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  Subjects -> COMPUTER SCIENCE (Total: 2007 journals)
    - ANIMATION AND SIMULATION (30 journals)
    - ARTIFICIAL INTELLIGENCE (98 journals)
    - AUTOMATION AND ROBOTICS (98 journals)
    - CLOUD COMPUTING AND NETWORKS (60 journals)
    - COMPUTER ARCHITECTURE (9 journals)
    - COMPUTER ENGINEERING (9 journals)
    - COMPUTER GAMES (16 journals)
    - COMPUTER PROGRAMMING (24 journals)
    - COMPUTER SCIENCE (1169 journals)
    - COMPUTER SECURITY (46 journals)
    - DATA BASE MANAGEMENT (13 journals)
    - DATA MINING (32 journals)
    - E-BUSINESS (22 journals)
    - E-LEARNING (29 journals)
    - ELECTRONIC DATA PROCESSING (21 journals)
    - IMAGE AND VIDEO PROCESSING (39 journals)
    - INFORMATION SYSTEMS (108 journals)
    - INTERNET (92 journals)
    - SOCIAL WEB (50 journals)
    - SOFTWARE (34 journals)
    - THEORY OF COMPUTING (8 journals)

COMPUTER SCIENCE (1169 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: 14)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 24)
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: 12)
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: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 6)
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: 21)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 4)
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: 9)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 25)
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: 9)
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: 15)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 11)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Human-Computer Interaction     Open Access   (Followers: 21)
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: 40)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 4)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 8)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 9)
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: 5)
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: 11)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 8)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
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: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 13)
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: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 15)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
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: 131)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 7)
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   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 4)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 11)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 9)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 298)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 14)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 18)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 34)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 45)
British Journal of Educational Technology     Hybrid Journal   (Followers: 131)
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)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 1)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 1)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 14)
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: 11)
Circuits and Systems     Open Access   (Followers: 15)
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: 14)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
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: 55)
Communications of the Association for Information Systems     Open Access   (Followers: 19)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access   (Followers: 1)
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: 11)
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: 15)
Computational Linguistics     Open Access   (Followers: 22)
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: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 30)
Computer     Full-text available via subscription   (Followers: 89)
Computer Aided Surgery     Hybrid Journal   (Followers: 5)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 9)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 12)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 2)
Computer Music Journal     Hybrid Journal   (Followers: 18)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 8)
Computer Science and Engineering     Open Access   (Followers: 19)
Computer Science and Information Technology     Open Access   (Followers: 13)
Computer Science Education     Hybrid Journal   (Followers: 14)
Computer Science Journal     Open Access   (Followers: 21)

        1 2 3 4 5 6 | Last

Journal Cover Applied Spatial Analysis and Policy
  [SJR: 0.351]   [H-I: 9]   [5 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  [2355 journals]
  • The Geography of Travel to Work in England and Wales: Extracts from the
           2011 Census
    • Authors: Alasdair Rae
      Pages: 457 - 473
      Abstract: Abstract From a policy point of view, the question of transport connectivity has recently risen up the policy agenda in the UK, and particularly in the North of England where the government are currently seeking to boost economic growth through their ‘Northern Powerhouse’ initiative. Transport is central to this plan. However, existing patterns of connectivity across England and Wales are not always well understood in the policy domain, so this paper attempts to help fill a gap by taking a geovisualisation-based approach to the analysis of 2.4 million individual journey to work flows across England and Wales. The paper builds upon previous research in the field of spatial interaction by exploring patterns associated with different modes of transport. The analysis highlights London’s dominance as a rail commuter destination, relative to major cities in the North of England, in addition to the growth of cycling as a mode of travel to work. The question of ‘error’ in the dataset is then explored, followed by a discussion of possible explanations. The paper ends by reflecting on three key findings and by highlighting opportunities for future research in this field.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9196-0
      Issue No: Vol. 10, No. 4 (2017)
       
  • The Spatial Impact of Commuting on Income: a Spatial Microsimulation
           Approach
    • Authors: Amaya Vega; Paul Kilgarriff; Cathal O’Donoghue; Karyn Morrissey
      Pages: 475 - 495
      Abstract: Abstract The Irish economic boom resulted in a substantial increase in car-ownership and commuting. These trends were particularly noticeable in the Greater Dublin Area (GDA), with an unprecedented increase in employment levels and private car registrations. While employment dropped by an overall 6 % during the recent economic recession, the already increasing process of suburbanisation around Irish main cities continued. The commuting belt around Dublin extended beyond the GDA with a substantial number of individuals commuting long distances. The aim of this paper is to examine the impact of both monetary and non-monetary commuting costs on the distribution of employment income in Ireland. The Census of Population is the only nationwide source of information on commuting patterns in Ireland. However, this data set does not include information on individual income. In contrast, SMILE (Simulation Model for the Irish Local Economy) contains employment income data for each individual in Ireland. Using data from the Census of Population of Ireland, discrete choice models of commuting mode choice are estimated for three sub-samples of the Irish population based on residential and employment location and the subjective value of travel time (SVTT) is calculated. The SVTT is then combined with the SMILE data to produce a geo-referenced, attribute rich dataset containing commuting, income, demographic and socio-economic data. Results show that the monetary and non-monetary costs of commuting are highest among those living and working in the GDA.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9202-6
      Issue No: Vol. 10, No. 4 (2017)
       
  • Does Averaging Yield More Accurate Local and Regional Population
           Forecasts'
    • Authors: Tom Wilson
      Pages: 497 - 513
      Abstract: Abstract Local and regional population forecasts inform a wide range of planning and budgeting activities, including those concerning educational provision, transport services, health facilities, electoral redistricting, and business location decisions. Unfortunately such forecasts often prove to be quite inaccurate. The aim of this paper is to evaluate a simple model for forecasting local and regional total populations in Australia which takes the average of two extrapolative methods. This is the Constant Share of Population – Variable Share of Growth (CSP-VSG) model, shown to have performed well at the local area scale in earlier research. This study extends that earlier work, making use of recently available historical local area population estimates on the current set of geographical areas. It reports on retrospective tests of the averaged model in Australia over several forecasting periods, and at three geographical scales. Forecasts are produced for three ten year forecast horizons (1991–2001, 1996–2006, and 2001–2011) and comparisons are made with simple linear extrapolation. It is shown that for all geographical scales and forecast horizons the averaged model generally produces more accurate population forecasts. The value added over linear extrapolation is greater for the smallest areas and those with the highest (positive or negative) base period growth rates. Applying the averaged model to non-metropolitan regions only results in further gains in accuracy. It is argued that the averaged model is a useful addition to the population forecaster’s toolkit: it produces forecasts of respectable accuracy with low input data requirements and production costs.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9194-2
      Issue No: Vol. 10, No. 4 (2017)
       
  • The Impact of Proposed Higher Education Reforms on Geographic
           Accessibility to Universities in Ireland
    • Authors: Sharon Walsh; John Cullinan; Darragh Flannery
      Pages: 515 - 536
      Abstract: Abstract The pursuit of equity in access to higher education is central to education policy in most developed countries. Although much of the focus has been on narrowing the social class differential in higher education participation, spatial factors have been increasingly acknowledged as a potential barrier to access and subsequent participation. This article explores geographic accessibility to university education in Ireland using a variety of techniques and measures, paying particular attention to analysing the effect of proposed higher education policy reforms. In particular, we utilise GIS-based methodologies to model the impact of the proposed reforms on both the level of, and inequalities in, geographic accessibility to university education in Ireland. This includes mapping and analysing a range of accessibility measures, as well as calculating spatially-based university accessibility Gini indices. We also illustrate how the techniques and analysis can be used to help inform higher education policy.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9193-3
      Issue No: Vol. 10, No. 4 (2017)
       
  • GIS-based Spatial and Temporal Analysis of Aging-Involved Accidents: a
           Case Study of Three Counties in Florida
    • Authors: Sai Saylesh Vemulapalli; Mehmet Baran Ulak; Eren Erman Ozguven; Thobias Sando; Mark W. Horner; Yassir Abdelrazig; Ren Moses
      Pages: 537 - 563
      Abstract: Abstract Roadway accidents claim more than 30,000 lives each year in the United States, and they continue adversely affecting people’s well-being. This problem becomes even more challenging when aging populations are considered due to their vulnerability to accidents. This is especially a major concern in Florida since the accident risk is increasing proportionally to the population growth of aging Floridians. This study investigates the spatial and temporal patterns of aging people-involved accidents using geographical information systems (GIS)-based methods via a case study of three urban counties in Florida, selected based on their high aging-involved accident rates. A series of spatial analytic methods are utilized to explore accident patterns, including a network distance-based kernel density estimation method, which provides an unbiased distribution of the accidents over the local roadways. An accident density ratio measure is also developed in order to understand how accidents involving aging people occur at different locations than those of the general population. Results indicate that high risk locations for aging-involved accidents show different spatial and temporal patterns than those for other age groups. Investigating these distinct patterns at a high spatio-temporal scale can lead to better aging-focused transportation plans and policies.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9192-4
      Issue No: Vol. 10, No. 4 (2017)
       
  • Crash Prediction Modeling Using a Spatial Semi-Local Model: A Case Study
           of Mashhad, Iran
    • Authors: Afshin Shariat-Mohaymany; Matin Shahri
      Pages: 565 - 584
      Abstract: Abstract The rapid expansion of road construction and ever-increasing growth of urbanization have led to increased number of vehicles. Achieving the safe trips without personal harm or property damage has always been the concern of safety specialists. Over the last few years, the safety researchers attempted to develop the innovative methodologies to explore the crash affecting factors and obtain practical models with high prediction power. Generalized Linear Models (GLMs) with Poisson or Negative Binomial distribution of errors are known as the most common techniques to investigate the relationship between crashes and the related factors. Such models assume the dependent variable (e.g. crash frequency or crash rates) to be statistically independent. However; spatial traffic accidents have the tendency to be dependent, a phenomenon known as spatial autocorrelation. Values over distance are more or less similar than expected for randomly associated observations. This study aims to develop a series of crash prediction models based on Traffic Analysis Zone (TAZ)-level crashes and contributing associated factors using GLMs and spatial semi-local Poisson-Gamma-CAR model. Trip generation variables will be employed as the surrogate variable for land use and demographic characteristics in models in addition to network variables and traffic volume. The significant Moran’s I as the spatial autocorrelation indicator performing on crash frequencies grouped in 253 TAZs in Mashhad, Iran and the same analysis for residuals of all models proved the reliability of spatial model over conventional GLMs. The spatial model also indicated an improvement in model performance as indicated by the set of goodness-of-fit criteria. The results of local analysis can provide a predictive tool at the planning-level which can be applied on different travel demand policies to evaluate their traffic safety impacts.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9199-x
      Issue No: Vol. 10, No. 4 (2017)
       
  • Geostatistical Study of the Rural Property Market Applicable to the Region
           of Murcia (Spain) by M. Carmen Morillo1 et al
    • Authors: M. Carmen Morillo; Francisco García-Cepeda; Sandra Martínez-Cuevas; Iñigo Molina; Cesar García-Aranda
      Pages: 585 - 607
      Abstract: Abstract Spatial Analysis has been used since the early 1990’s for rural cadastral models. Nowadays, it is necessary to use Geographic Information Systems (GIS), Global Positioning Systems (GPS) and Cartography as well as dedicated software in order to solve problems in Cadastral Models. Among these models, the selection and prioritization of the parameters affecting the rural property valuation assets, as well as the zoning optimization (homogeneous sectors) within a community, are one of the biggest concerns for Cadastral Agencies. This research is focused on rural property in the Region of Murcia, in accordance with data recorded from 2007 to 2009. The techniques used for the spatial zoning were carried out by means of IDW (Inverse Distance Weighting) and kriging interpolators as they are the most widely used in spatial variation analysis studies. Although both interpolators produced similar results, IDW was better for predicting variation in “Unit Prices”. Afterwards, a statistical study was later completed using ANOVA, Chi-Squared and Correspondence Analysis procedures. The research results demonstrate the consistency of the parameters that have been used in the Cadastral Agencies, and the degree of involvement of these parameters in assessing the results of unit prices for different areas. These results are secured by the verification techniques applied.
      PubDate: 2017-12-01
      DOI: 10.1007/s12061-016-9200-8
      Issue No: Vol. 10, No. 4 (2017)
       
  • Measuring Spatial Accessibility to Services within Indices of Multiple
           Deprivation: Implications of Applying an Enhanced two-Step Floating
           Catchment Area (E2SFCA) Approach
    • Authors: Nicholas Page; Mitchel Langford; Gary Higgs
      Abstract: Abstract Approaches to calculating spatial accessibility within existing indices of multiple deprivation (IMD) methodologies are based on ‘traditional’ accessibility metrics and tend not to adopt more recent methodological enhancements. In particular, the last decade has seen a relatively large body of studies that have applied floating catchment area (FCA) methods that account for both service supply and potential demand interactions, mediated by the impact of distance, in a wide range of application areas. In this paper, we investigate potential implications of incorporating an FCA-based approach to measuring spatial accessibility within an existing IMD framework. Using the Welsh Index of Multiple Deprivation (WIMD) as a case study, FCA-derived accessibility scores were substituted for the existing approach used to calculate accessibility and a revised index was computed. The published methodologies used to construct the other ‘domains’ within the WIMD were followed and the implications for the overall deprivation measure were assessed. Statistical and visualisation tools revealed implications for both the access and overall IMD rankings, with sparsely populated (predominantly rural) areas tending to receive higher accessibility scores from FCA-based approaches than more densely populated (predominantly urban) areas. These areas in turn showed the greatest decline in ranking on the WIMD calculations following the application of FCA approaches. Potential reasons for such trends are posited before we conclude by drawing attention to the implications of adopting FCA-based approaches to calculate IMDs particularly for those policies designed to distribute funds or allocate resources to areas of need.
      PubDate: 2017-12-28
      DOI: 10.1007/s12061-017-9246-2
       
  • Location Tracing and Potential Risks in Interaction Data Sets
    • Authors: Oliver Duke-Williams
      Abstract: Abstract Location-aware mobile phone handsets have become increasingly common in recent years, giving rise to a wide variety of location based services that rely on a person’s mobile phone reporting its current location to a remote service provider. Previous research has demonstrated that services that geo-code status updates may permit the estimation of both the rough location of users’ home locations and those of their workplaces. The paper investigates the disclosure risks of a priori knowledge of a person’s home and workplace locations, or of their current and previous home locations. Detailed interaction data sets published from censuses or other sources are characterised by the sparsity of the contained data, such that unique combinations of two locations may often be observed. In the most detailed 2011 migration data 37% of migrants had a unique combination of origin and destination, whilst in the most detailed journey to work data, 58% of workers had a unique combination of home and workplace. The amount of additional attribute data that might be disclosed is limited. When more coarse geographies are used their still remain a non-trivial number of persons with unique location combinations, with considerably more attributes potentially disclosable.
      PubDate: 2017-12-15
      DOI: 10.1007/s12061-017-9247-1
       
  • Spatiotemporal Dynamics of Electricity Consumption in China
    • Authors: Jinghu Pan; Junfeng Li
      Abstract: Abstract Nighttime light (NTL) data from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) provide information on nighttime luminosity, a correlation of built environment and energy consumption. This research intends to estimate spatial distribution of electricity consumption (EC) in mainland China, and analyze the temporal and spatial change of electricity consumption during 2000–2012. Nighttime light vegetation index (NVI), ratio nighttime light vegetation index (RNVI), difference nighttime light vegetation index (DNVI), normalized difference nighttime light vegetation index (NDNVI), soil adjusted nighttime light vegetation index (SANVI), and modified difference nighttime light vegetation index (MDNVI) were used to compensate for shortages in DMSP/OLS data. Moderate resolution imaging spectroradiometer (MODIS) NDVI products, China GIS database, and socioeconomic statistical data were also considered. An EC estimation model was used to obtain EC during 2000–2012. We divided EC into four ratings and analyzed spatiotemporal patterns using exploratory spatial data analysis tools (e.g., Moran’s I and local indicators of spatial association-LISA statistics). Then we built a linear regression model of EC, and correlated with DMSP/OLS data to produce China’s EC spatially. We used mean relative error (MRE) to compare our results and related research outcomes. Our result showed lower MRE, i.e., superior accuracy. EC grew quickly in China from 2000 to 2012 increasing from 6.79 to 14.82 M kWh. Generating capacity and EC of 32 provinces, municipalities and autonomous regions have a strong spatial correlation. The proposed index combines information from DMSP/OLS NTL data and MODIS NDVI data for more detailed characterization of nighttime luminosity, and reduced NTL saturation. The index simplicity enables rapid characterization and monitoring of EC.
      PubDate: 2017-12-04
      DOI: 10.1007/s12061-017-9248-0
       
  • Modelling and Simulating Urban Residential Land Development in Jiading New
           City, Shanghai
    • Authors: Rongxu Qiu; Wei Xu; John Zhang; Karl Staenz
      Abstract: Abstract This study develops an agent-based and spatial genetic algorithm framework called Population-driven Urban Land Development (PDULD) to simulate urban land development and population dynamics. In the model, household-life cycles promote their location and relocation desires and, thus, form local housing market demand. Land developers and local governments make optimal use of current land reserves to meet housing demands. Land development in an area is treated as a multi-goal optimization activity. Community cohesion theory is introduced into the model to illustrate the influence of the population on the spatial structure of urban land use. The study uses the Spatial Genetic Algorithm to help find the best land development choices to achieve social, economic, and environmental goals. The results show that the model simulates population distribution quite well and interprets the real land use at a neighborhood level with a reasonable accuracy. A historic data comparison indicates that government policies and increasing land prices have dominated the process of land development in Shanghai based on a case study of Jiading New City.
      PubDate: 2017-11-28
      DOI: 10.1007/s12061-017-9244-4
       
  • Spatial Differentiation and Integration Optimization of an Urban
           Agglomeration Tourism System under the Influence of High-Speed Railway
           Network Evolution
    • Authors: Tai Huang; Jian-Chao Xi; Quan-Sheng Ge
      Abstract: Abstract This study constructs tourism spatial gravity models with multi-destination and multi-origin interaction conditions, using consumer utility and travel probability theories. It also explores, through spatial correlation methods, the spatial differentiation characteristics of the tourism system in an urban agglomeration under the influence of a high-speed railway network from the perspectives of city tourism competitiveness and resident travel potential. The research finds that the high-speed railway has an increasing influence on the urban agglomeration tourism system, widening the hierarchical difference and causing the reverse balance to have an integration effect. The influence of high-speed railways has the obvious cluster node and corridor lock-in effect, which has strengthened the core-peripheral structure of the urban agglomeration tourism system. Peripheral cities with high-speed railways are more obviously affected, but their ranking-order changes in the urban agglomeration tourism system are not significant because of comprehensive location weaknesses. Because of the complex spatial differentiation, researchers need to use multi-spatial statistical methods to carry out integrated studies and obtain useful optimization strategies.
      PubDate: 2017-11-18
      DOI: 10.1007/s12061-017-9245-3
       
  • Detecting Foreigners’ Spatial Residential Patterns in Urban
           Contexts: Two Tales from Italy
    • Authors: Federico Benassi; Fabio Lipizzi; Salvatore Strozza
      Abstract: Abstract The paper presents an original application of the Gini’s centre of population (MC) and its Standard Deviational Ellipse (SDE) in the field of spatial distribution of foreigners. The proposed measures have been applied to the top five foreign communities (and Italians) counted in 2011 Italian demographic census in the municipality of Rome and Naples. The results show that, compared to Italians, in both municipalities the communities coming from Asia show spatial distributions characterized by quite clear residential patterns: a tendency to have high levels of spatial concentration and the centre of gravity (or mean centre) located at comparatively high distances from the one of the Italians. On the contrary, the communities coming from Central and Eastern Europe present a spatial residential pattern characterized by a quite high level of spatial dispersion and a centre of gravity very close to the one of the Italians. In an intermediate situation between these two spatial patterns there are the Peruvians. Some explanatory hypotheses are advanced. The Gini’s centre of population and its Standard Deviational Ellipse seem capable to synthesize the spatial distribution of foreign population and to detect their residential patterns.
      PubDate: 2017-10-23
      DOI: 10.1007/s12061-017-9243-5
       
  • Income and Population Dynamics in Deprived Neighbourhoods: Measuring the
           Poverty Turnover Rate Using Administrative Data
    • Authors: Mark Fransham
      Abstract: Abstract Many studies of neighbourhood deprivation have confirmed that there is more continuity than change in the geography of deprivation. This stable geography can lead to an unwarranted inference that the households living on low incomes in these areas comprise a relatively static population. This paper develops the use of administrative data for the longitudinal observation of low income families in small areas, which is underdeveloped despite the widespread use of administrative data in the cross-sectional measurement of neighbourhood deprivation. An empirical measure of local poverty dynamics - the poverty turnover rate – is introduced, and created for small areas using housing benefit data for the city of Oxford between 2010 and 2014. A high turnover of poor families is observed and the poverty turnover rate is able to identify small areas with higher and lower turnover rates than the average for the city. The high turnover rates discovered in this study suggest that in this city it is primarily the flows of people in and out of the area, and in and out of low income, that maintains the concentration of poor families, rather than a static population of poor families. This approach can be used to provide a richer understanding of the population and income dynamics that underpin stability and change in the geography of poverty, of use to regeneration policy and the academic studies of gentrification, health inequalities and neighbourhood effects.
      PubDate: 2017-10-16
      DOI: 10.1007/s12061-017-9242-6
       
  • Spatial Distribution of Malnutrition among Children Under Five in Nigeria:
           A Bayesian Quantile Regression Approach
    • Authors: Ezra Gayawan; Samson B. Adebayo; Akinola A. Komolafe; Abayomi A. Akomolafe
      Abstract: Abstract Issues of malnutrition among young children in developing countries are gaining more attention of policy-makers because of the adverse effects on the well-being of people and economic of these nations. Anthropometric variables used for determining malnutrition are measured through z-scores where those whose measures fall into the extreme ends of the scores are considered malnourished. Conditional mean regression has been adopted to examine the determinants but often times, covariates would have effect on the mean, but have no substantial influence on more extreme quantiles. We adopt Bayesian quantile regression approach to measure the spatial distributions of childhood undernutrition at state and local government levels in Nigeria. Markov random fields and Bayesian P-splines were used as priors for the spatial and nonlinear components respectively and estimation was through MCMC technique. Results show the existence of north-south divide in undernutrition in Nigeria and that observed socioeconomic variables could have little influence on the distribution of undernutrition across space in the country.
      PubDate: 2017-10-09
      DOI: 10.1007/s12061-017-9240-8
       
  • Mapping Urban Accessibility in Data Scarce Contexts Using Space Syntax and
           Location-Based Methods
    • Authors: Jose Morales; Johannes Flacke; Javier Morales; Jaap Zevenbergen
      Abstract: Abstract Data scarcity is still a common barrier to adequately understanding urban access in Global South countries. Widely used location-based methods address the traditional definition of accessibility as the easiness to reach land-uses by means of available mobility modes. Space Syntax instead analyses accessibility as network centrality focusing only on the topological and geometric properties of urban layouts, making it comparatively less data-intense. However, the interpretation of its outputs is limited to its own theory. Knowledge is missing on how such metrics are comparable to the metrics produced by location-based methods. The objective of the research was to compare both approaches for mapping urban accessibility in two cities in Guatemala. Our hypothesis tested the assumption that Space Syntax metrics could consistently reflect accessibility conditions that so far have only been measured by location-based methods. We proposed an approach using volunteered geo-information and produced accessibility maps following both approaches that were then compared using Pearson correlations. Space Syntax metrics at low and high radii are consistently correlated with location-based access to land uses that reflect location quality at neighbourhood and city-wide scale correspondingly. Space Syntax metrics at lower radii reflect time-based access restrictions either posed in the location-based analyses or by reduced accessibility by public transport. The hypothesis acceptance, p < 0.01, expands the scope of accessibility knowledge derivable from limited data availability using Space Syntax, which is relevant for its applicability in data-scarce contexts by planners and researchers in the Global South. Rather than replacing location-based methods Space Syntax offers an important complementary measure to geographical accessibility. This having been said, Space Syntax could contribute to early-stage planning by gaining overall insights into patterns of urban access.
      PubDate: 2017-10-02
      DOI: 10.1007/s12061-017-9239-1
       
  • The Cost of School Consolidation Policy: Implications from Decomposing
           School Commuting Distances in Yanqing, Beijing
    • Authors: Te-qi Dai; Liang Wang; Yu-chao Zhang; Cong Liao; Zheng-bing Liu
      Abstract: Abstract School consolidation may be an effective policy option in regions where demand for schooling is thin—after taking into account its effects on the school commuting distance, the education quality and economies of scale. The effects of consolidation on the educational quality and the economies of scale have been well researched; but studies on the commuting distance are limited in scope because they usually rely on comparing distances pre- and post-consolidation—which may exaggerate the consolidation’s effect. In this study, optimization approaches are used to decompose school commuting distances at Yanqing, Beijing, based on survey data. The costs of long-distance school commuting as a result of consolidation are estimated after decomposing the effects of school districting, school location and financial stimulation. The findings indicate that these factors contribute significantly to pupils’ long travel distance, and the negative effect of consolidation on school size standardization is exaggerated. These results imply that long-distance school commuting should not be the rationale for a suspension of the central government’s consolidation policy.
      PubDate: 2017-09-26
      DOI: 10.1007/s12061-017-9238-2
       
  • Can Urban Lake Recreational Pressure Be Measured' The Impacts of
           Urbanization on Wuhan’s Lakes
    • Authors: Yan Gao; Zutao Deng; Alastair M. Morrison
      Abstract: Abstract Recreational activities are becoming one of the most important functions of urban lakes, but the pressure caused by increasing use has not been given adequate research attention. With Wuhan in Hubei, China as the case study, this research applies ArcGis10.2 network analysis function in an accessibility analysis of its urban lakes. Lake recreational pressure (LRP) is measured by integrating the accessibility analysis with Kriging Interpolation results of the population density spatial distribution of 90 center city streets and the travel rate (TR) formula (adapted from Koch 1978). The results show that 96% of the total area of Wuhan’s lakes are reachable within 15 min, but this good accessibility leads to higher recreational pressure. Traffic accessibility and population density were positively correlated to lake recreational pressure. Wuhan’s urban lakes were divided into five categories by the lake recreational pressure index (LRPI). A lake pressure mitigation strategy is suggested, with the management, ecological conservation, recreational development, and spatial configuration being guided by the LRPI grades of each lake.
      PubDate: 2017-09-25
      DOI: 10.1007/s12061-017-9241-7
       
  • Improving Gender Equality in Higher Education in Turkey
    • Authors: Semra Gunay Aktas; Evrim Genc Kumtepe; Yeliz Mert Kantar; Ibrahim Cemil Ulukan; Sinan Aydin; Talha Aksoy; Fikret Er
      Abstract: Abstract Women’s representation in education-especially in higher education- is an important part of broader gender equity discussions. The gender imbalance in education is not a new issue; and Turkey is no exception. In fact, this has been the subject of an ongoing debate for years throughout the world. Governments from all around the world try to enhance gender equity in education, along with other facets of the issue, such as economical, social, work, etc. Since its inception, Turkey’s largest distance education provider Anadolu University, even though it is not an intended institutional policy, contribute to enhance the equal representation of both men and women in higher education. The study specifically aimed at to assess how gender ratio has evolved over 32 years, whether spatial clustering exists within the gender data around the country, and to what extent women were represented in higher education programs. To answer these queries, gender ratio datasets were examined using visual (mapping) and spatial cluster analyses. Findings support that, distant programs of the university have helped more women participate in higher education programs across the country over the years, leading to relatively more normalized distribution of gender in education across the geographical regions. Findings are encouraging for the University administration towards tailoring programs to attract more women, and the disadvantaged groups into the academic programs. Also, fee and payment structures of the courses can be re-aligned to better serve disadvantaged regions of the country. In addition, institutions all around the world providing mass distance education can review Anadolu University’s cost and program structure to create their own structures to enhance their gender equality issues in education.
      PubDate: 2017-09-22
      DOI: 10.1007/s12061-017-9235-5
       
  • Violence and Local Development in Fortaleza, Brazil: A Spatial Regression
           Analysis
    • Authors: Victor Hugo de Oliveira; Cleyber Nascimento de Medeiros; José Raimundo Carvalho
      Abstract: Abstract Fortaleza is the fifth largest city of Brazil, and has become the most violent state capital in the last years. In this paper, we investigate whether violent crime rates are associated with the local development of the city. Using an unexplored data source about georeferenced murders and deaths due to bodily injury and theft, we show that violent crime rates exhibit a positive spatial dependence across clusters of census tracts. In other words, small urban areas with high (low) violent crime rates have neighbors, on average, with similar pattern of violent crime rates. Investigating the relationship between violent crime rates and variables associated with local development, spatial regressions suggest that high violent crime rates are related with low-income neighborhood, with high spatial isolation of poor households, low access to urban infrastructure, and high prevalence of illiterate adolescents and young black males. The study also provides important evidence about spillover effects that helps to understand how the absence of local development can expose neighbors to violence.
      PubDate: 2017-09-20
      DOI: 10.1007/s12061-017-9236-4
       
 
 
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