Academic literature on the topic 'Social spatial patterns'
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Journal articles on the topic "Social spatial patterns"
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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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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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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. Using secondary data and spatial statistics, including kriging and geographically weighted regression, we explore the spatial variation of social capital typologies and their spatial associations with various sustainable development indicators. There were three key combinations of bonding, bridging and linking social capital, which differ from the standard model of social capital typologies for the rural poor. We also found social capital’s association with sustainable development indicators depends on the social capital typology, study area and the sustainable development indicator in question. With this in mind, development practitioners, researchers and policymakers should aim to understand the specific social capital context prior to sustainable development research or project implementation.
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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 compared to explore the potential spatially varying effect across London. The results showed that there exists obvious spatial clustering for the crime rate in central London. Both global and local Moran’s I values indicated the spatial dependence of crime at the ward level. The GWR model performed better in explaining crime rates than the OLS model. Only two factors, namely, the percentage of children aged from 0 to 15 and employment rates, had significant spatial variability in London. The influences of the percentage of children aged 0 to 15 on crime rates are constantly negative over a spatial scale; however, employment rates positively affect crime rates in the north-western areas near the centre of London. Therefore, this paper focuses more on the spatial perspective, which fills the gap in traditional crime analysis, especially on the spatially varying influence of socio-economic status.
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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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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 propose two hypotheses to explain the presence of spatial clustering: (i) social selection, in which vaccine-hesitant individuals share socio-demographic traits, and clustering of these traits generates spatial clustering in vaccine hesitancy; and (ii) social influence, in which hesitant behavior is contagious and spreads through neighboring societies, leading to hesitant clusters. Adopting a theoretical spatial network approach, we explore the role of these two processes in generating patterns of spatial clustering in vaccination behaviors under a range of spatial structures. We find that both processes are independently capable of generating spatial clustering, and the more spatially structured the social dynamics in a society are, the higher spatial clustering in vaccine-hesitant behavior it realizes. Together, we demonstrate that these processes result in unique spatial configurations of hesitant clusters, and we validate our models of both processes with fine-grain empirical data on vaccine hesitancy, social determinants, and social connectivity in the US. Finally, we propose, and evaluate the effectiveness of two novel intervention strategies to diminish hesitant behavior. Our generative modeling approach informed by unique empirical data provides insights on the role of complex social processes in driving spatial heterogeneity in vaccine hesitancy.
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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 patterns moving from census tracts to dissemination areas to street segments. The authors find that general crime patterns are somewhat similar at all spatial scales, but finer scales of analysis reveal significant variations within larger units. This result demonstrates the importance of analyzing crime patterns at small scales and has important implications for further theoretical development and policy implementation.
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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 transport emissions with infrastructural factors, such as workplace distance and public transport density, and with risk-factors of transport poverty, including income, age, ethnicity, mobility constraints in London. We find that linear models report significant spatial autocorrelation at p ≤ 0.01 in their model residuals, indicating spatial dependency. Using geographically weighted regression models improves model fits by an adjusted R2 value of 9–70% compared to linear models. Here, modelling flight emissions generally sees the lowest improvements, while those models modelling emissions from cars and vans see the highest improvements in model fit. We conclude that using geographically weighted regression to assess the links between social factors and emissions offers insights which global, linear models overlook. Moreover, this type of analysis enables an assessment of where, spatially, different types of policy interventions may be most effective in reducing not only emissions, but transport poverty risks. Patterns of spatial heterogeneity and policy implications of this research are discussed.
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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 on LSTs were further investigated using Pearson correlation analysis and a GWR model, both at three spatial scales. The results show that the LST patterns have changed significantly, which can be explained by the concurrent changes in urban spatial patterns. The correlation coefficients between the spatial metrics and LSTs decrease as the spatial scale increases. The GWR model performs better than an ordinary least squares analysis in exploring the relationship of LSTs and urban spatial patterns, which is indicated by the higher adjusted R2 values, lower corrected Akaike information criterion and reduced spatial autocorrelations. The GWR model results indicate that the effects of urban spatial patterns on LSTs are spatiotemporally variable. Moreover, their effects vary spatially with the use of different spatial scales. The findings of this study can aid in sustainable urban planning and the mitigation the UHI effect.
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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 help about collaborative patterns per urban region. As result, this work detected spatial patterns among users in the GSN Foursquare of a Brazilian city. These patterns indicates that users’ collaboration receive influences of extrinsic and intrinsic features of GSN and the comprehension about their users is a complex task.
Dissertations / Theses on the topic "Social spatial patterns"
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Drapac, Brittany E. "DeCONstruct: Patterns in Social/Spatial Interruption." Miami University Honors Theses / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=muhonors1209156745.
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Legeby, Ann. "Patterns of co-presence : Spatial configuration and social segregation." Doctoral thesis, KTH, Stadsbyggnad, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133678.
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This thesis notes that there is a lack of systematic research investigating segregation patterns based on how public space is used and frequented by citizens. In order for understanding of urban segregation to reach beyond residential segregation, the extent to which public space facilitates co-presence between social groups is a key issue. The main concern in this thesis is to arrive at a deeper understanding of the critical role urban form plays in terms of co-presence in public space and in extension for social segregation. The argument builds on knowledge from other fields, arguing that co-presence is of utmost importance for societal processes: by sharing space and being co-present with others, which does not necessarily imply focused interaction, we gain information and knowledge from our fellow citizens and participate in processes that negotiate social structures, acceptable behaviours and identities. The sharing of space thus becomes a central part of ‘being in society’. It is furthermore through public space that material urban resources are accessible, an access that is dependent on both the location of the amenities in space but also the distribution of space, as structured and shaped by urban form, which creates the actual experience of access through space. Segregation is primarily defined as a social problem. However, in this thesis, it is made clear that it is also a spatial problem. While also broadening the conceptualisation of segregation, the main focus has been upon the role of the built environment. The socio-spatial link builds on social theories. However, these theories are weak when it comes to explaining where co-presence occurs. Addressing the spatial side of the problem, the thesis primarily builds on the architectural theory of space syntax that exactly aims to study the space-society relationship from the viewpoint of space and provides empirical evidence for the correspondence between urban form – as it is shaped by urban design and architecture – and the creation of co-presence as well as variations in its intensity and its constitution. In addition, key questions such as what people may have access to ‘just around the corner’ in terms of human resources or other urban amenities are elaborated. The distinct variations found between neighbourhoods are argued both to enrich the discussion on social exclusion and unequal living conditions and inform future urban planning and design. The thesis demonstrates that specific configurational properties have great impact on the pattern of co-presence. More specifically, it is found that a segregation of public space, a limited spatial reach and an uneven distribution of spatial centrality appears not to favour an exchange between neighbourhoods or access to urban resources across the city – findings that are highly critical for the urban segregation issue. Detailed configurational analysis of Stockholm reveals the performative aspects of different urban layouts related not only to local circumstances and character but, more importantly, to the further context of such layouts. Increased knowledge of how spatial configuration relates to social practices offers new insight into how different neighbourhoods and urban layouts perform socially and increases understanding of the social implications of spatial configuration. The findings of this study are argued to open up theoretical developments that address the social and political dimension of urban design with greater precision. Not least, this knowledge can influence public debate. The knowledge produced can furthermore be used in urban design practice and anti-segregation initiatives, identifying whether spatial interventions can make a contribution and if so, what physical interventions respond to the social ends in question, where the ultimate aim is an urban design that not only builds cities but societies too.<br><p>QC 20131108</p>
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Liu, Haijing M. C. P. Massachusetts Institute of Technology. "Collective innovation spaces in Shanghai : spatial patterns and social life/." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118244.
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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 69-73).<br>In 2014, the Chinese central government began an initiative - "mass innovation and entrepreneurship" - as its new strategy of economic development. Collective innovation spaces were promoted as the physical manifestation to fuel this economic development strategy. As a result, the establishment of collective innovation spaces has since received significant funding from both the public and the private sector. The number of collective innovation spaces has grown exponentially over the years. With this significant growth rate, collective innovation spaces have started to exhibit a distinctive spatial pattern and made an impact on urban life. However, few systematic studies have been carried out to understand this spatial pattern and the mechanisms behind it. This thesis takes Shanghai as the study site. Using statistical model and spatial analysis, the study identifies several clusters of collective innovation spaces (CIS) in Shanghai as well as their spatial characteristics. It demonstrates that rental housing units, IT companies, universities, restaurants, bars and coffee shops have a positive relationship with CIS clusters. However, housing developments and parks have a negative relationship with CIS clusters. Development of CIS and the thriving third places, which are privatized social spaces other than home and workspaces, generate an innovation network that facilitates social interactions, innovation, and entrepreneurship. It represents a new kind of urban development in China, integrating, connecting and preserving the existing urban fabric. Furthermore, by investigating in two case studies in Shanghai, the thesis gives policy and design suggestions on the development of CIS clusters. Keywords: Collective innovation spaces; cluster; urban development; Shanghai.<br>by Haijing Liu.<br>M.C.P.
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TOSO, STEFANIA. "SECOND HOME TOURISM IN RURAL ITALY. Spatial patterns and social practices towards community resilience." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2023. https://hdl.handle.net/10281/404658.
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Il progetto di ricerca indaga il fenomeno del turismo di seconda casa nelle aree rurali e interne italiane, attraverso l'analisi dei modelli spaziali e delle pratiche sociali relative ai proprietari di seconda casa nella Provincia di Asti, scelta come caso di studio che negli ultimi decenni ha visto un aumento esponenziale della percentuale di case vuote abitate da non residenti. Il quadro teorico scelto per lo sviluppo dell'indagine si basa sui concetti di attaccamento al luogo e di resilienza della comunità; la domanda al centro della ricerca ruota attorno ai modi in cui i diversi processi di attaccamento al luogo possono svolgere un ruolo attivo nella costruzione di comunità rurali resilienti. Attraverso l'applicazione del processo di ricerca qualitativa iterativa (Gaudet e Robert, 2018) e secondo una metodologia mista, sono stati analizzati dati quantitativi (ISTAT, Comuni di riferimento, database degli acquedotti) e dati qualitativi (57 interviste in profondità semi-strutturate all'interno dei confini provinciali con proprietari di seconde case, amministratori locali, agenti immobiliari, rappresentanti di associazioni no-profit ed enti rappresentativi del territorio e, infine, abitanti della comunità locale; articoli di giornale; materiale fotografico prodotto dal ricercatore e fornito dai partecipanti alle interviste).
L'analisi ha tracciato lo sviluppo spaziale del fenomeno delle seconde case e ha portato all'identificazione di specifiche pratiche sociali e culturali condotte dagli abitanti delle seconde case che stanno contribuendo ai processi di rinnovamento, rivitalizzazione e adattamento delle comunità rurali astigiane, nel tentativo di contribuire attivamente alla rigenerazione di alcuni villaggi rurali.
La ricerca mostra come il contributo degli utenti di seconde case in contesti marginali possa essere significativo e stimolante nel rapporto con gli abitanti permanenti, un confronto talvolta segnato dal cambiamento, talvolta dalla resistenza.<br>The research project investigates the phenomenon of second-home tourism in the Italian rural and inner areas, through the analysis of spatial patterns and social practices related to second-home owners in the Province of Asti, chosen as a case study that in the last decades has seen an exponential increase in the percentage of empty houses inhabited by non-residents. The theoretical framework chosen for the development of the investigation is based on the concepts of place attachment and community resilience; the question at the centre of the research revolves around the ways in which different place attachment processes can play an active role in the construction of resilient rural communities. Through the application of the iterative qualitative research process (Gaudet and Robert, 2018) and according to a mixed methodology, quantitative data (ISTAT, reference municipalities, aqueduct databases) and qualitative data (57 semi-structured in-depth interviews within the provincial boundaries with second-home owners, local administrators, real estate agents, representatives of non-profit associations and representative bodies of the territory and, finally, local community inhabitants; newspaper articles; photographic material produced by the researcher and provided by the interview participants) were analysed.
The analysis traced the spatial development of the phenomenon of second homes and led to the identification of specific social and cultural practices led by second-home dwellers that are contributing to processes of renewal, revitalisation and adaptation of Asti's rural communities in an attempt to contribute to the regeneration of some rural villages actively.
The research shows how the contribution of second home users in marginal contexts can be significant and stimulating in the relationship with permanent inhabitants, a confrontation sometimes marked by change, sometimes by resistance.
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Chu, Cheuk-hung Sid, and 朱卓雄. "The implications of spatial and social structures for time patterns ofpedestrian movements in urban streets." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37920844.
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Chu, Cheuk-hung Sid. "The implications of spatial and social structures for time patterns of pedestrian movements in urban streets." View the Table of Contents & Abstract, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36749357.
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Ahmed, Saleh. "Spatial Patterns of Rural and Exurban Residential Settlement and Agricultural Trends in the Intermountain West." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4230.
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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.
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Koparal, Elif. "Urbanization Process And Spatial Organization In Klazomenian Khora From Early Iron Age To Roman Period." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613720/index.pdf.
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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-Ç<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.
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Bergsten, Arvid. "Spatial complexity and fit between ecology and management : Making sense of patterns in fragmented landscapes." Doctoral thesis, Stockholms universitet, Stockholm Resilience Centre, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-97618.
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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>
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Ruckthongsook, Warangkana. "The Influence of Disease Mapping Methods on Spatial Patterns and Neighborhood Characteristics for Health Risk." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062838/.
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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.
Books on the topic "Social spatial patterns"
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Evan, Levy Thomas, ed. Spatial boundaries and social dynamics: Case studies from food-producing societies. International Monographs in Prehistory, 1993.
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Stone, Glenn Davis. Settlement ecology: The social and spatial organization of Kofyar agriculture. University of Arizona Press, 1996.
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Setola, Nicoletta, ed. Research tools for design. Spatial layout and patterns of users' behaviour. Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6655-027-3.
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The publication proposes a critical reading of the results emerging from the Seminar organised in January 2010 by the Department of Architectural and Design Technology on research tools for the architectural project. The spatial layout of buildings and urban spaces influences behaviour and the relations of the users, and in this displays the social nature of the architectural function in comparison to other spheres of design. Space Syntax (theory, methodology and techniques for the analysis of complex systems) takes this theory as the basis for its research. The seminar, attended by leading academic and professional figures, offered the opportunity for exchange between its own research and the experiences carried forward by the Space Syntax research and consultancy group.
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Vietnam. Inter-Ministerial Poverty Mapping Task Force. Poverty and inequality in Vietnam: Spatial patterns and geographic determinants = Đói nghèo và Bất đẳng ở Việt Nam : các yếu tố về khí hậu nông nghiệp và không gian. International Food Policy Research Institute, 2003.
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1956-, Sangwan Randhir Singh, ed. Rural--urban divide: Changing spatial pattern of social variables. Concept Pub. Co., 2003.
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Akorede, V. E. A. Pattern of spatial interaction among culturally distinct urban communities: The Modakeke in Ife Region. Stebak Books, 1997.
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Lindner, Christoph, and Gerard Sandoval, eds. Aesthetics of Gentrification. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463722032.
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Gentrification is reshaping cities worldwide, resulting in seductive spaces and exclusive communities that aspire to innovation, creativity, sustainability, and technological sophistication. Gentrification is also contributing to growing social-spatial division and urban inequality and precarity. In a time of escalating housing crisis, unaffordable cities, and racial tension, scholars speak of eco-gentrification, techno-gentrification, super-gentrification, and planetary gentrification to describe the different forms and scales of involuntary displacement occurring in vulnerable communities in response to current patterns of development and the hype-driven discourses of the creative city, smart city, millennial city, and sustainable city. In this context, how do contemporary creative practices in art, architecture, and related fields help to produce or resist gentrification? What does gentrification look and feel like in specific sites and communities around the globe, and how is that appearance or feeling implicated in promoting stylized renewal to a privileged public? In what ways do the aesthetics of gentrification express contested conditions of migration and mobility? Addressing these questions, this book examines the relationship between aesthetics and gentrification in contemporary cities from multiple, comparative, global, and transnational perspectives.
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Geography for Kids - Patterns, Location and Interrelationships - the World in Spatial Terms - 3rd Grade Social Studies. Speedy Publishing LLC, 2017.
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Geography for Kids - Patterns, Location and Interrelationships the World in Spatial Terms 3rd Grade Social Studies. Speedy Publishing LLC, 2017.
Find full textBook chapters on the topic "Social spatial patterns"
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Minoli, Ignacio, Cristian Hernán Fulvio Pérez, Mariana Morando, and Luciano J. Avila. "Biogeography, Ecology, and Spatial Patterns of Patagonian Lizards." In Natural and Social Sciences of Patagonia. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42752-8_8.
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Van Steensel, Arie. "Measuring urban inequalities. Spatial patterns of service access in sixteenth-century Leiden." In Disuguaglianza economica nelle società preindustriali: cause ed effetti / Economic inequality in pre-industrial societies: causes and effect. Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-053-5.24.
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This contribution develops a broader understanding of well-being in premodern towns and by using digital methods to map social and economic inequalities, thereby drawing on insights from research on socio-spatial equity from urban studies. The key questions are how socio-economic inequality was reflected in the urban social topography and to what extent these spatial patterns reproduced inequality. Taking sixteenth-century Leiden as a case study, the spatial patterns of economic inequality and social segregation in this town are first examined. Next, the level of location-based inequality is explored by mapping and calculating urban spatial patterns of service accessibility.
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Jin, Peijie, Xiaoxuan Wang, Wen Xiong, Lizhen Wang, and Song Gao. "Extracting Spatial High Utility Co-location Patterns Based on Fuzzy Feature Clusters." In Big Data and Social Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-5803-6_13.
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Turok, Ivan, Justin Visagie, and Andreas Scheba. "Social Inequality and Spatial Segregation in Cape Town." In The Urban Book Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64569-4_4.
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AbstractCape Town is widely considered to be South Africa’s most segregated city. The chapter outlines the history of social stratification and spatial segregation, including the coercion of colonial and apartheid governments to divide the population by race. Since 1994, the democratic government has lacked the same resolve and capacity to reverse this legacy and integrate the city. The chapter also analyses the changing socio-economic and residential patterns between 2001 and 2011 in more detail. It shows that the extent of segregation diminished between 2001 and 2011, contrary to expectations. It appears that affluent neighbourhoods became slightly more mixed and people in high-status occupations spread into surrounding areas. Some low-income neighbourhoods also became slightly more mixed by accommodating middle class residents. Further research is required to verify and explain these findings.
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Kabanov, Yury, and Anna Kuzmenko. "Spatial and Temporal Patterns of Government – Citizen Interaction Online. Examining the Social Media Pages of the Russian Regional Authorities." In Social Computing and Social Media. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61312-8_8.
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Wang, Xiaoxu, Lizhen Wang, Jialong Wang, Yudi Yang, and Yingli Zheng. "SCPM-R+ER: A R+ER-based Algorithm for Mining Spatial Co-location Patterns." In Big Data and Social Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-5803-6_12.
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Piekut, Aneta. "Re-Theorising Spatial Segregation: A European Perspective." In The Urban Book Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74544-8_2.
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AbstractResearch on segregation is traditionally associated with studies on residential segregation and the patterns of spatial clustering of minority ethnic groups or residents with immigrant backgrounds. This chapter examines European research on spatial segregation through various social science disciplines, including urban studies, sociology, psychology, spatial and human geography. It presents the range of theoretical approaches employed to explain why people who belong, or are perceived to belong, to dissimilar social categories or to hold different identities become spatially separated from each other, and ways in which this may change. Factors that influence segregation are interrelated. A holistic, interdisciplinary approach to spatial segregation is, therefore, essential to understand such mechanisms and then design policies to counter any negative impacts of segregation. Individual and group experiences are shaped by varied contexts, whether residential, work, leisure, transport and daily encounters. This chapter examines approaches to spatial segregation from a variety of disciplinary perspectives and indicates possible directions for future research.
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Hamstead, Zoé A., and Jason Sauer. "Mapping Vulnerability to Weather Extremes: Heat and Flood Assessment Approaches." In Resilient Urban Futures. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63131-4_4.
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AbstractAssessing present social and biophysical conditions of communities that are at risk of injury due to extreme weather events is an important component of creating future visions of resilience. Spatial patterns of vulnerability to extreme events are manifestations of structural injustice that leave their mark on the built environment and in socio-spatial segregation patterns. Socio-spatial inequity often arises from development practices that favor particular racial and ethnic social groups over others. These segregation patterns are aligned with patterns of exposure to pollution, extreme weather events, and other types of environmental hazards. Spatial vulnerability assessments can be powerful tools for prioritizing where and how cities should make investments for mitigating the impacts of extreme events, and can provide an entry point for asking more fundamental questions about the processes that produce patterns of climate inequity, as well as how to avoid reproducing such processes in the future. Maps express uneven distributions of risk and manifestations of structural inequality in social–ecological–technological systems (SETS). They enable communities to visualize distributional injustice, consider ways in distributions that may be misaligned with cultural values, and develop adaptive practices toward climate justice. Here, we demonstrate approaches for assessing vulnerability to extreme flooding and heat, and show how vulnerability distributions are embedded in landscape patterns that produce uneven risk.
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Pan, Zhuolin, Ye Liu, Yang Xiao, and Zhigang Li. "Social Polarization and Socioeconomic Segregation in Shanghai, China: Evidence from 2000 and 2010 Censuses." In The Urban Book Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64569-4_9.
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AbstractChina’s rapid economic growth since the early 1980s has been accompanied by a substantial increase in economic inequality. Economic restructuring, rural–urban migration, globalization and marketization have jointly led to a transformation of the socio-spatial structure of large Chinese cities. Although a handful of studies have examined the level and pattern of socioeconomic segregation in a particular Chinese city using neighbourhood-level census data from the year 2000, little research has been done to investigate in-depth changes in the level and pattern of segregation using more up to date and more geographically detailed data. This chapter aims to examine the levels, patterns and drivers of socioeconomic segregation in Shanghai, China, using neighbourhood-level and subdistrict-level data from the 2000 and 2010 decennial population census. This chapter uses the dissimilarity index to measure the overall level of socioeconomic segregation by occupation and household registration (hukou) status. Based on a location quotient and neighbourhood composition, it also illustrates the change in the spatial pattern of segregation. The chapter ends with a discussion on the possible drivers of segregation and policy suggestions to combat segregation in large Chinese cities.
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Mattioli, Giulio, Marco Dugato, and Ian Philips. "Vulnerability to Motor Fuel Price Increases: Socio-Spatial Patterns in Italy." In Studies in Energy, Resource and Environmental Economics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35684-1_5.
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AbstractEnvironmental taxes and oil market fluctuations can increase road fuel prices significantly and are likely to play a big role in the future. This raises social justice issues, as some low-income households rely on cars for access to services and opportunities but struggle to afford related expenses. The impacts of fuel price increases are unevenly spatially distributed, as shown by transport, planning and urban research. We investigate spatial patterns of vulnerability to fuel price increases in Italy, a country where the problem is particularly pronounced due to high motorisation rate relative to income, and high fuel prices. We define vulnerability as the combination of high exposure (high car use), high sensitivity (low income) and low adaptive capacity (high car dependence). Based on municipality-level data on motorisation and the journey to work from the 2011 Italian Census and official income tax revenue data for 2012 (as a proxy for income) we derive a composite indicator of vulnerability. The results show: i) a co-location of low-income and high car use on the periphery of many Italian city regions; ii) stark interregional differences, with lower income levels in the South driving high levels of vulnerability, despite lower levels of car ownership and use.
Conference papers on the topic "Social spatial patterns"
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Souza, Roberto C. S. N. P. "Spatial Cluster Detection with Social Media Mobility Patterns." In SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2019. http://dx.doi.org/10.1145/3347146.3363465.
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Chinthaka, K. W. C. J., W. Senaarachchige, and M. Mendis. "Evaluation of user behavioral patterns responding to internal social spaces of elderly care resorts." In Spatial Dynamics: Envisioning tomorrow’s Design through Advanced Practices. Faculty of Architecture Research Unit, 2024. https://doi.org/10.31705/faru.2024.11.
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This study investigates user behavioral patterns in the internal social spaces of elderly care resorts in Sri Lanka, contrasting them with the more common concept of elderly homes. Focusing on the local elderly community who reside in these resorts, the research explores how interior design and architecture impact their behavior and activities. Through case studies on three major elderly care resorts in Colombo, the study examines how elements like spatial arrangements, furniture placement, color psychology, and wayfinding methods contribute to the physical and mental well-being of elderly users. The research highlights the potential differences in responses between educated older individuals and other user groups, emphasizing the importance of designing spaces that cater to the diverse needs and preferences of the elderly. By identifying key elements that influence user perception and behavior, this study aims to contribute valuable insights for designers in creating more effective and accommodating spaces for elderly residents.
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Kelman, Guy, Eran Manes, Marco Lamieri, and David Bree. "Unusual Spatial Patterns of Industrial Firm Locations Uncover their Social Interactions." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2017. http://dx.doi.org/10.24251/hicss.2017.213.
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Guerrero Balarezo, Maria Laura, and Kayvan Karimi. "Urban Art and place. Spatial patterns of urban art and their contribution to urban regeneration." In 24th ISUF 2017 - City and Territory in the Globalization Age. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/isuf2017.2017.6069.
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Cities face several challenges regarding public space and urban regeneration. Some of them are the depersonalization and lack of interest of citizens in their own city, privatization, gentrification, technologization and gender-insecurity. Public spaces lose their character as articulator and generator of human relations, while neighborhoods lose their role as the basic unity of community and urban identity. Nowadays, many bottom-up strategies have arisen as expressions of neighborhood’s inhabitant’s will, producing cultural diversity and civic engagement, with a placemaking effect. Urban art is one of them. Social and economic products of urban art have been studied, but the spatial manifestation and impact have been largely absent from the discourse of urban morphology. Spatial conditions are representational of social practices like art, by structuring patterns of movement, encounter and separation in the city (Cartiere &amp; Zebracki, 2016). This study aims to discover the spatial relation between urban art displays and the network of public spaces, and whether this pattern has a role in neighborhood regeneration. To identify these relations in Shoreditch, London, Space Syntax analysis and spatial clustering were used, combined with a survey of geographically located public urban art (extracted from social networks data). Also, the spatial patterns of land prices and land uses from 1995 to 2016 were examined. Research showed that various types of artwork have a strong relation with certain spatial network characteristics and visibility of locations from each other. Economic and use outcomes were also related to the development of the art pattern through the years.
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Sánchez Flores, Erick, Elvira Maycotte Pansza, and Javier Chávez. "Spatial patterns of social mobility perception derived from access to social housing in a Mexican border city." In Virtual City and Territory. Centre de Política de Sòl i Valoracions, 2016. http://dx.doi.org/10.5821/ctv.8158.
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Homeownership has become a crucial element in constructing and confirming social position in western societies. Housing can be an effective social mobility strategy. In the societies of developing countries, however, the potentially positive effects of homeownership might be hindered by financial conditions and quality of housing to which large population sectors can have access. Taking into account the main implications of housing access for social welfare and the unwanted effects produced by national housing policy in Mexico, due to the distortions of the housing and land markets, is necessary to assess if such a policy has produced the desired positive effects in terms of social mobility and if those are being perceived so by the beneficiary population. Thus, the objective of this study is to assess the perception of social mobility derived from the access to social housing in Ciudad Juárez, Chihuahua from 2002 to 2010. For this purpose, we derive and represent spatially three indices of households social mobility perception related to dwelling quality, complex location and urban environment, and housing ownership advantages of their current housing in comparison with their previous or parents´ homes. In general, we found that households have a perception of social descent derived from the quality of their new dwelling units; an even more pronounced perception of social descent with respect to the complex location and urban environment conditions; and a regular perception of social ascent with regards to the housing ownership advantages. These results indicate that the supposedly positive social effects of the national housing policy in Ciudad Juárez have not been fully deployed or at least perceived by the intended beneficiaries. This requires a review of the basic definitions of the policy and to emphasize the social character of housing provision in order to promote the conditions for ascending social mobility.
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Iranmanesh, Aminreza, and Resmiye Alpar Atun. "Exploring Patterns of Socio-spatial Interaction in the Public Spaces of City through Big Data." In 24th ISUF 2017 - City and Territory in the Globalization Age. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/isuf2017.2017.5254.
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Research on socio-spatial aspect of cities has never been so vibrant and exciting. The form of urban life is changing and evolving with new advancements in communication and technology. Digital communication and social media has reshaped the way people as the actors of society interact with each other and with the network of city. New social networks and widespread of mobile devises can be used to create and reinforce existing social ties. Mobile devises also change the role of citizens from consumers into producers of data; they are the new reporters, photographers, videographers of everyday life. This production creates large quantities of data known as the “Big Data”. Big data has opened up many doors for researchers to investigate new aspects of cities. This paper aims to explore how people access urban public spaces through social media by taking the parameter of distance and physical proximity into account. We tried to investigate if different levels of accessibility effects the way people interact with space through social media. Through this process the study explored different socio-spatial patterns in the city that are being affected by social media. The research data was collect in two layers of Nicosia in Northern Cyprus: first, the geo-tagged social media data was collected from the target group, and it was located on the map. Twitter as a microblogging medium was selected for data collection due to its public nature, geo-tagged abilities, and manageable short content. Second, degrees of accessibility in local and global scale were calculated using Space Syntax. The data was analyzed using regression analysis, scatter plot, and outlier detention. The result shows various patterns in correlation of interactions between society and space; it illustrates the importance of exploring the outliers when reading big data on the city. The result shows clear importance of local accessibility even when social media is the effective variable.
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Victorino, Jorge, Jorge Rudas, Ana Maria Reyes, et al. "Spatial-temporal patterns of aggressive behaviors. A case study Bogotá, Colombia." In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020. http://dx.doi.org/10.1109/asonam49781.2020.9381311.
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Rajeevan, Aparna, Saritha G. Parambath, and Bejene S. Kothari. "Spatial Sustainability as A Contextual Tool to Code Emerging Urban Patterns of Cities." In 4th International Conference of Contemporary Affairs in Architecture and Urbanism – Full book proceedings of ICCAUA2020, 20-21 May 2021. Alanya Hamdullah Emin Paşa University, 2021. http://dx.doi.org/10.38027/iccaua2021291n12.
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As cities grow, the urban system expands and the contribution of each architect or urban designer into the system is different. Every increment is unique in its own character and expresses the attitude of the designer through it. Hence any increment into the system should be a continuation of what was existing before and should give due values to the existing condition without which the system tends to break. Doing so can lead to formation of a spatially sustainable fabric or city but to attain this kind of sustainability, every type of fabrics in every cities should follow a set of codes which are unique to themselves because spatial sustainability depends upon the spatial and social organization of spaces, geometric and configurational ordering of the space, culture and way of life in a city. Space syntax and spatial cognition were the methods used to identify parameters that contribute to spatial sustainability.
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Souza, Roberto C. S. N. P., Renato M. Assunção, Daniel B. Neill, and Wagner Meira. "Detecting Spatial Clusters of Disease Infection Risk Using Sparsely Sampled Social Media Mobility Patterns." In SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2019. http://dx.doi.org/10.1145/3347146.3359369.
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Pathirana, I. U., and S. D. A. Soorige. "Impact of energy cultures for adoption of electric vehicles." In Spatial Dynamics: Envisioning tomorrow’s Design through Advanced Practices. Faculty of Architecture Research Unit, 2024. https://doi.org/10.31705/faru.2024.41.
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The preeminent reliance on fossil fuel-powered transportation systems poses critical risks to human prosperity and environmental sustainability. As a result, transitioning to sustainable mobility has gained prominence, with electric vehicles (EVs) emerging as a transformative solution EVs not only challenge carbon-dependent travel patterns but also exemplify the principles of sustainable transportation. Energy culture is identified as a research domain that provides an understanding of energy behaviors and energy-related changes in transportation systems. This study aims to develop an Energy Cultures framework to promote EV adoption by understanding the intricate dynamics of energy behaviours and transitions within transportation systems. Grounded in the Energy Cultures framework, this research explores the interrelationships between societal norms, practices, and material culture, and how external influences shape these dimensions. The need to conduct a study on energy culture arises from the lack of comprehensive research in the field, and it is essential to delve into the subject to understand its profound implications on social behaviour, environmental sustainability and economic development. Hence, this study helps to fills a critical gap in understanding the socio-cultural and behavioral dimensions of EV adoption. By providing actionable insights, contributes to advancing environmental sustainability, fostering behavioral shifts, and supporting the transition toward cleaner, more sustainable transportation systems.
Reports on the topic "Social spatial patterns"
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Walker, Samantha, Tomoko McGaughey, and Paul Peters. Spatial models of access to health and care services in rural and remote Canada: a scoping review protocol. Spatial Determinants of Health Lab, 2023. http://dx.doi.org/10.22215/rrep/2023.sdhl.606.
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Objective: The objective of this review is to determine the scope of spatial modelling approaches used to evaluate geographic access to health and care services in rural Canada. Introduction: Canada’s health and social policy agenda has made the requirement for equal access to primary and secondary health services for rural populations a key priority. Most rural health research in Canada has focused on measuring patterns of health outcomes or modelling geographic access to a narrow range of services, health conditions, or within specific regions. This scoping review will provide an in depth look at the spatial modelling currently being used to evaluate the barriers and facilitators for access to health and care services and will provide direction for further research. Inclusion criteria: This review will consider studies that include any person accessing health and care services in Canada, focusing on those who reside in rural or remote communities, or access health services in those areas. Methods: Published primary studies, reviews, opinion papers, reports, theses, and dissertations published in English or French across all dates will be searched in databases including CINAHL via EBSCO, PubMed, ProQuest, Scopus, Web of Science and Dissertations and Theses Global. Following the search, all titles and abstracts will then be assessed against the inclusion criteria for the review. Potentially relevant papers will be assessed in detail against the inclusion criteria. The data extracted will include geographic location, service under study, analytic methodology, data included, and specifics of the spatial models employed.
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Pasupuleti, Murali Krishna. Augmented Human Intelligence: Converging Generative AI, Quantum Computing, and XR for Enhanced Human-Machine Synergy. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv525.
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Abstract: Augmented Human Intelligence (AHI) represents a paradigm shift in human-AI collaboration, leveraging Generative AI, Quantum Computing, and Extended Reality (XR) to enhance cognitive capabilities, decision-making, and immersive interactions. Generative AI enables real-time knowledge augmentation, automated creativity, and adaptive learning, while Quantum Computing accelerates AI optimization, pattern recognition, and complex problem-solving. XR technologies provide intuitive, immersive environments for AI-driven collaboration, bridging the gap between digital and physical experiences. The convergence of these technologies fosters hybrid intelligence, where AI amplifies human potential rather than replacing it. This research explores AI-augmented cognition, quantum-enhanced simulations, and AI-driven spatial computing, addressing ethical, security, and societal implications of human-machine synergy. By integrating decentralized AI governance, privacy-preserving AI techniques, and brain-computer interfaces, this study outlines a scalable framework for next-generation augmented intelligence applications in healthcare, enterprise intelligence, scientific discovery, and immersive learning. The future of AHI lies in hybrid intelligence systems that co-evolve with human cognition, ensuring responsible and transparent AI augmentation to unlock new frontiers in human potential. Keywords: Augmented Human Intelligence, Generative AI, Quantum Computing, Extended Reality, XR, AI-driven Cognition, Hybrid Intelligence, Brain-Computer Interfaces, AI Ethics, AI-enhanced Learning, Spatial Computing, Quantum AI, Immersive AI, Human-AI Collaboration, Ethical AI Frameworks.
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Land Conflicts in India: An Interim Analysis. Rights and Resources Initiative, 2016. http://dx.doi.org/10.53892/dogb3075.
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Land and resource conflicts in India have deep implications for the well-being of the country’s people, institutions, investments, and long-term development. These conflicts reveal deep structural flaws in the country’s social, agrarian, and institutional structures, including ambiguities in property rights regimes and institutions. In 2014, a study focusing primarily on reports in the national media reflected the gravity of these conflicts. There was great interest in this narrow exercise, which prompted a more rigorous and detailed data collection on conflicts and creation of an interactive web portal on land and resource conflicts in India. While the exercise is ongoing, this brief provides an interim analysis of approximately 289 conflicts for which data was collected thus far, covering the period between January-September, 2016. This analysis provides a powerful instrument to understand land resource conflicts in India. The emerging patterns from the analysis of the 289 conflicts provide inferences about sectoral and spatial distribution of conflicts. Based on these patterns, our assessment is that this brief has captured roughly 25- 40 percent of active and substantive land conflicts in the country.