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  Subjects -> COMPUTER SCIENCE (Total: 1993 journals)
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    - COMPUTER SCIENCE (1157 journals)
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COMPUTER SCIENCE (1157 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 13)
Abakós     Open Access   (Followers: 3)
Academy of Information and Management Sciences Journal     Full-text available via subscription   (Followers: 69)
ACM Computing Surveys     Hybrid Journal   (Followers: 22)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 9)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 6)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 11)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 4)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 13)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 3)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 1)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 20)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 8)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 21)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 26)
Advanced Science Letters     Full-text available via subscription   (Followers: 7)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 16)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15)
Advances in Computer Science : an International Journal     Open Access   (Followers: 13)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 53)
Advances in Engineering Software     Hybrid Journal   (Followers: 25)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 10)
Advances in Human-Computer Interaction     Open Access   (Followers: 20)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 37)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 1)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 7)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 4)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 7)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 9)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 6)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 2)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 14)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Computer Systems     Open Access   (Followers: 1)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 32)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 125)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 6)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access  
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 3)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 9)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 308)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 31)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 46)
British Journal of Educational Technology     Hybrid Journal   (Followers: 123)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 2)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal  
Cell Communication and Signaling     Open Access   (Followers: 1)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 15)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 12)
Circuits and Systems     Open Access   (Followers: 16)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Communication Methods and Measures     Hybrid Journal   (Followers: 11)
Communication Theory     Hybrid Journal   (Followers: 20)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 53)
Communications of the Association for Information Systems     Open Access   (Followers: 18)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access  
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 9)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 14)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 13)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 31)
Computer     Full-text available via subscription   (Followers: 84)
Computer Aided Surgery     Hybrid Journal   (Followers: 3)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 6)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 7)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 10)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 1)
Computer Music Journal     Hybrid Journal   (Followers: 16)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 7)
Computer Science and Engineering     Open Access   (Followers: 17)
Computer Science and Information Technology     Open Access   (Followers: 11)
Computer Science Education     Hybrid Journal   (Followers: 12)
Computer Science Journal     Open Access   (Followers: 20)
Computer Science Master Research     Open Access   (Followers: 10)
Computer Science Review     Hybrid Journal   (Followers: 10)

        1 2 3 4 5 6 | Last

Journal Cover Applied Spatial Analysis and Policy
  [SJR: 0.351]   [H-I: 9]   [4 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1874-4621 - ISSN (Online) 1874-463X
   Published by Springer-Verlag Homepage  [2353 journals]
  • Quantifying the Spatiotemporal Trends of Urban Sprawl Among Large U.S.
           Metropolitan Areas Via Spatial Metrics
    • Authors: Neil Debbage; Bradley Bereitschaft; J. Marshall Shepherd
      Pages: 317 - 345
      Abstract: Abstract Spatial metrics have emerged as a widely utilized tool to quantify urban morphologies and monitor urban sprawl. Since previous applications of spatial metrics have typically considered only a single urban class, this study evaluates how deriving spatial metrics from multiple land use/land cover (LULC) classification schemes can help elucidate the spatiotemporal trends of urban sprawl. Specifically, the urban morphologies of the fifty most populous metropolitan areas in the U.S. were quantified in 2001 and 2011 using spatial metrics derived from two LULC classification schemes: the more common urban/non-urban binary and a non-binary that considered four urban classes individually. The results indicated that many of the spatial metrics were significantly correlated with existing sprawl indices, suggesting that they accurately quantified components of urban form associated with urban sprawl. More sprawl-like morphologies were typically located in the Eastern region of the U.S. although the regional variability of select spatial metrics was dependent on the LULC classification scheme. Over the 10-year study period, spatial metric-based sprawl indices that compared the relative abundance of low and high intensity urban development suggested that sprawl attributable to low-density single family residential suburbs generally decreased among most metropolitan areas. However, detailed case studies revealed that sprawling development was still likely increasing within particular metros in the form of strip commercial development. Overall, the findings highlight the importance of considering multiple classification schemes to maximize the utility of spatial metrics for urban morphological analysis and urban planning.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9190-6
      Issue No: Vol. 10, No. 3 (2017)
       
  • Revisiting a Hegemonic Concept: Long-term ‘Mediterranean Urbanization’
           in Between City Re-polarization and Metropolitan Decline
    • Authors: Margherita Carlucci; Efstathios Grigoriadis; Kostas Rontos; Luca Salvati
      Pages: 347 - 362
      Abstract: Abstract Urban development in southern Europe differs from urbanization patterns observed in other affluent countries. Urbanization processes in the Mediterranean region reflect heterogeneous spatial forms and more similar socioeconomic dynamics. Rejecting a unique ‘Mediterranean city’ model, this study proposes a thorough analysis of post-war urban development in four southern European countries (Greece, Italy, Portugal and Spain) focusing on homogeneous patterns and possible sources of heterogeneity in spatio-temporal trends of individual city expansion. Urbanization without industrialization - boosted by the informal economy and the development of traditional services - has driven the growth of large cities through agglomeration economies enhanced by internal immigration. This trend has deflated shortly after the end of the baby boom, favoring slow dynamics towards spatially-balanced settlements and determining a recovery of medium-sized cities, which have been further consolidated with the economic crisis.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9186-2
      Issue No: Vol. 10, No. 3 (2017)
       
  • The Path-Dependency of Low-Income Neighbourhood Trajectories: An Approach
           for Analysing Neighbourhood Change
    • Authors: Merle Zwiers; Reinout Kleinhans; Maarten Van Ham
      Pages: 363 - 380
      Abstract: Abstract The gap between wealthy and disadvantaged neighbourhoods seems to be increasing in many contemporary Western cities. Most studies of neighbourhood change focus on specific case-studies of neighbourhood downgrading or gentrification. Studies investigating socio-spatial polarisation in larger urban areas often compare neighbourhoods at two points in time, neglecting the underlying dynamic character of neighbourhoods. In the current literature, the question if neighbourhoods with similar characteristics experience similar changes over time remains unanswered. As a result, it is unclear why some neighbourhoods appear to be more prone to change than others. In this paper, we propose a dual approach for analysing neighbourhood change. We argue that researchers should both adopt a long-term perspective (20–40 years), because significant changes are only visible after longer periods of time, and focus on more detailed neighbourhood trajectories to understand how neighbourhood change is interrelated with context. Focussing on Dutch neighbourhoods over the period 1971–2013, we analyse the role of physical characteristics on low-income neighbourhood trajectories using an innovative visualisation technique. A tree-structured discrepancy analysis allows for the visualisation of complete neighbourhood pathways, enabling the analysis of complex, contextualised patterns of change. We find that the original quality of neighbourhoods and dwellings seems to be an important predictor for future neighbourhood trajectories, indicating a high level of path-dependency.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9189-z
      Issue No: Vol. 10, No. 3 (2017)
       
  • The Relationship Between Urban Morphology and Street Lighting Operating
           Costs: Evidence from Medium-sized Spanish Cities
    • Authors: Francisco Javier Garrido-Jiménez; Francesc Magrinyá; María Consuelo del Moral-Ávila; Gustavo Rodríguez-García
      Pages: 381 - 399
      Abstract: Abstract The design and operation of urban public infrastructure has a large impact on the future economic and environmental sustainability of the urban system. However, those factors are not usually considered when the city is planned, and it is difficult to ensure that urban planning will create more sustainable cities. Therefore, knowledge of the relationship between planning variables and future operating cost of urban public services can help to improve the decision-making process in the early stages of urban planning. In a set of Spanish cities on two different territorial levels, the degree of correlation between three of the urban planning variables that define the urban morphology and the operating cost of street lighting infrastructure has been analysed. The study shows that at whole city level, the operating cost is closely related to housing density and relative length of roads, while for new residential developments, the most crucial urban variable is the relative area occupied by the streets. It has also become clear that per area and per capita operating cost of illuminating newly developed areas is significantly higher than the average cost for the whole city.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9187-1
      Issue No: Vol. 10, No. 3 (2017)
       
  • Comparative Analysis of Urban Competitiveness in the Yangtze River Delta
           and Pearl River Delta Regions of China, 2000–2010
    • Authors: Lei Wang; Jianfa Shen
      Pages: 401 - 419
      Abstract: Abstract Many studies have employed the perspective of urban competitiveness to understand the development and restructuring of cities and regions in the context of economic globalization, while a few studies have made comparative analyses of urban competitiveness and competitive advantages in different regions. This paper makes a systematic comparison of urban competitiveness in Yangtze River Delta (YRD) and Pearl River Delta (PRD) in China in the period 2000–2010. Although, YRD and PRD are two most advanced regions in China, they have rarely been compared in terms of urban competitive advantages and regional spatial restructuring. Urban competitiveness is assessed using a four-level hierarchal evaluation system with a total of 59 indicators. The results show that, among the four dimensions of economic, social, environmental, and connectivity competitiveness, economic competitiveness had the most significant correlation with the overall urban competitiveness in 2000 and 2010, while environmental competitiveness had become less consistent with the overall urban competitiveness in the period. In general, cities in YRD outperformed those in PRD in terms of improvement in the relative competitiveness in the period 2000–2010. The primate city in PRD (Shenzhen in 2000 and Guangzhou in 2010) was much weaker than its counterpart in YRD (Shanghai). But the top three competitive cities in PRD became more dominant than those in YRD over the decade. There was a trend of convergence in urban competitiveness in YRD, while an opposite trend was observed in PRD. The result implies that the urban system in YRD was more mature than that in PRD.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9210-6
      Issue No: Vol. 10, No. 3 (2017)
       
  • Spatiotemporal Analysis of Housing Prices in China: A Big Data Perspective
    • Authors: Shengwen Li; Xinyue Ye; Jay Lee; Junfang Gong; Chenglin Qin
      Pages: 421 - 433
      Abstract: Abstract Due to the rapid economic growth and urbanization, China’s real estate industry has been undergoing a fast-paced development in recent decades. However, the spatial imbalance between the economic growth in urban and that in rural areas and the excessive growth and fluctuations of house prices in both areas had quickly caught public’s attention. Not surprisingly, these issues had become a focus of urban and regional economic research. Efficient and accurate prediction of housing prices remains a much needed but disputable topic. Currently, based on the trends and changes in the financial market, population migration and urbanization processes, numerous case studies have been developed to evaluate the mechanism of real estate’s price fluctuations. However, few studies were conducted to examine the space-time dynamics of how housing prices fluctuated from a big data perspective. Using data from China’s leading online real estate platform {sofang.com}, we investigated the spatiotemporal trends of the fluctuations of housing prices in the context of big data. This paper uses spatial data analytics and modeling techniques to: first, identify the spatial distribution of housing prices at micro level; second, explore the space-time dynamics of residential properties in the market; and third, detect if there exist geographic disparity in terms of housing prices. Results from our analysis revealed the space-time patterns of the housing prices in a large metropolitan area, demonstrating the utility of big data and means of analyzing big data.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9185-3
      Issue No: Vol. 10, No. 3 (2017)
       
  • The Influence of On-Premise and Off-Premise Alcohol Outlets on Reported
           Violent Crime in the Region of Waterloo, Ontario: Applying Bayesian
           Spatial Modeling to Inform Land Use Planning and Policy
    • Authors: Matthew Quick; Jane Law; Hui Luan
      Pages: 435 - 454
      Abstract: Abstract This research analyzes the association between alcohol outlets and reported violent crime at the small-area level in the Region of Waterloo, Ontario, Canada. Alcohol outlets are hypothesized to be associated with high violent crime, primarily because they bring together large numbers of potential offenders and targets, and from a policy perspective, alcohol outlets are a modifiable land use risk factor that can be addressed through land use planning and policy. Results show that both on- and off-premise alcohol outlets are positively associated with reported violent crime after accounting for socioeconomic characteristics. Using small-area risk estimates resulting from Bayesian spatial regression models, map decomposition visualizes the geographic pattern of violent crime risk and the contribution of specific risk factors at the small-area scale, and violent crime hotspots are identified based on posterior probability of relative risk. Applying results to land use planning and policy, we identify small-areas that may be preferred for proposed alcohol outlets based on specific criteria such as low violent crime risk and low risk due to alcohol outlets. We also discuss how the results of this research inform law enforcement initiatives.
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9191-5
      Issue No: Vol. 10, No. 3 (2017)
       
  • Erratum to: Agricultural Land Consumption in Periurban Areas: a
           Methodological Approach for Risk Assessment Using Artificial Neural
           Networks and Spatial Correlation in Northern Italy
    • Authors: Chiara Mazzocchi; Stefano Corsi; Guido Sali
      Pages: 455 - 455
      PubDate: 2017-09-01
      DOI: 10.1007/s12061-016-9205-3
      Issue No: Vol. 10, No. 3 (2017)
       
  • Communities as Neighborhood Guardians: A Spatio-Temporal Analysis of
           Community Policing in Nairobi's Suburbs
    • Authors: Lucy Mburu; Marco Helbich
      Pages: 189 - 210
      Abstract: Abstract The efficacy of citizens to participate in neighborhood-watch activities and report signs of trouble is important for safeguarding communities against crime. Community policing is a key policing strategy for utilizing the capability of residents to solve local crime-related problems. However, variability in social cohesion among communities profoundly affects the contribution of individuals towards policing. After 7 years of a community policing intervention in suburban Nairobi, Kenya, this study assesses the program as a state-initiated and community-sustained security venture. We compare micro-scaled concentrations of different property and violent crimes to identify geographic variations over time using kernel density estimates and spatio-temporal scan statistics. Multi-level regression models assess the direct and conditioned perceptions of individuals and their neighbors, and how these perceptions influenced crime variation during the pre- and post-intervention periods of community policing. Both the density estimates and the scan statistics pinpoint a disproportionate crime reduction across neighborhoods. The research findings also depict an interaction between the communal willingness to participate in neighborhood-watch activities and the relative crime decline. In particular, those communities that have good relations with the police are more inclined to involve themselves in community policing. The findings of this study are discussed in terms of their implications for policy.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-015-9178-7
      Issue No: Vol. 10, No. 2 (2017)
       
  • Analysing and Projecting Indigenous Migration in Australia
    • Authors: James Raymer; Nicolas Biddle; Paul Campbell
      Pages: 211 - 232
      Abstract: Abstract In this paper, a model is developed to project interregional migration flows for the Aboriginal and Torres Strait Islander (Indigenous) populations in Australia at the state and territory level by age and sex. Migration flow data, obtained from the three most recent Australian quinary censuses (2001, 2006 and 2011), are first assessed and analysed in comparison with the patterns of the corresponding non-Indigenous population. Log-linear models are used to identify the key structures and patterns over time. A model is then developed to project the migration flows by origin, destination, age and sex forward in 5-year increments to 2031. This includes incorporating techniques to overcome the small number cell issues associated with the very small population size of the Indigenous population. The results of this research provide (i) insights into the different migration patterns of an important but disadvantaged minority population in Australia and (ii) inputs for a dynamic multiregional model of Indigenous population change.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-015-9179-6
      Issue No: Vol. 10, No. 2 (2017)
       
  • Provincial Growth in Turkey: A Spatial Econometric Analysis
    • Authors: Pelin Akçagün
      Pages: 271 - 299
      Abstract: Abstract This study investigates the conditional income convergence hypotheses among provinces of Turkey over 1991–2009 period using a comprehensive set of spatial econometric models and two alternative definitions of spatial weights matrices. Particular attention is given to the alterations of the political and economic structures in the two sub-periods 1991–2001 and 2002–2009. We first consider non-spatial specification estimated by ordinary least squares and conduct tests to detect the evidence of spatiality in the data. The spatial econometric models are then estimated by maximum likelihood and compared to each other via likelihood ratio tests following a general-to-specific model selection procedure. The results indicate that different political and economic environments may lead not only to distinct convergence dynamics but also to dissimilar spatial relations. Spatial error model is the most appropriate specification for 1991–2009 and 2002–2009 periods whereas spatial cross-regressive model better characterizes the data for 1991–2001. The beta-convergence dynamics are observed in all periods, with noticeably higher rates for the post-2002 period.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-016-9183-5
      Issue No: Vol. 10, No. 2 (2017)
       
  • Using Routinely Collected Administrative Data in Public Health Research:
           Geocoding Alcohol Outlet Data
    • Authors: Richard J. Fry; Sarah E. Rodgers; Jennifer Morgan; Scott Orford; David L. Fone
      Pages: 301 - 315
      Abstract: Abstract We describe our process of geocoding alcohol outlets to create a national longitudinal exposure dataset for Wales, United Kingdom from 2006 to 2011. We investigated variation in the availability of data items and the quality of alcohol outlet addresses held within unitary authorities. We used a standard geocoding method augmented with a manual matching procedure to achieve a fully spatially referenced dataset. We found higher quality addresses are held for outlets based in urban areas, resulting in the automatic geocoding of 68 % of urban outlets, compared to 48 % in rural areas. Missing postcodes and a lack of address structure contributed to a lower geocoding proportion. An urban rural bias was removed with the development of a manual matching procedure. Only one-half of the unitary authorities provided data on on/off sales and opening times, which are important availability factors. The resulting outlet dataset is suitable for contributing to the evidence-base of alcohol availability and alcohol-related harm. Local government should be encouraged to use standardised data fields, including addresses, to enable accurate geocoding of alcohol outlets and facilitate research that aims to prevent alcohol-related harm. Standardising data collection would enable efficient secondary data reuse using record linkage techniques, allowing the retrospective creation and evaluation of population-based natural experiments to provide evidence for policy and practice.
      PubDate: 2017-06-01
      DOI: 10.1007/s12061-016-9184-4
      Issue No: Vol. 10, No. 2 (2017)
       
  • Exploring the Links Between Education and Income Inequality at the
           Municipal Level in Greece
    • Authors: Anastasia Panori; Yannis Psycharis
      Abstract: Abstract This paper builds upon the EU2020 strategy, following the smart and inclusive growth paradigm, that treats human capital as a central component of regional development. However, there are cases of smart growth policies, focusing on skills’ empowerment, which may not yield the expected results, in terms of social cohesion aspects. Given this fact, the role of regional specificities, such as the extent to which an economy is characterized by a knowledge-based structure, constitute essential parameters that need to be taken into consideration during a policy-design process. This study aims to provide an evidence-based sub-regional analysis to assist processes regarding place-based policy design for socio-economic inclusion, in the case of Greece. More specifically, it investigates the links between education and income inequality, at a municipal level during the period 1994–2012, using a balanced panel dataset. The results indicate a negative effect of educational level on the formation of income inequality, probably due to the lack of an advanced knowledge-based economic structure in the case of the Greek economy. The significance of incorporating local particularities in the analysis, such as human capital endowments and time-varying socio-economic disturbances, as the 2008 economic crisis, is also stressed. Finally, the econometric method used in this paper includes the development of a DSEM model estimated by a system GMM estimator.
      PubDate: 2017-09-14
      DOI: 10.1007/s12061-017-9234-6
       
  • Measuring Regional Differences in Labour Market Sensitivity in Hungary
    • Authors: Levente Alpek; Robert Tésits
      Abstract: Abstract The core of this study is the development of a statistical tool for measuring the regional labour market sensitivity. The goal is to present and apply a general index, which can be used in other disciplines as well. An additional objective is the evaluation of the social and economic processes affecting the labour market, and the identification of highly vulnerable areas exposed to crises. In this study, sensitivity means the relative volume of responsiveness to the labour market changes in the examined areas. Former spatial statistical methods have tried to identify the regional differentiating factors of unemployment; however, they did not reveal the extent to which the villages and towns were exposed to economic and employment changes. A new index provides this opportunity. It evaluates the processes of regional unemployment, the degree of exposure to the crisis and the employment mechanisms with particular regard to public employment programmes. The research explores and evaluates the specific labour market vulnerability and macro-regional structure of the settlements of Hungary with the help of the developed index. Thus at least three new elements of the national spatial structure will be revealed which enables us to prepare for socio-economic changes similar to the latest crisis.
      PubDate: 2017-09-14
      DOI: 10.1007/s12061-017-9237-3
       
  • Developing an Individual-level Geodemographic Classification
    • Authors: Luke Burns; Linda See; Alison Heppenstall; Mark Birkin
      Abstract: Abstract Geodemographics is a spatially explicit classification of socio-economic data, which can be used to describe and analyse individuals by where they live. Geodemographic information is used by the public sector for planning and resource allocation but it also has considerable use within commercial sector applications. Early geodemographic systems, such as the UK’s ACORN (A Classification of Residential Neighbourhoods), used only area-based census data, but more recent systems have added supplementary layers of information, e.g. credit details and survey data, to provide better discrimination between classes. Although much more data has now become available, geodemographic systems are still fundamentally built from area-based census information. This is partly because privacy laws require release of census data at an aggregate level but mostly because much of the research remains proprietary. Household level classifications do exist but they are often based on regressions between area and household data sets. This paper presents a different approach for creating a geodemographic classification at the individual level using only census data. A generic framework is presented, which classifies data from the UK Census Small Area Microdata and then allocates the resulting clusters to a synthetic population created via microsimulation. The framework is then applied to the creation of an individual-based system for the city of Leeds, demonstrated using data from the 2001 census, and is further validated using individual and household survey data from the British Household Panel Survey.
      PubDate: 2017-08-31
      DOI: 10.1007/s12061-017-9233-7
       
  • Localized Spatiotemporal Effects in the Determinants of Property Prices: A
           Case Study of Seoul
    • Authors: A. Stewart Fotheringham; Bumsub Park
      Abstract: Abstract This research investigates both spatial and temporal elements of the apartment pricing process in Seoul, South Korea by modeling the determinants of apartment prices over a ten-year period from 2006 to 2015 with a hedonic price model containing a spatio-temporal lag model calibrated by geographically weighted regression (GWR). The results yield information on both spatial and temporal variations in the processes affecting apartment prices and demonstrate the use of GWR for generating local spatial dependency measures which are conditioned on various covariates rather than being simple descriptions of pattern. The study utilizes a combined approach to account for both spatial dependency in housing prices and spatial heterogeneity in the processes generating those prices. The results suggest that there are spatial variations in the determinants of apartment prices and that these spatial variations are fairly consistent over time. The effect of the spatial lag on house prices exhibits strong spatial variation which again is reasonably consistent over time.
      PubDate: 2017-08-24
      DOI: 10.1007/s12061-017-9232-8
       
  • Mining Co-Location Patterns of Hotels with the Q Statistic
    • Authors: Zhiwei Yan; Jing Tian; Chang Ren; Fuquan Xiong
      Abstract: Abstract Location choice is critically important to the establishment and development of hotels. Co-location of hotels is an important factor that affects their location choice. This paper aims to use the Q statistic to mine the co-location patterns that hotels prefer or avoid in the agglomeration. The application is to hotels in 10 representative cities in China. It was found that hotel owners prefer to locate their hotels with those of the same type; mid-level and luxury hotel owners also like to locate the hotels in proximity to each other; a large number of these two classes are likely to attract budget hotels; an area without enough mid-level and luxury hotels is much less attractive to the establishment of budget hotels. The results confirm that hotels’ locations can be affected by the types of their neighboring hotels, providing practical implications for individuals, hotel owners, and policy makers.
      PubDate: 2017-08-18
      DOI: 10.1007/s12061-017-9231-9
       
  • Geography, Ethnicity and Regional Inequality in Guangxi Zhuang Autonomous
           Region, China
    • Authors: Qiwen Dai; Xinyue Ye; Yehua Dennis Wei; Yuemin Ning; Sheng Dai
      Abstract: Abstract This paper analyzes regional inequality in Western China through a case study of Guangxi Zhuang Autonomous Region from 1989 to 2012. We have found a recent trend of increasing county-level inequality, in which the distribution of regional inequality has changed from a single peak to a bimodal pattern. Based on the multi-mechanism framework, we have revealed that geographic environment and ethnic characteristics have had a large impact on the economic development of Guangxi. Spatiality, investment and industrialization play an additional important role in regional development; meanwhile, globalization and decentralization play a minor role. Building on the semiparametric geoadditive models, our investigation detects nonlinear relationships between geography, ethnicity and local development. We then assess the relative performance of infrastructure and market potential to control for unobserved spatial heterogeneity.
      PubDate: 2017-08-14
      DOI: 10.1007/s12061-017-9229-3
       
  • Wander: A Smartphone App for Sensing Sociability
    • Authors: Jonathan Corcoran; Renee Zahnow; Behrang Assemi
      Abstract: Abstract This paper presents a new smartphone application, Wander, to capture high resolution space-time information on urban dwellers. We detail both the mechanism as well as the analytic platform through which broad scale spatial mobility studies can be mounted to reveal how individuals move through spaces and interact with the social and physical elements of urban life. Results demonstrate the utility of Wander for collecting spatial mobility data that for the first time enables empirical testing of theories first forwarded by urban sociologists at the turn of the 20th Century. We use data collected through the Wander application to examine the timing and regularity of spatial mobility patterns, how these are related to particular urban features, and differ by participant characteristics.
      PubDate: 2017-07-20
      DOI: 10.1007/s12061-017-9228-4
       
  • Spatial, Temporal and Hierarchical Variability of the Factors Driving
           Urban Growth: A Case Study of the Treasure Valley of Idaho, USA
    • Authors: Khila Dahal; Eric Lindquist
      Abstract: Abstract Urban landscape is a system of hierarchically nested spatial structures or land patches with their distinct dynamics and causal factors. The lower level structures evolve together to give out different forms, patterns and extents during the process of urbanization. An understanding of driving factors of these hierarchical structures has important implications for future land use planning and urban management. Adopting an innovative framework of urban patch hierarchy, this study investigates the drivers and spatiotemporal variability of their explanatory power at urban and intra-urban patch levels, with Treasure Valley of Idaho, USA as a case of study. We calibrated global and local logistic regression models against a set of 18 spatialized variables. Results show that growth drivers and their impact vary both across the study site and along the cycles of urbanization at different levels of urban landscape. Urban agglomeration factors including the proximity to urbanized area had the highest impact on new development, urban growth forms and land uses. Factors were less stable at the lower level because of their subtle interconnectedness with local structures. The study further revealed an existence of distinct patterns of association among the growth forms, land use types, and the included factors. Specific growth forms and land use classes demonstrated identical temporal patterns with certain driving factors.
      PubDate: 2017-06-15
      DOI: 10.1007/s12061-017-9227-5
       
 
 
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