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Journal articles on the topic 'Social spatial patterns'

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1

Short, John R. "Social Systems and Spatial Patterns." Antipode 17, no. 2-3 (1985): 154–59. http://dx.doi.org/10.1111/j.1467-8330.1985.tb00344.x.

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2

Ha, Olivia K., and Martin A. Andresen. "Spatial Patterns of Immigration and Property Crime in Vancouver: A Spatial Point Pattern Test." Canadian Journal of Criminology and Criminal Justice 62, no. 4 (2020): 30–51. http://dx.doi.org/10.3138/cjccj.2020-0041.

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3

Craig, Ailish, Craig W. Hutton, and Justin Sheffield. "Social Capital Typologies and Sustainable Development: Spatial Patterns in the Central and Southern Regions of Malawi." Sustainability 14, no. 15 (2022): 9374. http://dx.doi.org/10.3390/su14159374.

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Bonding, bridging and linking social capital can be a useful mechanism to promote sustainable development in low-income countries. Social capital typologies vary spatially, with the rural poor having a specific combination. Similarly, bonding, bridging and linking social capital’s association with sustainable development is also likely to differ spatially across a country, but there is limited research in low-income countries. This study aims to improve understanding of the spatial variation of bonding, bridging and linking social capital in low-income countries using Malawi as a case study. U
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Zhou, Yunqi, Fengwei Wang, and Shijian Zhou. "The Spatial Patterns of the Crime Rate in London and Its Socio-Economic Influence Factors." Social Sciences 12, no. 6 (2023): 340. http://dx.doi.org/10.3390/socsci12060340.

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This paper analyses the spatial trends and patterns of the crime rates in London and explores how socio-economic characteristics affect crime rates with consideration of the geographic context across London. The 2015 London Crime Statistics and Socio-economic Characteristics datasets were used. First, we investigated the spatial patterns of crime rates through exploratory spatial analysis at the ward level. In addition, both the ordinary least square (OLS) model and geographically weighted regression (GWR) model, which allow the effects of factors to vary in spatial scales, were adopted and co
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OBERHAUSER, ANN M. "SOCIAL AND SPATIAL PATTERNS UNDER FORDISM AND FLEXIBLE ACCUMULATION." Antipode 22, no. 3 (1990): 211–32. http://dx.doi.org/10.1111/j.1467-8330.1990.tb00209.x.

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6

Alvarez-Zuzek, Lucila G., Casey M. Zipfel, and Shweta Bansal. "Spatial clustering in vaccination hesitancy: The role of social influence and social selection." PLOS Computational Biology 18, no. 10 (2022): e1010437. http://dx.doi.org/10.1371/journal.pcbi.1010437.

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The phenomenon of vaccine hesitancy behavior has gained ground over the last three decades, jeopardizing the maintenance of herd immunity. This behavior tends to cluster spatially, creating pockets of unprotected sub-populations that can be hotspots for outbreak emergence. What remains less understood are the social mechanisms that can give rise to spatial clustering in vaccination behavior, particularly at the landscape scale. We focus on the presence of spatial clustering, and aim to mechanistically understand how different social processes can give rise to this phenomenon. In particular, we
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7

Andresen, Martin A., and Nicolas Malleson. "Testing the Stability of Crime Patterns: Implications for Theory and Policy." Journal of Research in Crime and Delinquency 48, no. 1 (2010): 58–82. http://dx.doi.org/10.1177/0022427810384136.

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Recent research in the ‘‘crime at places’’ literature is concerned with smaller units of analysis than conventional spatial criminology. An important issue is whether the spatial patterns observed in conventional spatial criminology focused on neighborhoods remain when the analysis shifts to street segments. In this article, the authors use a new spatial point pattern test that identifies the similarity in spatial point patterns. This test is local in nature such that the output can be mapped showing where differences are present. Using this test, the authors investigate the stability of crime
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Kilian, Lena, Anne Owen, Andy Newing, and Diana Ivanova. "Exploring Transport Consumption-Based Emissions: Spatial Patterns, Social Factors, Well-Being, and Policy Implications." Sustainability 14, no. 19 (2022): 11844. http://dx.doi.org/10.3390/su141911844.

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Recent years have seen an increased interest in demand-side mitigation of greenhouse gas emissions. Despite the oftentimes spatial nature of emissions research, links to social factors and infrastructure are often not analysed geographically. To reach substantial and lasting emission reductions without further disadvantaging vulnerable populations, the design of effective mitigation policies on the local level requires considerations of spatial and social inequalities as well as the context of well-being. Consequently, we explore spatial variations in the links between consumption-based transp
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9

Li, Cheng, Jie Zhao, Nguyen Xuan Thinh, Wenfu Yang, and Zhen Li. "ANALYSIS OF THE SPATIOTEMPORALLY VARYING EFFECTS OF URBAN SPATIAL PATTERNS ON LAND SURFACE TEMPERATURES." Journal of Environmental Engineering and Landscape Management 26, no. 3 (2018): 216–31. http://dx.doi.org/10.3846/jeelm.2018.5378.

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Urban heat islands (UHIs) are a worldwide phenomenon that have many ecological and social consequences. It has become increasingly important to examine the relationships between land surface temperatures (LSTs) and all related factors. This study analyses Landsat data, spatial metrics, and a geographically weighted regression (GWR) model for a case study of Hangzhou, China, to explore the correlation between LST and urban spatial patterns. The LST data were retrieved from Landsat images. Spatial metrics were used to quantify the urban spatial patterns. The effects of the urban spatial patterns
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Aline, Morais. "SPATIAL ANALYSIS ABOUT USERS COLLABORATION ON GEO-SOCIAL NETWORKS IN A BRAZILIAN CITY." International Journal on Web Service Computing (IJWSC) 6, no. 4 (2015): 01–13. https://doi.org/10.5281/zenodo.3715965.

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Geo-Social Networks (GSNs) are collaborative systems that has the geolocated information as main component. The geolocation resource integrates virtual and real worlds, allowing the comprehension about these two scenarios at same time. Based on that, this work define a process of spatial analysis of shared information on a GSN. The present work proposes the usage of six spatial features as feedback about collaborative behaviour on city. The spatial analysis aims understand if users’ collaboration change among city census sectors. Understanding how users deal with GSNs in an area, will he
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11

Smith, Michael E. "Housing in Premodern Cities: Patterns of Social and Spatial Variation." International Journal of Architectural Research: ArchNet-IJAR 8, no. 3 (2014): 207. http://dx.doi.org/10.26687/archnet-ijar.v8i3.448.

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This paper describes a broad comparative perspective on urban housing in cities before the modern era, including the newly-defined category of low-density city. My objective is to promote comparative analysis of premodern urban housing forms. I present a typology of house types that is based on the concepts of dwelling and household. The types are: individual house; house group; contiguous houses; walled compound; and apartment building. Among the many factors that influenced the forms and nature of premodern urban housing, I single out three causal forces: cultural tradition, density, and pol
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12

Broni, S. C. "Social and spatial foraging patterns of the jackass penguinSpheniscus demersns." South African Journal of Zoology 20, no. 4 (1985): 241–45. http://dx.doi.org/10.1080/02541858.1985.11447942.

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13

Branea, Ana-Maria, Marius Gaman, and Stefana Badescu. "Social, Spatial and Legislative Strategy to Shift Urban Mobility Patterns." IOP Conference Series: Materials Science and Engineering 245 (October 2017): 082016. http://dx.doi.org/10.1088/1757-899x/245/8/082016.

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Han, Hagchin, Seongseop (Sam) Kim, and Felix Elvis Otoo. "Spatial movement patterns among intra-destinations using social network analysis." Asia Pacific Journal of Tourism Research 23, no. 8 (2018): 806–22. http://dx.doi.org/10.1080/10941665.2018.1493519.

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15

Sivaramakrishnan, K. "Social Structures and Spatial Alignments of Agrarian Urbanisation." Urbanisation 6, no. 1 (2021): 113–22. http://dx.doi.org/10.1177/24557471211016597.

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Agrarian urbanisation has gathered pace and intensity in the last few decades after economic liberalisation in India. A faster rate of economic growth has exacerbated the extraction of rural natural resources to supply increased urban demands. At the same time, rural landscapes have been transformed by expanded infrastructure, new industrial ventures, conservation projects and urban sprawl. These processes have been mediated by shifting patterns of caste power and political mobilisation. However, they also seem to have exacerbated social inequality while making historically marginalised groups
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Mletzko, Deborah, Lucia Summers, and Ashley N. Arnio. "Spatial patterns of urban sex trafficking." Journal of Criminal Justice 58 (September 2018): 87–96. http://dx.doi.org/10.1016/j.jcrimjus.2018.07.008.

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17

McNaughton, Rod B., and Milford B. Green. "Spatial Patterns of Canadian Venture Capital Investment." Regional Studies 23, no. 1 (1989): 9–18. http://dx.doi.org/10.1080/00343408912331345242.

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18

Bailey, Guy, Tom Wikle, Jan Tillery, and Lori Sand. "Some patterns of linguistic diffusion." Language Variation and Change 5, no. 3 (1993): 359–90. http://dx.doi.org/10.1017/s095439450000154x.

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ABSTRACTAlthough variationists have explored the diffusion of linguistic changes from one social group to another and from one linguistic environment to another in some detail, they have done much less work on the spatial diffusion of changes. In fact, Trudgill's (1974, 1975) use of Hagerstrand's gravity model to explain in hierarchical diffusion of innovations in East Anglia and Norway was the only systematic account of spatial diffusion in the literature. This article uses data from the random sample telephone survey portion of a Survey of Oklahoma Dialects (SOD) to explore the spatial diffu
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19

Bin Asad, Khan Mortuza, and Yihong Yuan. "The Impact of Scale on Extracting Individual Mobility Patterns from Location-Based Social Media." Sensors 24, no. 12 (2024): 3796. http://dx.doi.org/10.3390/s24123796.

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Understanding human movement patterns is crucial for comprehending how a city functions. It is also important for city planners and policymakers to create more efficient plans and policies for urban areas. Traditionally, human movement patterns were analyzed using origin–destination surveys, travel diaries, and other methods. Now, these patterns can be identified from various geospatial big data sources, such as mobile phone data, floating car data, and location-based social media (LBSM) data. These extensive datasets primarily identify individual or collective human movement patterns. However
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20

Lwin, Ko Ko, and Yoshihide Sekimoto. "Mapping the Spatial Distribution Patterns of Personal Time Spent Based on Trip Purpose." International Journal of Applied Geospatial Research 9, no. 2 (2018): 1–13. http://dx.doi.org/10.4018/ijagr.2018040101.

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Understanding the spatial distribution patterns of the time spent by people based on their trip purpose and other social characteristics is important for sustainable urban transport planning, public facility management, socio-economic development, and other types of policy planning. Although personal trip survey data includes travel behavior and other social characteristics, many are lacking in detail regarding the spatial distribution patterns of individual movements based on time spent, typically due to privacy issues and difficulties in converting non-spatial survey data into a spatial form
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21

Arie, Yossef, and Gustavo S. Mesch. "The Spatial and Social Network Dimensions of Mobile Communication." Communication Research 43, no. 5 (2015): 713–34. http://dx.doi.org/10.1177/0093650215573961.

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Studies have shown that ethnic segregation is conducive to social segregation. With the advent of information and communication technologies, mobile communication can support non-local social interactions and reconfigure the network composition of ethnic groups. This study focused on the similarities and differences between ethno-national groups in the structure of their cell phone communications. Data for this study include a sample of 9,099 business customers’ mobile phone calls from an Israeli mobile operator and tested two theoretical explanations. The social stratification approach predic
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22

Wang, Xinrui, Libin Ouyang, Jian Lin, et al. "Spatial Patterns of Urban Green-Blue Spaces and Residents’ Well-Being: The Mediating Effect of Neighborhood Social Cohesion." Land 12, no. 7 (2023): 1454. http://dx.doi.org/10.3390/land12071454.

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Urban green-blue spaces (UGBS) can benefit residents’ well-being through multiple pathways. Previous studies have confirmed that the quantity and composition of UGBS can promote neighborhood social cohesion, which subsequently contributes to residents’ physical and mental health. However, there has been little attention paid to the spatial patterns of UGBS in such relationships. This study adopted landscape pattern indexes to characterize the spatial patterns of UGBS and explored the mediation effect of neighborhood social cohesion between the spatial patterns of UGBS and residents’ well-being
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23

Wang, Xiaoxuan, Peijie Jin, Wen Xiong, and Song Gao. "Mining Highly Visited Co-Location Patterns Based on Minimum Visitor Similarity Constraints." Electronics 12, no. 18 (2023): 3961. http://dx.doi.org/10.3390/electronics12183961.

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Spatial co-location pattern is a subset of spatial features which shows association relationships based on the spatial neighborhoods. Because the previous prevalence measurements of a co-location pattern have not considered the visited information of spatial instances, co-location patterns do not reflect the social connections (such as their spatial instances are constantly visited by common or similar moving objects) between spatial features. In this paper, a special type of co-location pattern, “Highly visited co-location patterns”, is proposed, which considers the spatial proximity and visi
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24

Li, Yuan, and Xin Feng. "Is Poverty Concentrated in Shanghai? Spatial Patterns in Social Housing and Their Implications for Social Equality in Chinese Cities." Sustainability 16, no. 5 (2024): 2009. http://dx.doi.org/10.3390/su16052009.

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It is of general concern how poverty concentrates in cities, due to its close association with social equality issues. This research explores this topic at a citywide level. Spatial data of social housing regarding 2008 to 2020 in Shanghai are utilized to examine how the concentration patterns for low-to-moderate-income groups have changed. Multiple methods including spatial autocorrelation analysis, location quotient (LQ), and Mann–Whitney U test were employed to assess the spatial distribution of, and concentration patterns in, social housing, as well as investigating whether the spatial dis
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25

Kellert, Olga, and Nicholas H. Matlis. "Geolocation of multiple sociolinguistic markers in Buenos Aires." PLOS ONE 17, no. 9 (2022): e0274114. http://dx.doi.org/10.1371/journal.pone.0274114.

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Analysis of language geography is increasingly being used for studying spatial patterns of social dynamics. This trend is fueled by social media platforms such as Twitter which provide access to large amounts of natural language data combined with geolocation and user metadata enabling reconstruction of detailed spatial patterns of language use. Most studies are performed on large spatial scales associated with countries and regions, where language dynamics are often dominated by the effects of geographic and administrative borders. Extending to smaller, urban scales, however, allows visualiza
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Gong, Junfang, Shengwen Li, and Jay Lee. "Space, time, and disease on social media: a case study of dengue fever in China." Geomatica 72, no. 4 (2018): 112–26. http://dx.doi.org/10.1139/geomat-2018-0016.

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It is possible to generate real-time and location-by-location data of many types of human dynamic events based on social media information for the awareness of events in public health. Analyzing these events is useful in understanding spatiotemporal trends and patterns of how diseases spread and also provides indications for users’ sentiment about the concerned disease. This article examines the spatial and temporal patterns of social media posts based on the content, attributes, and follower activities of posts on social media. We describe the spatial features of the topic discussed in the po
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التركي, أفنان عبد الله, та فهد عبد العزيز المطلق. "التحليل المكاني الحضري لأماكن الجذب في مدينة الرياض باستخدام بيانات الشبكات الاجتماعية القائمة على الموقع". International Science and Technology Journal 34, № 1 (2024): 1–21. http://dx.doi.org/10.62341/afss243.

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With the proliferation of technology and the advancement of mobile devices and the internet, the use of Location-Based Social Networks (LBSNs) has become popular in urban communities. That providing a rich source of data for analyzing social and urban behaviour in cities. Which allows for the tracking of urban interaction patterns and human activity to understand visitor behaviour in these places. This paper aims to identify spatial patterns and the distribution the attractions using LBSNs. Density estimation, spatial direction monitoring, and identification of spatial correlation of attractio
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Hiraoka, Takayuki, Takashi Kirimura, and Naoya Fujiwara. "Geospatial analysis of toponyms in geotagged social media posts." PLOS One 20, no. 6 (2025): e0325022. https://doi.org/10.1371/journal.pone.0325022.

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Place names, or toponyms, play an integral role in human representation and communication of geographic space. In particular, how people relate each toponym with particular locations in geographic space should be indicative of their spatial perception. Here, we make use of an extensive dataset of georeferenced social media posts, retrieved from Twitter, to perform a statistical analysis of the geographic distribution of toponyms and uncover the relationship between toponyms and geographic space. We show that the occurrence of toponyms is characterized by spatial inhomogeneity, giving rise to p
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Quintus, Seth, Dolly Autufuga, Stephanie Day, et al. "Tracking Emergent Spatial and Social Patterns across Terraced Landscapes in Polynesia." Journal of Field Archaeology 47, no. 3 (2021): 196–211. http://dx.doi.org/10.1080/00934690.2021.2018259.

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30

Wachowicz, Monica, and Tianyu Liu. "Finding spatial outliers in collective mobility patterns coupled with social ties." International Journal of Geographical Information Science 30, no. 9 (2016): 1806–31. http://dx.doi.org/10.1080/13658816.2016.1144887.

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31

Yao, Jing, Xiaoxiang Zhang, and Alan T. Murray. "Spatial Optimization for Land-use Allocation." International Regional Science Review 41, no. 6 (2017): 579–600. http://dx.doi.org/10.1177/0160017617728551.

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Land-use allocation has long been an important area of research in regional science. Land-use patterns are fundamental to the functions of the biosphere, creating interactions that have substantial impacts on the environment. The spatial arrangement of land uses therefore has implications for activity and travel within a region. Balancing development, economic growth, social interaction, and the protection of the natural environment is at the heart of long-term sustainability. Since land-use patterns are spatially explicit in nature, planning and management necessarily must integrate geographi
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32

Joo, Yoohyung, and Hee Yeon Lee. "Spatial Aspects of Mortality Rates and Neighborhood Environmental Characteristics in Seoul Mega City Region, South Korea." International Journal of Applied Geospatial Research 6, no. 4 (2015): 44–64. http://dx.doi.org/10.4018/ijagr.2015100103.

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This study of the spatial patterns of standardized mortality rates (SMRs) in Seoul Mega City Region (SMCR) explores whether neighborhood characteristics affect mortality rates and identifies important determinants of spatial disparity in mortality rates in SMCR. Spatial patterns of mortality rates show a strong positive spatial autocorrelation, suggesting that mortality rates are spatially clustered. A spatial lag model and a GWR model were used to reflect the spatial aspect of mortality rates. The spatial lag model showed better model fitness by considering spatial dependence of mortality rat
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Romañach, Stephanie S. "Influences of sociality and habitat on African mole-rat burrowing patterns." Canadian Journal of Zoology 83, no. 8 (2005): 1051–58. http://dx.doi.org/10.1139/z05-099.

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The movement choices that animals make are influenced by many factors including resource availability, which in turn can affect whether the animals search for resources alone or in groups. Subterranean rodents are ideal for examining movement paths because they create burrows that persist for extended periods and thus serve as records of movement. African mole-rat species (Bathyergidae) are solitary, social, or eusocial, and inhabit a variety of habitat types. In this study, mole-rat burrowing patterns were examined by analyzing the spatial patterns of the soil mounds that they create as they
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34

McCrea, Rod. "Explaining Sociospatial Patterns in South East Queensland, Australia: Social Homophily versus Structural Homophily." Environment and Planning A: Economy and Space 41, no. 9 (2009): 2201–14. http://dx.doi.org/10.1068/a41300.

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Model simulations of residential segregation have shown that even modest levels of social homophily (or wishing to live near residents with similar social characteristics) gives rise to distinct spatial patterns of residential segregation. However, this proposition has been contested where social homophily is modest. This paper contrasts two explanations for urban sociospatial patterns (socioeconomic and demographic spatial patterns) in a region where social homophily is modest-South East Queensland (SEQ). The research question is whether sociospatial patterns are better explained by social ho
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35

Waldorf, Brigitte. "Spatial Patterns and Processes in a Longitudinal Framework." International Regional Science Review 26, no. 3 (2003): 269–88. http://dx.doi.org/10.1177/0160017603253788.

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36

Lehmann, Robert, and Wolfgang Nagl. "Explaining spatial patterns of foreign employment in Germany." Regional Studies 53, no. 7 (2018): 991–1003. http://dx.doi.org/10.1080/00343404.2018.1515479.

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37

Conley, Timothy G., and Giorgio Topa. "Socio-economic distance and spatial patterns in unemployment." Journal of Applied Econometrics 17, no. 4 (2002): 303–27. http://dx.doi.org/10.1002/jae.670.

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Vaca-Proaño, Verónica Gabriela, Cyntia Paulina López-Rueda, Néstor Andrés Llorca-Vega, and Enrique Ferreras-Cid. "Patrones sociales y espaciales: Estudio comparativo entre dos espacios públicos en la ciudad de Quito, Ecuador." Revista Urbano 26, no. 47 (2023): 96–109. http://dx.doi.org/10.22320/07183607.2023.26.47.08.

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The public space is the ideal scenario to analyze and evaluate the correlation between behavior and morphological conditioning factors in the urban structure. This relationship between the behavior of inhabitants and the spatial configuration is experienced as a social result. From this perspective, the success of urban design is perceived from the capacity it has to reconcile spatial conditions with the alternatives it allows for collective relations, from a close and bidirectional relationship. According to urban studies on morphological approaches, from the second half of the twentieth cent
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Bae, Yujin, Minkyoung Yoon, and Euijune Kim. "Spatial Patterns of Population Growth and Social Indicators' Change in Korea: an Exploratory Spatial Data Analysis." International Journal of Urban Sciences 12, no. 2 (2008): 61–72. http://dx.doi.org/10.1080/12265934.2008.9693631.

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40

Zhang, Shen, Jinjun Tang, Hua Wang, and Yinhai Wang. "Enhancing Traffic Incident Detection by Using Spatial Point Pattern Analysis on Social Media." Transportation Research Record: Journal of the Transportation Research Board 2528, no. 1 (2015): 69–77. http://dx.doi.org/10.3141/2528-08.

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Expedient incident detection and understanding are important in traffic management and control. Social media as important information venues have immense value for increasing an awareness of traffic incidents. In this paper, an attempt is made to assess the potential of using harvested social media for traffic incident detection. Twitter in Seattle, Washington, was chosen as a representative sample environment for this work. A hybrid mechanism based on latent Dirichlet allocation and document clustering was proposed to model incident-level semantic information, while spatial point pattern anal
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Malmberg, B. "Understanding Attraction: Cooperation and Human Intentionality as Determinants of Spatial Interaction and Corporate Location." Environment and Planning A: Economy and Space 28, no. 4 (1996): 651–65. http://dx.doi.org/10.1068/a280651.

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In this paper it is argued that identification and analysis of spatial patterns have an important role to play in the development of materialist social theory. Spatial forms reveal material conditions that govern social processes and, therefore, provide keys to the understanding of how societies work. Two examples are provided. First, it is argued that gravity patterns in spatial interaction are an outcome of human intentionality but that they also show how human actions are controlled by material conditions. Second, it is shown how the spatial structure of multiplant firms reflects the need f
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Li, Xun, and William A. Griffin. "Using ESDA with social weights to analyze spatial and social patterns of preschool children's behavior." Applied Geography 43 (September 2013): 67–80. http://dx.doi.org/10.1016/j.apgeog.2013.06.003.

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43

Pratama, Yusuf Vladimir, Damayanti Asikin, and Antariksa. "Spatial Configuration and Social Integration in the Residential Area of Benteng Keraton Buton." Review of Urbanism and Architectural Studies 23, no. 1 (2025): 70–79. https://doi.org/10.21776/ub.ruas.2025.023.01.7.

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The complexity of settlements is shaped by the diversity of user activities and the intensity of social interactions, both of which are influenced by accessibility and spatial configuration. Connectivity systems play a crucial role in linking shared spaces and public services, thereby supporting social and economic activities. This study aims to evaluate the efficiency of spatial configuration patterns in Benteng Keraton Buton using the space syntax method, combined with Geographic Information System (GIS) overlays. Space syntax analysis is employed to assess accessibility based on three key v
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Tian, Bin, Bin Meng, Juan Wang, et al. "Spatio-Temporal Patterns of Fitness Behavior in Beijing Based on Social Media Data." Sustainability 14, no. 7 (2022): 4106. http://dx.doi.org/10.3390/su14074106.

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Fitness is an important way to ensure the health of the population, and it is important to actively understand fitness behavior. Although social media Weibo data (the Chinese Tweeter) can provide multidimensional information in terms of objectivity and generalizability, there is still more latent potential to tap. Based on Sina Weibo social media data in the year 2017, this study was conducted to explore the spatial and temporal patterns of urban residents’ different fitness behaviors and related influencing factors within the Fifth Ring Road of Beijing. FastAI, LDA, geodetector technology, an
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Yoon, Sunwoong, and Kyusang Kwon. "Spatial Distribution and Influencing Factors of Single-Person Households with Social Isolation in Seoul, South Korea." Sustainability 16, no. 3 (2024): 1280. http://dx.doi.org/10.3390/su16031280.

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Previous studies on social isolation and quality of life in single-person households (SPHs) faced limitations in identifying socially isolated groups in a citywide and detailed spatial range. The emergence of big data from various sources offers new possibilities for studying the relationship between SPHs and social isolation. This study examined the spatial distribution of SPHs at high risk of social isolation by age group and the influencing factors for Seoul, South Korea, using Seoul Citizen Life Data. Local indicators of spatial association clustering and spatial econometric models were us
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Stockett, Miranda K. "Approaching Social Practice through Access Analysis at Las Canoas, Honduras." Latin American Antiquity 16, no. 4 (2005): 385–407. http://dx.doi.org/10.2307/30042506.

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AbstractIdentifying patterns in the organization of spaces, and in the ways past peoples may have moved through those spaces, can provide insights into daily practice, group interaction, and social control in community life. To identify such patterns, a modified version of access analysis is applied to the densely settled Late Classic (A.D. 650–960) site of Las Canoas, northwest Honduras. The usefulness of this spatial diagramming technique to illuminate patterns of potential significance to the past architects and occupants of this site will be critically assessed. In particular, access analy
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Townsley, Michael, Ross Homel, and Janet Chaseling. "Repeat Burglary Victimisation: Spatial and Temporal Patterns." Australian & New Zealand Journal of Criminology 33, no. 1 (2000): 37–63. http://dx.doi.org/10.1177/000486580003300104.

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To date there has been little Australian research on repeat victimisation. This is a study of repeat burglary in an area of Brisbane using police calls for service data. We demonstrate: (a) the prevalence of residential repeat victim addresses (‘hot dot’) is of a similar magnitude to that found in studies in the United Kingdom; (b) the time distributions of revictimisation are identical with those found in studies in the UK and elsewhere; (c) ‘hot spots’ (small areas with high crime density) can be identified by statistical analyses of spatial concentrations of incidents; (d) unstable hot spot
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Hong, Seong-Yun, Seonggook Moon, Sang-Hyun Chi, Yoon-Jae Cho, and Jeon-Young Kang. "Local Sparse Principal Component Analysis for Exploring the Spatial Distribution of Social Infrastructure." Land 11, no. 11 (2022): 2034. http://dx.doi.org/10.3390/land11112034.

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The primary purpose of this study is to develop a method that can assist in exploring infrastructure-related multidimensional data. The spatial distribution of social infrastructure, including housing and service facilities, is usually uneven across a nation. The underlying reasons behind the spatial configuration of infrastructure vary, and its comprehensive examination is crucial to understanding the true implications of their skewed distribution. However, simultaneous examination of all social infrastructure is not always straightforward due to the volume of data. The presence of strong cor
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BAYLES, B. R., and B. F. ALLAN. "Social-ecological factors determine spatial variation in human incidence of tick-borne ehrlichiosis." Epidemiology and Infection 142, no. 9 (2013): 1911–24. http://dx.doi.org/10.1017/s0950268813002951.

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SUMMARYThe spatial distribution of human cases of tick-borne diseases is probably determined by a combination of biological and socioeconomic factors. A zoonotic tick-borne pathogen, Ehrlichia chaffeensis, is increasing in human incidence in the USA. In this study, the spatial patterns of probable and confirmed E. chaffeensis-associated cases of ehrlichiosis from 2000 to 2011 were investigated at the zip-code level in Missouri. We applied spatial statistics, including global and local regression models, to investigate the biological and socioeconomic factors associated with human incidence. Ou
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Shcherbyna, Viktor. "Sociocultural aspects of spatial development." Sociology: Theory, Methods, Marketing, no. 3 (October 2023): 152–65. http://dx.doi.org/10.15407/sociology2023.03.152.

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Spatial development is one of the factors in the formation of society, and the policy of conscious spatial development is the most important component of transitions to new technological and sociocultural ways of life. The article deals with the problem of theoretical understanding of spatial development, as well as the author’s concept of its study and approach to the formation of relevant policies. The author proposes distinguishing between “developed” societies, capable of purposefully shaping their own space, and “undeveloped” ones, capable only of adapting to spontaneous changes in their
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