bisher nicht verfügbare Quelle für Informationen, um die komplexen Zusammenhänge zwischen Raum, Identität und subjektiver Wahrnehmung zu verstehen. Dabei enthalten crowdsourced Daten lediglich Spuren menschlicher Entscheidungen. Aufgrund der Menge ist es aber möglich, wesentliche Informationen über die Wahrnehmung derer, die diese Daten zusammengetragen haben, zu gewinnen. Dies ermöglicht es Planern zu verstehen, wie Menschen ihre unmittelbare Umgebung wahrnehmen und mit ihr interagieren. Darüber hinaus wird es immer wichtiger, die Ansichten Vieler in Planungsprozessen zu berücksichtigen (Lynam, De Jong, Sheil, Kusumanto, &amp; Evans, 2007; Brody, 2004). Der Wunsch nach öffentlicher Beteiligung sowie die Anzahl an beteiligten Stakeholdern nehmen dabei konstant zu. Durch das Nutzen dieser neuen Informationsquelle bietet sich eine Alternative zu herkömmlichen Ansätzen wie Umfragen, die genutzt werden um beispielsweise Meinungen, Positionen, Werte, Normen oder Vorlieben von bestimmten sozialen Gruppen zu messen. Indem es crowdsourced Daten erleichtern, solch soziokulturelle Werte zu bestimmen, können die Ergebnisse vor allem bei der schwierigen Gewichtung gegensätzlicher Interessen und Ansichten helfen. Es wird die Ansicht geteilt, dass die Nutzung von crowdsourced Daten, indem Einschätzungen von Experten ergänzt werden, letztendlich zu einer faireren, ausgeglichenen Berücksichtigung der Allgemeinheit in Entscheidungsprozessen führen kann (Erickson, 2011, p.1). Eine große Anzahl an Methoden ist bereits verfügbar, um aus dieser Datenquelle wichtige landschaftsbezogene Informationen auszulesen. Beispiele sind die Bewertung der Attraktivität von Landschaften, die Bestimmung der Bedeutung von Sehenswürdigkeiten oder Wahrzeichen, oder die Einschätzung von Reisevorlieben von Nutzergruppen. Viele der bisherigen Methoden wurden jedoch als ungenügend empfunden, um die speziellen Bedürfnisse und das breite Spektrum an Fragestellungen zur Landschaftswahrnehmung in Stadt- und Landschaftsplanung zu berücksichtigen. Das Ziel der vorliegenden Arbeit ist es, praxisrelevantes Wissen zu vermitteln, welches es Planern erlaubt, selbstständig Daten zu erforschen, zu visualisieren und zu interpretieren. Der Schlüssel für eine erfolgreiche Umsetzung wird dabei in der Synthese von Wissen aus drei Kategorien gesehen, theoretische Grundlagen (1), technisches Wissen zur Datenverarbeitung (2) sowie Kenntnisse zur grafischen Visualisierungen (3). Die theoretischen Grundlagen werden im ersten Teil der Arbeit (Part I) präsentiert. In diesem Teil werden zunächst Schwachpunkte aktueller Verfahren diskutiert, um anschließend einen neuen, konzeptionell-technischen Ansatz vorzuschlagen der gezielt auf die Ergänzung bereits vorhandener Methoden zielt. Im zweiten Teil der Arbeit (Part II) wird anhand eines Datenbeispiels die Anwendung des Ansatzes exemplarisch demonstriert. Fragestellungen die angesprochen werden reichen von der Datenabfrage, Verarbeitung, Analyse, Visualisierung, bis zur Interpretation von Grafiken in Planungsprozessen. Als Basis dient dabei ein Datenset mit 147 Millionen georeferenzierte Foto-Daten und 882 Millionen Tags der Fotoaustauschplatform Flickr, welches in den Jahren 2007 bis 2015 von 1,3 Millionen Nutzern zusammengetragen wurde. Anhand dieser Daten wird die Entwicklung neuer Visualisierungstechniken exemplarisch vorgestellt. Beispiele umfassen Spatio-temporal Tag Clouds, eine experimentelle Technik zur Generierung von wahrnehmungsgewichteten Karten, die Visualisierung von wahrgenommenem Landschaftswandel, das Abbilden von wahrnehmungsgewichteten Sichtlinien, sowie die Auswertung von individueller Wahrnehmung von und an bestimmten Orten. Die Anwendung dieser Techniken wird anhand verschiedener Testregionen in den USA, Kanada und Deutschland für alle Maßstabsebenen geprüft und diskutiert. Dies umfasst beispielsweise die Erfassung und Bewertung von Sichtlinien und visuellen Bezügen in Yosemite Valley, das Monitoring von wahrgenommenen Veränderungen im Bereich der High Line in New York, die Auswertung von individueller Wahrnehmung für Coit Tower in San Francisco, oder die Beurteilung von regional wahrgenommenen identitätsstiftenden Landschaftswerten für Baden-Württemberg und die Greater Toronto Area (GTA). Anschließend werden Ansätze vorgestellt, um die Qualität und Validität von Visualisierungen einzuschätzen. Abschließend wird anhand eines konkreten Planungsbeispiels, des London View Management Frameworks (LVMF), eine spezifische Implementation des Ansatzes und der Visualisierungen kurz aufgezeigt und diskutiert. Mit der Arbeit wird vor allem das breite Potential betont, welches die Nutzung von crowdsourced Daten für die Bewertung von Landschaftswahrnehmung in Stadt- und Landschaftsplanung bereithält. Insbesondere crowdsourced Fotodaten werden als wichtige zusätzliche Informationsquelle gesehen, da sie eine bisher nicht verfügbare Perspektive auf die allgemeine, öffentliche Wahrnehmung der Umwelt ermöglichen. Während der breiteren Anwendung noch einige Grenzen gesetzt sind, können die vorgestellten experimentellen Methoden und Techniken schon wichtige Aufschlüsse über eine ganze Reihe von wahrgenommenen Landschaftswerten geben. Auf konzeptioneller Ebene stellt die Arbeit eine erste Grundlage für weitere Forschung dar. Bevor jedoch eine breite Anwendung in der Praxis möglich ist, müssen entscheidende Fragen gelöst werden, beispielsweise zum Copyright, zur Definition von ethischen Standards innerhalb der Profession, sowie zum Schutz der Privatsphäre Beteiligter. Längerfristig wird nicht nur die Nutzung der Daten als wichtig angesehen, sondern auch die Erschließung der essentiellen Möglichkeiten dieser Entwicklung zur besseren Kommunikation mit Auftraggebern, Beteiligten und der Öffentlichkeit in Planungs- und Entscheidungsprozessen

Cette thèse présente PARDISIM, un modèle de simulation qui propose une approche économique institutionnelle pour la simulation du processus de développement résidentiel. Plutôt que de modéliser le développement résidentiel comme le résultat de choix de localisation au niveau des ménages, PARDISIM met l'accent sur les objectifs et les interactions des acteurs du développement résidentiel. L'idée est que les acteurs du développement, y compris les autorités publiques d'aménagement, jouent un rôle important dans le processus de développement résidentiel. L'approche est donc top-down et se démarque des approches habituelles bottom-up. Les premiers résultats obtenus montrent que PARDISIM est capable de produire des configurations spatiales réalistes.

This research attempts to extend the application of spatial analysis to the investigation of human agency in social relations. Marcos Llobera's research framework on modelling daily experience and social space showcases great potentials of utilising Geographic Information Systems (GIS) to explore the perception and behaviour of individual agents. By expanding Llobera's work and incorporating Tim Ingold's wayfaring theory to explore the human agency in the context of social relations, this research proposes a new analytical method to investigate social relations through the accumulation of intimate interactions. Exemplified with detailed analysis on two settlements of Kaushi people in Taiwan, the proposed analytical method demonstrates great strength and yields fruitful insights into their social structure and transformation. In addition, this method is particularly instrumental in unravelling specific relations between individuals, as well as between social groups. The application of this method on Kaushi settlements yielded fruitful insights of their social structure and transformation. On the other hand, the side products of this approach can be further employed to investigate the visual structure and movement intensity of a site, as well as to experiment alternative 'what if' scenarios relating to visibility, movement, and interaction. In sum, this research augments the potential of spatial analysis to explore human agency in a social context and lays out a further platform for the investigation of social relations at a settlement scale.

As precipitation is a very important parameter of climate and hydrology, exploring spatial and temporal distribution and variation of this variable can give an idea about climate conditions and water resources in the future. Therefore accurate mapping of the temporal and spatial distributions of precipitation is important for many applications in hydrology, climatology, agronomy, ecology and other environmental sciences. In this thesis, spatiotemporal distributions and variations of total annual, seasonal and monthly precipitation of the Eastern Mediterranean (EM) are analysed. The Eastern Mediterranean is one of the most prominent hot spot of climate change in the world further; extreme climatic events such as drought are expected to become more frequent and intense in this region. Main data source is instrumental data of monthly and daily precipitation at 103 and 70 meteorological stations, respectively. Spatial coherence analysis, coefficient of variation (CV), rainfall seasonality index (SI), incomplete gamma distribution and precipitation concentration index (PCI) are applied to evaluate the seasonality and variability of annual, seasonal and monthly precipitation amounts and their distribution. Daily precipitation concentration index (CI) is used as an important index for specifying daily rainfall characteristics. Additionally, rainfall entropy is also calculated for monthly and daily data for finding the most suitable probability distribution under the available information. High to moderate irregularity and rainfall concentration are the two very characteristic features of rainfall in the EM. Highest values of daily CI are detected in the southern parts of the EM. Distribution of annual precipitation CI trends indicate a statistically significant increase in the northern and northwestern regions of the EM. Four meteorological drought indices (DIs) are calculated at monthly time scale, the Standardized Precipitation Index (SPI), the Modified China Z Index (MCZI), the Statistical Z -scores and the Rainfall Decile based Drought Index (DI) while the Effective Drought Index (EDI) is calculated at daily time scale. All selected DIs with multiple time steps are applied to compute the severity for five time steps of 3, 6, 9, 12 and 24-month, and compared with each other and EDI. The most significant factor affecting the spatial accuracy of drought indices is seasonality. Study of DIs shows that the DIs are highly correlated at same time steps and can alternatively be used and the DIs computed for 6 and 9-month time step are best correlated with each other. SPI and MCZI are more consistent in detecting droughts for different time steps. EDI is found to be best correlated with other DIs when considering all time steps. The investigation shows that the use of an appropriate time step is as important as the type of DI used to identify drought severities. Principal Component Analysis (PCA) is employed and reveals the main modes and spatiotemporal variability of seasonal and annual precipitation and droughts over the EM. The preliminary analysis indicated tendencies towards a drier climate due to a statistically significant decrease in annual precipitation over the EM. The analysis of indicators of extreme events reveals a much more complex transformation of the climatic pattern with strong regional and seasonal variation. The results demonstrated that an extreme wet spells in the EM will shorten in all seasons, except autumn. Precipitation extremes are projected to become more pronounced in the northern parts of the EM than in southern ones and tend to be more significant during autumn. Extreme and heavy precipitation events showed a statistically significant decrease in whole parts of the EM and in the southern ones, respectively with a significant decreasing in total precipitation amount. A significant increase in daily intense precipitation events in the northern parts of the EM. In addition, climate extreme indices recommended by the joint World Meteorological Organization (CCL/CLIVAR/JCOMM) Expert Team on Climate Change Detection and Indices (ETCCDI) are also calculated for daily precipitation data. Finally, Mann- Kendall test, cumulative sum chart (CUSUM), regime shift index (RSI) calculated by a sequential algorithm are applied for detecting the shifts in the means of seasonal and annual precipitations. Mann-Kendall test and the linear slopes of trends are calculated using Sen’s slope estimator to determine the trend magnitude for SPI, CI, extreme precipitation indices, dry and drought periods. The highest decreasing of rainfall amounts is found in spring and winter and these seasons are the overall driving factor of trends in annual precipitation. Overall results of the trend analysis on the reconstructed shows that over last 52 years the drought events are more sever and frequent after 1990s over the EM which reflects negative effects on socio- economic sectors as well as water resources in this region. The findings of this study could be used or extended in further studies in the future to gain insights regarding the precipitation variability, drought patterns and extreme events over the domain of the EM.<br>La precipitación es una variable muy importante del clima y la hidrología. La exploración de su distribución espacial y temporal y su variación puede dar una idea acerca de las condiciones del clima y los recursos hídricos en un futuro. Por lo tanto, el mapeo amento? Preciso de la distribución temporal y espacial resulta importante para muchas aplicaciones ya sea en hidrología, climatología, agronomía, ecología, y otras ciencias ambientales. En esta tesis, se analizan las distribuciones espacio-temporales y variaciones de la precipitación total anual, estacional y mensual en el Mediterráneo Oriental (MO). El Mediterráneo Oriental es uno de los puntos calientes más prominentes al cambio climático por lo que espera que los eventos climáticos extremos, como las sequías, sean más frecuentes e intensas en esta región. La principal fuente de datos es instrumental, de estaciones meteorológicas. Con un total de 103 a escala mensual y 70 a escala diaria. El análisis espacial de coherencia, el coeficiente de variación (CV), el índice de estacionalidad y precipitaciones (SI), la distribución gamma incompleta y el índice de concentración de la precipitación (PCI), se aplican para evaluar la estacionalidad y la variabilidad de las cantidades de precipitación anual, estacional y mensual y su distribución. El índice de concentración de la precipitación diaria (CI) se utiliza como índice imprescindible para la especificación de las características diarias de lluvia. Además, la entropía de las precipitaciones también se calcula para los datos mensuales y diarios con el fin de encontrar la distribución de probabilidad más adecuada de la información disponible. Una irregularidad moderada y la concentración de las precipitaciones son los dos rasgos más característicos de las precipitaciones en la EM. Los valores más altos de CI diario se detectan en las partes meridionales de la EM. La distribución de las tendencias anuales de (CI precipitación) indican un aumento estadísticamente significativo en las regiones del norte y noroeste de la EM. Cuatro índices de sequía meteorológica (DIs) se calculan a escala de tiempo mensual, el Índice de Precipitación Estandarizada (SPI), la modificación de China Índice Z (MCZI), los -scores Z estadísticos y el Índice de Sequía basada precipitaciones débil (DI), mientras que la sequía Efectiva Índice (EDI) se calcula en la escala de tiempo diario. Todos los DIs seleccionados con múltiples pasos de tiempo se aplican para calcular la gravedad durante cinco pasos de tiempo de 3, 6, 9, 12 y 24 meses, y se compararon entre sí y con EDI. El factor más importante que afecta a la precisión espacial de índices de sequía es la estacionalidad. El estudio de DIs muestra que los DI están altamente correlacionados en mismos pasos de tiempo y de forma alternativa se pueden utilizar, y los DI calculados para los pasos de tiempo de 6 y 9 meses son los más correlacionados entre sí. SPI y MCZI son más consistentes en la detección de las sequías para los diferentes pasos de tiempo. El EDI tiene la mejor correlación con otros DIS en diferentes pasos de tiempo. La investigación muestra que el uso de un paso de tiempo apropiado es tan importante como el tipo de DIs utilizado para identificar severidades de sequía. Los análisis de los Componentes Principales (PCA) se emplean y revelan los principales modos de la variabilidad espacio-temporal de la precipitación estacional, anual y también los episodios de las sequías del MO. El análisis preliminar indica tendencias hacia un clima más seco debido a una disminución estadísticamente significativa en la precipitación anual durante el MO. El análisis de los indicadores de los fenómenos extremos revela una transformación mucho más compleja de la pauta climática con fuerte variación regional y estacional. Los resultados demostraron que episodios de lluvia extrema en el EM se acortarán en todas las estaciones, excepto otoño. Las precipitaciones extremas se proyectan a ser más pronunciadas en la parte norte de la MO que en las del sur, y tienden a ser más significativas en el otoño. Eventos extremos de precipitación mostraron una disminución estadísticamente significativa en partes enteras de la EM, y en las del sur, respectivamente, con una significativa disminución en la cantidad total de precipitación y un aumento significativo de las precipitaciones intensas diarias en la parte norte de la EM. Además, los índices de extremos climáticos recomendados por la Organización Meteorológica Mundial (CCL / CLIVAR / CMOMM), con un equipo de expertos sobre detección del cambio climático e índices (ETCCDI), también se calculan para los datos de precipitación diaria. Por último, la prueba de Mann-Kendall, carta suma acumulativa (CUSUM), el índice de cambio de régimen (RSI), calculado mediante un algoritmo secuencial fueron aplicadas para detectar los cambios en el medio de las precipitaciones estacionales y anuales. La prueba de Mann-Kendall y las pistas lineales de las tendencias se calculan utilizando la pendiente estimadora de Sen para determinar la magnitud tendencia de SPI, CI, los índices de precipitación extrema, los períodos secos y sequías. La mayor disminución de las cantidades de lluvia se encuentra en la primavera e invierno. Estas estaciones son el factor de conducción general de las tendencias de la precipitación anual. Y los resultados generales del análisis de las tendencias en los programas reconstruidos indican que durante los últimos 52 años las sequías son más frecuentes después el año 1990 sobre el MO, los cuales reflejan los efectos negativos sobre los sectores socioeconómicos, así como los recursos hídricos en esta región. Los hallazgos de este estudio podrían utilizarse o ampliarse en otros estudios en el futuro para obtener información con respecto a la variabilidad de la precipitación, patrones de sequía y fenómenos extremos sobre el dominio del MO.

SOCIAL STRATIFICATION AND CONSUMPTION PROFILES OF ANKARA: A CASE STUDY IN ANKARA RESIDENTIAL AREAS This dissertation attempts to develop a social stratification model considering its spatial dimension for the households in the city of Ankara. The spatiality of social class has rarely been in the agenda of scholars and has not been explored empirically. For this reason, the study aims to test the hypothesis that social segregation in Turkish cities is empirically measurable and manifests itself in the common patterns of behaviours and similar conditioning of existence in the urban space. The focus of attention of the thesis is based on the relationship between the material inequalities of different social strata within its territorial context. If a class becomes a social reality, this must be shown in the formation of common patterns of behaviour and attitude, and manifests itself in urban space. In short the scope of the study is a twofold: Thesis questions are: (1) how and upon what basis social groups and strata can be located in the economic and socio-cultural structure of the society. This part of the study deals with the objective &amp<br>#8216<br>&amp<br>#8217<br>set&amp<br>#8217<br>&amp<br>#8217<br>of criteria<br>thesis question (2) whether the same coherency can be coincided in the space. This part deals with the analysis of the spatial dimension of social &amp<br>#8216<br>&amp<br>#8217<br>class&amp<br>#8217<br>&amp<br>#8217<br>which means segregation. Thesis findings provide sufficient evidence that the differences stemmed from the material possessions and consumption patterns of the urban households cannot be understood by employing the conventional instruments as such rural/urban, traditional/modern as the division of axes. New conceptualisation urgently is needed and consumption studies offer prospective and highly potential issue.

This study challenges the traditions of the sociology of work and industrial relations by taking into consideration a new emergent category of workers: the Independent Professionals (IPros). Recent data (Labour Statistics) provide some hints on the relevance of the phenomenon: self-employed workers in advanced services (finance, counselling, producing-distributing information, auditing and so on) have increased their share in employment in most countries. As a recent survey (Edelman Berland 2014) pointed out, 53 million Americans are doing freelance work (53 percent of the entire workforce) Despite these figures, the phenomenon is still overlooked by the academic literature. The aim is to provide a first description of this phenomenon not only from a mere labour perspective, but considering spatial practices and lifestyles too. Indeed labour studies and economic sociology should not avoid considering space and time as two main dimensions shaping their object of study: workers are not abstract entities, they are fully part of the material environment they move in. Labour markets, Welfare regimes, and spatial processes play together. Mobility-related literature traditionally identifies two different forms of moving to get a job: mobility of less skilled people for whom becoming mobile is the only way to get a job, and mobility of highly qualified people, looking for career opportunities. What is missing in this binary analysis is a new intermediate workforce, the self-employed independent professionals (Ipros) who often experience long distance interregional commuting patterns. Among them there are young high-skilled people with low income who are likely to undergo phenomena of spatial exclusion at the regional level. Where do they live? Where do they work? What are the explaining micro and macro variables? These questions will be discussed in the contribution which has firstly a descriptive and investigative aim. The method of study is based on quantitative analysis mainly performed on web survey data, due to the lack of available offical data sources in Italy. Specifically we provide a detailed description of survey design and data collection process, with a focus on methodological strategies applied for data cleaning, coding and editing in order to better highlight first descriptive results related to research questions. GIS (Geographical Information System) tools have been applied to survey data in order to provide a full extensive spatial description of social phenomena investigated: the core analysis is based on GIS and spatial statistics techniques by using data collected at micro and macro levels.

La ricerca sull'espansione territoriale delle mafie italiane si è spesso limitata all'analisi di una singola organizzazione o di un solo paese. I pochi studi con una prospettiva più ampia non esaminano in dettaglio come organizzazioni mafiose diverse operano in paesi diversi. Per colmare tale vuoto conoscitivo, questo studio analizza la presenza di Cosa Nostra, Camorra e 'Ndrangheta in Europa, con l'obiettivo di individuare modelli di espansione mafiosa. Lo studio combina varie fonti di informazione e diversi livelli di analisi. Dapprima, utilizza rapporti ufficiali per mappare la presenza delle mafie italiane in Europa ed identificarne le principali caratteristiche. Successivamente, approfondisce tre casi di studio paese e, sulla base di interviste con esperti, analizza come le diverse organizzazioni operano nei diversi paesi. I risultati mostrano che i fattori legati al territorio e al tipo di attività prevalgono sulle caratteristiche dell'organizzazione nel definire i modelli di espansione mafiosa. Le mafie italiane si concentrano in alcuni paesi Europei e in determinate aree all'interno dello stesso paese. Il traffico di droga è la caratteristica più ricorrente della loro presenza in Europa. La 'Ndrangheta è l'unica organizzazione ad aver riprodotto le proprie strutture all'estero, sebbene ciò non avvenga in tutti i paesi Europei in cui è presente.<br>Research on the spatial mobility of Italian mafias has frequently adopted a narrow approach, focusing on only one type of mafia or a single country. The few studies with a broader perspective do not examine in detail how different mafias operate across different countries. This study addresses these gaps by providing a first comprehensive analysis of the presence of Cosa Nostra, the Camorra and the 'Ndrangheta across Europe, with the aim of identifying patterns of mafia mobility. The study combines different data sources and different levels of analysis. Drawing from official reports, it firstly maps the spread of the Italian mafias in Europe and identifies the main characteristics of their presence abroad. Secondly, it focuses on three country case studies and, based on expert interviews, compares how different mafias operate across different countries. The results show that country-related and activity-related characteristics prevail over organizational ones in determining patterns of mafia mobility. Italian mafias concentrate in a few European countries and in specific areas within a country. Drug trafficking is the most recurrent feature of their presence abroad. The 'Ndrangheta is the only mafia which has a structured presence in Europe, although it does not reproduce its structures in all foreign countries.

La ricerca sull'espansione territoriale delle mafie italiane si è spesso limitata all'analisi di una singola organizzazione o di un solo paese. I pochi studi con una prospettiva più ampia non esaminano in dettaglio come organizzazioni mafiose diverse operano in paesi diversi. Per colmare tale vuoto conoscitivo, questo studio analizza la presenza di Cosa Nostra, Camorra e 'Ndrangheta in Europa, con l'obiettivo di individuare modelli di espansione mafiosa. Lo studio combina varie fonti di informazione e diversi livelli di analisi. Dapprima, utilizza rapporti ufficiali per mappare la presenza delle mafie italiane in Europa ed identificarne le principali caratteristiche. Successivamente, approfondisce tre casi di studio paese e, sulla base di interviste con esperti, analizza come le diverse organizzazioni operano nei diversi paesi. I risultati mostrano che i fattori legati al territorio e al tipo di attività prevalgono sulle caratteristiche dell'organizzazione nel definire i modelli di espansione mafiosa. Le mafie italiane si concentrano in alcuni paesi Europei e in determinate aree all'interno dello stesso paese. Il traffico di droga è la caratteristica più ricorrente della loro presenza in Europa. La 'Ndrangheta è l'unica organizzazione ad aver riprodotto le proprie strutture all'estero, sebbene ciò non avvenga in tutti i paesi Europei in cui è presente.<br>Research on the spatial mobility of Italian mafias has frequently adopted a narrow approach, focusing on only one type of mafia or a single country. The few studies with a broader perspective do not examine in detail how different mafias operate across different countries. This study addresses these gaps by providing a first comprehensive analysis of the presence of Cosa Nostra, the Camorra and the 'Ndrangheta across Europe, with the aim of identifying patterns of mafia mobility. The study combines different data sources and different levels of analysis. Drawing from official reports, it firstly maps the spread of the Italian mafias in Europe and identifies the main characteristics of their presence abroad. Secondly, it focuses on three country case studies and, based on expert interviews, compares how different mafias operate across different countries. The results show that country-related and activity-related characteristics prevail over organizational ones in determining patterns of mafia mobility. Italian mafias concentrate in a few European countries and in specific areas within a country. Drug trafficking is the most recurrent feature of their presence abroad. The 'Ndrangheta is the only mafia which has a structured presence in Europe, although it does not reproduce its structures in all foreign countries.

L'étude des comportements de mobilité est une thématique très peu investie dans les villes d'Afrique subsaharienne. Ces villes sont caractérisées par une croissance urbaine fulgurante avec comme corollaire un étalement spatial, des densités démographiques très élevées et une crise du secteur des transports dominé par les opérateurs artisanaux. Ces dynamiques, qui sont à l'origine de déséquilibres spatiaux, font que l'accès aux aménités urbaines devient très difficile pour les catégories de population les plus pauvres. A Dakar, les options d'aménagement ségrégationnistes prises par les autorités coloniales, l'inefficacité des instruments classiques de planification urbaine ainsi que la dérégulation du marché du foncier et de l'immobilier ont été à la base d'une dynamique de différenciation socio-spatiale. Ce travail de recherche, en faisant usage des méthodes d'analyse multidimensionnelle (Analyse en Composante Principale et Classification Ascendante Hiérarchique) et en se basant sur des enquêtes « ménages-déplacements » originales, se donne pour objectif d'analyser la dynamique ségrégative à Dakar et d'éclairer les liens existants entre la localisation résidentielle des ménages et les comportements de mobilité des individus dans un contexte urbain très changeant<br>The study of mobility behavior has not been well investigated in Sub-Saharan cities. These cities are characterized by rapid urban growth resulting in sprawl space, very high population densities and a crisis in transport sector which is dominated by craft operators. These dynamics, which are at the origin of spatial imbalances mean that access to urban amenities becomes very difficult for the poorest categories of the population. In Dakar, segregationist territorial management options taken in the past by colonial authorities, the ineffectiveness of traditional instruments of urban planning as well as disregulation of land market and real estate, have created a dynamic socio-spatial differentiation. This research project, by using multivariate analysis methods (Principal Component Analysis and Hierarchical Cluster Analysis) is based on original household travel surveys. Our objective is to analyze the dynamics of socio-spatial segregation in Dakar and illuminate the links between residential location and household mobility behavior in a changeable urban context

Many MBA buildings have been studied from different points of views and approaches<br>however, their spatial patterns were scarcely investigated. This thesis aims to assess the usefulness of Depth Analysis, a sub-method of Space Syntax, in the understanding of spatial patterns of MBA palaces. The palaces of key MBA sites, Acemh&ouml<br>y&uuml<br>k, Tell Mardikh and K&uuml<br>ltepe, were selected for the analysis. In the conclusion it is suggested that Depth Analysis can be a very useful method in understanding the configuration of spaces when there is sufficient available data. An equally successful application of this method lies in the comparative analysis of different buildings.

Submitted by Lucienne Costa (lucienneferreira@ufcg.edu.br) on 2018-08-30T17:25:22Z No. of bitstreams: 1 CAIO LIBÂNIO MELO JERÔNIMO – DISSERTAÇÃO (PPGCC) 2017.pdf: 4821943 bytes, checksum: 615dc29730ed480c902a5496dce5492f (MD5)<br>Made available in DSpace on 2018-08-30T17:25:22Z (GMT). No. of bitstreams: 1 CAIO LIBÂNIO MELO JERÔNIMO – DISSERTAÇÃO (PPGCC) 2017.pdf: 4821943 bytes, checksum: 615dc29730ed480c902a5496dce5492f (MD5) Previous issue date: 2017-07-07<br>Capes<br>A demanda constante por melhorias na qualidade de vida dos habitantes das grandes cidades, somado à crescente urbanização desses centros, torna imprescindível a utilização de meios tecnológicos para um melhor entendimento da dinâmica dos centros urbanos e como seus habitantes interagem nesses ambientes. Nesse sentido, o aumento na utilização de dispositivos eletrônicos equipados com sistemas GPS e o constante anseio da humanidade por comunicação e, mais atualmente, por conexão à internet, vem criando novas oportunidades de estudo e também grandes desafios, especialmente no que tange a grande quantidade de dados gerados pelas redes sociais. Diversas pesquisas vêm utilizando esses dados para realizar estudos que buscam compreender traços do comportamento humano, especialmente no que diz respeito à mobilidade urbana e trajetórias. Porém, grande parte das pesquisas que utilizam dados georreferenciados se restringem às dimensões espaciais e temporais, desconsiderando outros aspectos que podem influenciar na mobilidade humana. Este trabalho propõe um método computacional capaz de extrair padrões de mobilidade oriundos de mensagens georreferenciadas de redes sociais e correlacioná-los com indicadores sociais, econômicos e demográficos fornecidos por órgãos governamentais, buscando assim, analisar quais possíveis fatores poderiam exercer alguma influência sobre a mobilidade dos moradores de uma grande cidade. Para validar o método proposto, foram utilizadas mensagens postadas no Twitter e um conjunto de indicadores sociais, ambos oriundos da cidade de Londres. Os resultados mostraram a existência de correlações entre padrões de mobilidade e indicadores sociais, especialmente os relacionados com condições de emprego e renda, como também com características étnico-religiosas dos indivíduos em estudo.<br>The constant need for improvements in life quality of inhabitants of big cities, together with the increasing urbanization of these centers, demands the use of technological means for a better understanding of the dynamics of urban centers and how their inhabitants interact in these environments. In this sense, the adoption of electronic devices equipped with GPS systems, the human need for communication and, more recently, for Internet connection, have brought new research opportunities and great challenges, especially due to the huge amount of data generated by social networks. Several studies have used this data to carry out research that seek to understand traces of human behavior, especially with respect to urban mobility and trajectories. However, much of the research that uses georeferenced data are restricted to spatial and temporal dimensions, disregarding other aspects that may influence human mobility. This work proposes a model capable of extracting mobility patterns from georeferenced messages of social networks and correlating them with social, economic and demographic indicators provided by government agencies, seeking to analyze which factors may impact in urban mobility. To evaluate the model, we used messages posted on Twitter and a set of social indicators, both related to the city of London. The results revealed the existence of correlations between mobility patterns and social indicators, especially those related to employment and income conditions, as well as ethnic and religious characteristics of the individuals under study.

La Syrie intérieure est composée d'une mosaïque de milieux et de micromilieux dont les caractéristiques lithologiques, édaphiques et hydrologiques permettent de compenser l'aridité climatique, ou renforcent au contraire les contraintes imposées aux modes de vie et de subsistance, de nos jours comme par le passé. Cette étude multiscalaire - supra‐régionale, régionale et microrégionale - de l'environnement des sites PPNA et PPNB (9 500‐6 500 av. J.‐C.) a permis de comprendre comment ont pu être opérés les choix d'implantation, définies les stratégies de subsistance et l'exploitation des ressources. Au‐delà des critères évidents orientant les choix des lieux d'implantation, tel que l'accès à une ressource en eau, il a été démontré que les communautés néolithiques ont très tôt sélectionné des lieux d'installation bénéficiant de milieux propices aux pratiques agricoles et de terroirs complémentaires permettant de mettre en œuvre des stratégies culturales diversifiées. Leur capacité d'adaptation à un milieu contraignant, le développement progressif des activités agro‐pastorales ainsi que leur maîtrise croissante de l'eau, leur ont permis de coloniser l'ensemble de la Syrie intérieure aux PPNB récent et final. Les prémices du nomadisme pastoral seraient nées dans ce contexte, et dès lors que l'élevage fut maîtrisé, d'une recherche par les groupes mobiles du mode de vie et de subsistance le plus adapté aux contraintes de la steppe. Cette étude a par ailleurs permis de tester à grande échelle - spatiale et temporelle - une méthode d'analyse microrégionale, s'inspirant de la démarche de type Site Exploitation Territory, et d'en faire l'analyse critique avec comme objectif l'élaboration ultérieure d'un modèle d'analyse plus abouti, si possible en concertation avec les spécialistes des disciplines concernées par ces problématiques.

The spatial mobility of the aged has, until recently, been a neglected area of study. Studies by gerontologists focused on housing, health and social services that influenced the quality of life of elderly and ignored spatial mobility. Mobility is an important variable for the aged, to take advantage of the wide variety of shopping, social, cultural and recreational services provided within residential environments. Moreover, for any interaction to take place outside the home, the aged must utilize public transport, motor vehicles or walk. Apartheid policies with its associated racial discrimination had a major impact on the lives of the aged, especially in black communities. Presently, there is a lack of understanding of the problems of the aged in disadvantaged communities because previous research was conducted mainly in white communities. In the light of the above, the aim of this study was to determine the spatial mobility patterns of the aged in Chatsworth, Durban, and to identify difficulties encountered when engaging in day to day activities. It is based on the rationale that mobility is a good measure for assessing the quality of life of the aged and determines the mobility patterns of the elderly in terms of time, cost and distance of travel. This study also identifies factors impeding mobility and makes recommendations to improve the spatial mobility of the aged. The study revealed that the aged in Chatsworth are both mobile and active. It was evident, however, that the aged experienced mobility problems that limited their access to essential services and facilities, because of inefficient transport, low income, lack of facilities and disabilities associated with the ageing process. The underlying feeling of the majority of the respondents was that the transport service in the area should be improved and the state pensions that they received should be increased in order to enhance their mobility and quality of life. Planners and policy makers must consider the concerns of the aged and respond to their needs so that they can continue to have active and independent lives in the community. The planning process can assist in breaking down barriers that hinder the mobility of the aged, and in so doing give the elderly improved opportunities to enjoy the same quality of life as the rest of society. Assistance with mobility and access to services and facilities will not only increase the range of opportunities for the elderly, but in the long term, reduce the amount of institutional care spent on them. Future generations of elderly people will have higher aspirations, expectations, be better educated and prepared for retirement. Present services and facilities are inadequate to cater for the new generation of elderly people and must be upgraded to cope with, and prevent, similar problems recurring in the future.<br>Thesis (M.A.)-University of Durban-Westville, 1995.

A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of requirements for the degree of Master of Science. Johannesburg, 2015.<br>This dissertation examines the imaginations and use of space by black residents in Suburban South Africa, with a particular focus on the small town of Mokopane, in the context of urban desegregation and integration. Given the segregated spatial legacy of apartheid, the post-apartheid state has and continues to seek ways to create a non-racial and integrated society. However, twenty years after the demise of the apartheid regime and the country remains segregated along racial and class lines. In understanding some of the reasons why integration remains a challenge, this research investigates black residents’ use of public spaces in the context of a supposedly desegregated space. It investigates the socio-spatial relations between residents of three adjoined suburbs, two of which are a product of apartheid and one a recent development of the state’s spatial policy to create integrated communities. The study is not focused solely on the social and spatial relations within the confines of the study area but most significantly beyond that in order to comprehend people’s relationship and meanings attached to space. Drawing from Lefebvre’s theory of the production of space, imagined and psychoanalytical geographies, the study reflects on how people’s identities, rooted in a history of colonialism and apartheid, affect the way they imagine and use space and, further, how the arrival of those considered as other reveals the symbolic meanings and boundaries that have been attached to space. The study further draws from post-colonial literature on space to challenge prevalent notions of the relationship between race and space, with a particular focus on the rural-township-urban mobilities and what those mean in the construction of blackness. Thematic content and discourse analysis are used to decode meaning embedded in language in terms of how people relate to others socially and spatially. The dissertation reveals that, even in contexts where spatial desegregation has been attained, the use and imagination of space and the relationship to others are rooted within historical configurations of racial and class identities. Further, black residents’ experience of historically white spaces remains rooted in their lived experiences and in their understanding of their belonging in urban spaces as inherently white. It is against this backdrop that this research argues that, in the quest to develop integrated post-apartheid communities, the state has given insufficient, if any, thought on the ways space, class and race are produced relationally.

Num período onde se discute a regeneração dos centros históricos de Lisboa é importante compreender que o espaço físico é fruto das relações e práticas sociais, o retrato da dinâmica social do tempo no espaço. O caso de estudo é o Bairro Alto e esta investigação procura compreender, através da análise do contexto socio espacial, a correlação entre a vida espacial e a vida social, examinando os aspetos configuracionais do sistema espacial como suporte físico da lógica social. A correlação entre padrões de dimensão espacial e social são um forte contributo para a classificação de um modo de vida e para a cooperação no estudo do processo de gentrificação no Bairro Alto. Ao longo da investigação espaço e a sociedade são tidos como indissociáveis, entendendo espaço enquanto estrutura arquitetónica e urbana e sociedade como criador e utilizador do espaço social. Se os valores e os comportamentos da sociedade mudam, o espaço tende a adaptar-se a essa mudança, como reflexo do processo de personalização e socialização do Homem. O recurso à metodologia da sintaxe espacial permitiu construir uma análise a diferentes escalas e por períodos históricos, desde a escala global da cidade até à escala de rua no Bairro Alto. Esta análise permitiu dissecar o espaço como um conjunto codificado de informações, através de três níveis de análise: Distribuição do espaço, em que se estuda a configuração do espaço; Distribuição no espaço, aferindo a posição relativa dos usos e funções no espaço e a Distribuição através do espaço, com a observação e mapeamento do comportamento social no espaço.<br>In this particular moment, when we actively debate the reinvigoration of Lisbon’s historical hallmarks, it is important to understand that the physical space originates from social interactions – the depiction of social dynamics of time within space. Through the analysis of the sociological use of space and using the Bairro Alto as a case study, this research aims at understanding the correlation between the spatial and social dynamics, analysing the configurational aspects of the spatial system as a tangible support of social dialectics. The correlation between spatial and social patterns is an important factor for the definition of a lifestyle and therefore, for the study of Bairro Alto’s gentrification process. Throughout this research, space and society are regarded as indivisible concepts, idealizing space as an architectural and urban structure and society as the creator and user of social space. As the values and behaviours of society change also space leans towards adaption, as a mirror of the human personalization and socialization process. The use of spatial syntax methodology allowed for a multiscaled analysis throughout several historical periods, ranging from a more global city perspective to a further concise street view at Bairro Alto. This analysis led to the partition of space, as an assortment of codified information, in three different concepts: space distribution, where spatial configuration is analysed; distribution within space, where the usage and location of services is assessed and finally, distribution throughout space, where social behaviour is observed and spatially mapped

Concern has been expressed regarding the impacts of climate change on the hydroecology of the Mackenzie Delta, thus identifying a need for better understanding of the ice break-up regime. Archived records at hydrometric stations in the delta for the period 1974 to 2006, supplemented with observations and remotely sensed imagery, are used to assemble a break-up chronology and examine spatial and temporal patterns of break-up flooding. Hydroclimatic controls on break-up are assessed by statistical, qualitative, and trend analysis of upstream discharge and downstream ice characteristics. For the most severe break-up flooding, two event types are identified: ice-driven events, with high backwater and high peak levels in the southern, eastern and western delta, and discharge-driven events, with high levels in the mid and outer delta and along Middle Channel. Break-up initiation during ice (discharge) events occurs earlier (later) than the delta average. Severity of break-up water levels is most influenced by upstream discharge, while timing is related to ice conditions and spring hydrograph rise. Rapid upstream melt and lower intensity melt in the delta prior to break-up characterize the most severe events. Trend analysis reveals a tendency toward earlier break-up, a longer prebreak-up melt interval, and a lower magnitude of hydroclimatic controls.

The movements of two vervet monkey troops were studied to determine whether they optimize their rate of food intake in relation to seasonal energy availability. The effect of variation in habitat structure on the troops’ foraging strategies while utilizing temporally and spatially distributed resources was determined. Troop home range boundaries were delineated, the various plant communities and species utilised by the troops identified and classified, and variations in home range and vegetation structure were reported. The diets of the troops were determined and compared. Effects of coexistence on competition were assessed. Vervet food trees were randomly selected, marked and seasonal phenological data collected. Samples of food items constituting the two troops diets were collected for energy analysis. Using geostatistical interpolation techniques, monthly energy values were extrapolated onto home range grids for the two vervet monkey troops. Grids were stored as database files that were interrogated through GIS simulation models. Using the stochastic processes inherent in Markov chain theory, a series of non-returning random walks were simulated for comparison to original routes taken by the two troops. Results from comparisons of home range energy, day range lengths and areas, shortest route energy to actual route energy, time spent in high energy areas, and energy utilisation from actual and randomly generated routes indicated that the two troops optimize resource energy available to them by adopting flexible foraging strategies. In environments where temporal and spatial variations in habitat structure affect the distribution of resources, it is essential that animals develop optimal foraging strategies to survive. For the two troops investigated, foraging strategies fluctuate between being time minimizers in more heterogeneous environments where resources are abundant, and energy maximisers in homogeneous environments where resources are constrained by low diversity and seasonality.<br>Environmental Sciences (Department)<br>D.Litt et Phil (Environmental Management)

abstract: Disparities in access to healthy food are a key public health concern in the United States (U.S.) Food access is considered as a critical element of food insecurity. Food insecurity can often be prevalent in a region due to lack of healthy food outlets as well as inequitable access to healthy food outlets. A large body of literature pertaining to access to healthy food has reported that conventional food outlets such as supermarkets and large grocery stores may not be equitably distributed across different neighborhoods in a region. There has been limited research on local food access patterns. Despite the few studies focused on access to individual types of local food outlets, such as farmers markets, little is known about whether such access varies among different types of local food outlets and how such access patterns compare with the uneven access to conventional food outlets. This study uses Maricopa County, one of the largest counties in Arizona, as a case study to examine the spatial patterns of access to conventional food markets (i.e. supermarkets or large grocery stores) and four different types of local food outlets, including farmers market, community garden, community supported agriculture (CSA) and mobile food markets. By analyzing the association between healthy food access and neighborhood characteristics, the study suggests that the local food system has a great potential in providing healthy food access to low-income and minority populations of the County than conventional food outlets. The study provides important insights into the way different types of local food outlets offer their availability in space and whether they are more equitable in serving underserved neighborhoods. The findings from this study can assist both government agencies and city planner formulate strategies to improve access to healthy food in disadvantaged neighborhoods.<br>Dissertation/Thesis<br>Masters Thesis Urban and Environmental Planning 2020

Knowledge of scale-dependent factors that affect the distribution of ungulate herds, such as cattle, is essential for the development of more accurate predictive models of animal movement and the management of sustainable agriculture. Our objectives were to evaluate the seasonal and diurnal patterns of herd spread, explore grouping dynamics, and the influence of dominance ranks, seasonal changes in forage biomass, use of shade, water and supplemental feed areas on cattle distribution. Positional and activity information of eleven free-ranging Bonsmara, Bos taurus, cows were obtained at five minute intervals using Global Positioning System collars. We conducted a total of 12 trials each of three weeks from August 2007 to August 2009 in a 457ha shrub-dominated savanna in South Texas. Spread was obtained by calculating the average Euclidean distance of individuals to the center of the herd. The association software package, ASSOC1, was used to analyze spatio-temporal interactions. Normalized Difference Vegetation Index, an indicator of available forage biomass, was calculated using satellite imagery. Number of GPS fixes was used as an indicator of animal use of shade patches and water and supplemental feeding areas. In this semi-arid environment, herd spread was greatest and subgroup division occurred during summer when forage biomass was high. Herd spread was the least and shade patches were used more during winter when forage biomass was low. Throughout the year spread was smallest and use of shade patches highest during the midday period compared to other periods of the day. Location of individuals in the center of the herd was not associated with their dominance ranking. There was no significant overall pattern of seasonal changes in cattle use of water and supplemental feeding areas. Seasonal forage availability and shade patches seem to have a greater influence on herd dispersion patterns and grouping dynamics than any effect of social dominance. Herd distribution is likely related to changes in forage biomass and temperature fluctuations which drive compensatory night-time feeding and thermoregulatory actions. Accurate ethological studies of herds depend on our ability to understand herd dynamics at multiple scales that affect and are relevant to animal's response to the landscape.

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies<br>Protest in Europe where analyzed to foster an understanding of the distribution and the behaviour of those during from 2000 to 2010 time frame. The main object of this study is to discover if there is a relation between economic, social and other variables available in Eurostat in order to discover a pattern in the protests in Europe. For this purpose, least squared method and spatial point pattern analysis method were applied in the R Software environment. The final output indicates that variables can’t explain a cause-effect relation of protests due to tis behaviour is complex and Europe is an inhomogeneous area. In the other hand, we saw that protest tend to increase mostly when other protest have happened in the past. Protest location are scattered within the European megalopolis, and reveals attraction to some capitals some hot spots patterns are observed. They are mostly located in urban areas, close to the borders with other European countries. The resulting models discovered that protest/events distributions do not imitate an inhomogeneous Poisson process and thus we tried to model the behaviour describing special interaction between locations of protests. The best interaction model was chosen by computing different distances. We analyzed the whole Europe area and due a strong influence of United Kingdom we computed the same model to Germany, France, United Kingdom and Spain. Finally, a step further spatial-temporal analysis was taken only for Spain. This analysis is one of the first analyses set by the recently launched Global Database of Events, Language, and Tone (GDELT), a big free online data base of over 250m events and 300 categories including riots and protests codified from world news sources. After this analysis we recommend, further analysis should contain models that apply border contagion including time.

British Columbia’s current mountain pine beetle epidemic has led to salvage and mitigation harvesting strategies intended to slow the dispersal of beetles, and recover economic value from infested timber stands. These resulting harvesting strategies will alter the spatial pattern of forest landscapes in impacted regions, often resulting in forest fragmentation. As a result, wildlife habitat, hydrologic regimes, local carbon budgets, and soil dynamics, amoung other ecological properties, are expected to be negatively impacted. Monitoring of forest fragmentation in Canada is now required for the Montreal Process, an international forest monitoring policy. Effective methods that quantify changes in forest fragmentation, the breaking up of forest land cover into smaller, and more numerous parts, are required to meet forest monitoring objectives. This research provides two new methods that build upon existing approaches widely used for quantifying the spatial patterns of landscape features (i.e., landscape pattern indices). The first approach I demonstrate aids the quantification of forest pattern change over two time periods, by accounting for the impact of composition on spatial configuration. The value of this method is demonstrated using a case study that highlights the impacts of forest harvesting, associated with insect salvage and mitigation activities. This method allows landscapes that have changed primarily in composition to be distinguished from those that have experienced large configurational change. In the second approach I use multivariate cluster analysis for regionalization (the grouping of objects in space), and identify regions within a study area where increased fragmentation is observed. Regions delineated based on forest spatial pattern can be linked to underlying processes. Ancillary information (e.g., elevation) can be used to identify areas where observed forest pattern is due to underlying physiological features. Pattern indices (e.g., patch perimeter-area ratio) can be used to distinguish between patterns arising from forest disturbance that is likely natural (e.g., fire) or anthropogenic (e.g., harvest activity) in origin. The methods presented in this thesis may be most appropriate when observed changes in landscape pattern can be attributed to substantial changes in landscape composition.

O Parque Natural da Arrábida (PNA) tem um grande potencial ligado às actividades recreativas, sendo o planeamento e a gestão destas actividades bastante importante para desenvolvimentodesta região. As praias são zonas sensíveis do ponto de vista económico e ambiental, daí a importância em perceber que medidas podem contribuir para uma boa gestão das praias numa área protegida. O presente relatório integrou-se no projecto de investigação em curso no Centro Interdisciplinar de Ciências Sociais da FCSH-NOVA (CICS NOVA), e teve como objetivo estudar a distribuição espácio temporal dos utilizadores das praias doParque Natural da Arrábida, usando como exemplo o caso concreto da praia Portinho da Arrábida. No estudo que aqui se reporta, foi possível estimar o número de utilizadores da praia com base na contagem de uma determinada área num determinado momento, para o dia e para dias diferentes, bem como a estimativa do número máximo de utilizadores da praia, através do apuramento do número de utilizadores no período da manhã. Com a análise dos resultados obtidos é possível a leitura da dinâmica da ocupação da praia, percepcionando os utilizadores sobre o espaço, no transcorrer do tempo, assim como a incidência do espaço/praia sobre os mesmos, permitindo aleitura crítica das percepções e transformações humanas sobre este espaço. O trabalho desenvolvido permitiu determinar padrões de ocupação espácio temporais dos utilizadores, através da contagem dos utilizadores da praia em diferentes dias e horas, possibilitando o desenvolvimento de um método de monitorização que pode ser adaptado noutras praias servindo assim como uma ferramenta útil de apoio ao planeamento do território na gestão baln<br>The ArrábidaNatural Park (ANP) has great potential linked to recreational activities. The planning and management of these activities are very important to the development of this region. From an economical and environmental point of view, beaches are a sensitive place. Thus the importance ofunderstandthe measures that can contribute to a proper management of beaches in protected area. This report is part of a past research project in the Interdisciplinary Center of Social Sciences FCSH-NOVA (CICS NOVA). This project aimed to study the spatiotemporal distribution of the users of the beaches of the ANP. This report analyze the specific case of beach Portinho da Arrábida. In the study here reported, based on counting of a particular area at a particular moment, it was possible to estimate: the number of beach users for the day; and for different days. Based on the counting of users in the morning period it was also possible to estimate the maximum number of beach users. The analysis of the results, allows to read the dynamics of occupation of the beach: perceiving the users in the space; in the course of time; as well as the incidence of space/beach on the users; thus, allowing for critical reading of the perceptions and human transformations over this space. This work enabled to determine patterns of spatio temporal occupation of the users, by counting them on different days and hours. This allowed the development of a method of monitoring that can be adapted to other beaches thus serving as a useful support tool for beach management.