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  Subjects -> GEOGRAPHY (Total: 493 journals)
Showing 1 - 200 of 277 Journals sorted by number of followers
Geophysical Research Letters     Full-text available via subscription   (Followers: 184)
Journal of Geophysical Research : Space Physics     Full-text available via subscription   (Followers: 159)
Journal of Geophysical Research : Atmospheres     Partially Free   (Followers: 149)
Journal of Geophysical Research : Planets     Full-text available via subscription   (Followers: 143)
Remote Sensing of Environment     Hybrid Journal   (Followers: 96)
Antipode     Hybrid Journal   (Followers: 65)
Journal of Geophysical Research : Earth Surface     Partially Free   (Followers: 60)
Journal of Geophysical Research : Oceans     Partially Free   (Followers: 60)
Progress in Human Geography     Hybrid Journal   (Followers: 60)
Journal of Geophysical Research : Solid Earth     Full-text available via subscription   (Followers: 58)
International Journal of Geographical Information Science     Hybrid Journal   (Followers: 56)
GIScience & Remote Sensing     Open Access   (Followers: 54)
Journal of Water and Climate Change     Open Access   (Followers: 53)
Climate Change Economics     Hybrid Journal   (Followers: 50)
Reviews of Geophysics     Full-text available via subscription   (Followers: 49)
Remote Sensing Letters     Hybrid Journal   (Followers: 45)
Annals of the American Association of Geographers     Hybrid Journal   (Followers: 43)
Economic Geography     Hybrid Journal   (Followers: 42)
Applied Geography     Hybrid Journal   (Followers: 39)
Climate and Development     Hybrid Journal   (Followers: 34)
Urban Geography     Hybrid Journal   (Followers: 34)
Journal of Geophysical Research : Biogeosciences     Full-text available via subscription   (Followers: 34)
Geochemistry, Geophysics, Geosystems     Full-text available via subscription   (Followers: 34)
Annals of GIS     Open Access   (Followers: 31)
Journal of Coastal Research     Hybrid Journal   (Followers: 31)
Cartography and Geographic Information Science     Hybrid Journal   (Followers: 31)
GPS Solutions     Hybrid Journal   (Followers: 28)
Transactions of the Institute of British Geographers     Hybrid Journal   (Followers: 27)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 24)
Journal of the Middle East and Africa     Hybrid Journal   (Followers: 23)
Dialogues in Human Geography     Hybrid Journal   (Followers: 20)
China : An International Journal     Full-text available via subscription   (Followers: 20)
Urban Research & Practice     Hybrid Journal   (Followers: 20)
Imago Mundi: The International Journal for the History of Cartography     Hybrid Journal   (Followers: 20)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 19)
Atmospheric Measurement Techniques (AMT)     Open Access   (Followers: 19)
Water International     Hybrid Journal   (Followers: 19)
Journal of the American Planning Association     Hybrid Journal   (Followers: 19)
Geography Compass     Hybrid Journal   (Followers: 18)
Journal of Cultural Geography     Hybrid Journal   (Followers: 18)
Cartographica : The International Journal for Geographic Information and Geovisualization     Full-text available via subscription   (Followers: 17)
Professional Geographer     Hybrid Journal   (Followers: 17)
Africa Insight     Full-text available via subscription   (Followers: 16)
Crossings : Journal of Migration & Culture     Hybrid Journal   (Followers: 16)
The Geographical Journal     Hybrid Journal   (Followers: 16)
International Geology Review     Hybrid Journal   (Followers: 16)
Computational Geosciences     Hybrid Journal   (Followers: 15)
Tectonics     Full-text available via subscription   (Followers: 15)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 14)
American Journal of Geographic Information System     Open Access   (Followers: 14)
Annual Review of Marine Science     Full-text available via subscription   (Followers: 13)
Buildings & Landscapes: Journal of the Vernacular Architecture Forum     Full-text available via subscription   (Followers: 13)
Progress in Physical Geography     Hybrid Journal   (Followers: 13)
International Indigenous Policy Journal     Open Access   (Followers: 13)
Geographical Review     Hybrid Journal   (Followers: 13)
Bulletin of Geosciences     Open Access   (Followers: 12)
Geographical Analysis     Hybrid Journal   (Followers: 11)
Journal of Geography     Hybrid Journal   (Followers: 11)
Geosciences Journal     Hybrid Journal   (Followers: 11)
Geographical Research     Hybrid Journal   (Followers: 11)
Canadian Journal of Soil Science     Full-text available via subscription   (Followers: 11)
GeoJournal     Hybrid Journal   (Followers: 11)
American Journal of Human Ecology     Open Access   (Followers: 11)
Geography and Natural Resources     Hybrid Journal   (Followers: 10)
European Spatial Research and Policy     Open Access   (Followers: 9)
Cartographic Journal     Hybrid Journal   (Followers: 9)
Atmospheric Measurement Techniques Discussions (AMTD)     Open Access   (Followers: 9)
Journal of Iberian and Latin American Research     Hybrid Journal   (Followers: 8)
Physical Geography     Hybrid Journal   (Followers: 8)
International Journal of Health Geographics     Open Access   (Followers: 8)
Natural Science     Open Access   (Followers: 8)
Middle East Development Journal     Hybrid Journal   (Followers: 8)
Journal of Borderlands Studies     Hybrid Journal   (Followers: 8)
Journal of Geographical Systems     Hybrid Journal   (Followers: 8)
International Journal of Applied Geospatial Research     Hybrid Journal   (Followers: 8)
Urban History Review / Revue d'histoire urbaine     Full-text available via subscription   (Followers: 7)
Journal of Latin American Geography     Full-text available via subscription   (Followers: 7)
California Italian Studies Journal     Full-text available via subscription   (Followers: 7)
Geo-spatial Information Science     Open Access   (Followers: 7)
Nordic Journal of Migration Research     Open Access   (Followers: 7)
Journal of Maps     Open Access   (Followers: 7)
Social Geography Discussions (SGD)     Open Access   (Followers: 7)
GeoInformatica     Hybrid Journal   (Followers: 7)
Northern Scotland     Hybrid Journal   (Followers: 6)
Asia Policy     Full-text available via subscription   (Followers: 6)
Australian Geographer     Hybrid Journal   (Followers: 6)
Singapore Journal of Tropical Geography     Hybrid Journal   (Followers: 6)
Ocean Science Journal     Hybrid Journal   (Followers: 6)
The Canadian Geographer/le Geographe Canadien     Hybrid Journal   (Followers: 6)
Creativity Studies     Open Access   (Followers: 5)
Australian Antarctic Magazine     Free   (Followers: 5)
Focus on Geography     Partially Free   (Followers: 5)
Journal of Developmental Entrepreneurship     Hybrid Journal   (Followers: 5)
Asian Geographer     Hybrid Journal   (Followers: 5)
Current Research in Geoscience     Open Access   (Followers: 5)
Journal of Australian Studies     Hybrid Journal   (Followers: 5)
ISPRS International Journal of Geo-Information     Open Access   (Followers: 5)
Journal of Map & Geography Libraries     Hybrid Journal   (Followers: 5)
Transmodernity : Journal of Peripheral Cultural Production of the Luso-Hispanic World     Open Access   (Followers: 4)
Applied Geomatics     Hybrid Journal   (Followers: 4)
Latinoamérica. Revista de estudios Latinoamericanos     Open Access   (Followers: 4)
Bulletin of the Ecological Society of America     Open Access   (Followers: 4)
Geografiska Annaler, Series A : Physical Geography     Hybrid Journal   (Followers: 4)
Globe, The     Full-text available via subscription   (Followers: 4)
Genre & histoire     Open Access   (Followers: 4)
Journal of Sedimentary Research     Hybrid Journal   (Followers: 4)
Southeastern Europe     Hybrid Journal   (Followers: 3)
Bulletin of Geography. Socio-economic Series     Open Access   (Followers: 3)
Limnological Review     Open Access   (Followers: 3)
Interaction     Full-text available via subscription   (Followers: 3)
Journal of Western Archives     Open Access   (Followers: 3)
Économie rurale     Open Access   (Followers: 3)
Social Dynamics: A journal of African studies     Hybrid Journal   (Followers: 3)
New Zealand Journal of Geography     Hybrid Journal   (Followers: 3)
Journal of Burma Studies     Full-text available via subscription   (Followers: 3)
South Asian Diaspora     Hybrid Journal   (Followers: 3)
All Earth     Open Access   (Followers: 3)
Lithosphere     Open Access   (Followers: 3)
International Journal of Image and Data Fusion     Hybrid Journal   (Followers: 3)
Polar Research     Open Access   (Followers: 3)
History of Geo- and Space Sciences     Open Access   (Followers: 2)
Journal of Earthquake and Tsunami     Hybrid Journal   (Followers: 2)
Pastoralism : Research, Policy and Practice     Open Access   (Followers: 2)
Standort - Zeitschrift für angewandte Geographie     Hybrid Journal   (Followers: 2)
Norois     Open Access   (Followers: 2)
Geodesy and Cartography     Open Access   (Followers: 2)
Eastern European Countryside     Open Access   (Followers: 2)
Mineralogia     Open Access   (Followers: 2)
Regions and Cohesion     Open Access   (Followers: 2)
Polar Geography     Hybrid Journal   (Followers: 2)
Southeastern Geographer     Full-text available via subscription   (Followers: 2)
BioRisk     Open Access   (Followers: 2)
Norsk Geografisk Tidsskrift - Norwegian Journal of Geography     Hybrid Journal   (Followers: 2)
Scottish Geographical Journal     Hybrid Journal   (Followers: 2)
Geosphere     Open Access   (Followers: 2)
Études rurales     Open Access   (Followers: 2)
Yearbook of the Association of Pacific Coast Geographers     Full-text available via subscription   (Followers: 2)
Polar Journal     Hybrid Journal   (Followers: 2)
Newfoundland and Labrador Studies     Full-text available via subscription   (Followers: 2)
Regional Science Policy & Practice     Hybrid Journal   (Followers: 2)
Provincial China     Hybrid Journal   (Followers: 2)
Geographical Education     Full-text available via subscription   (Followers: 2)
Cahiers franco-canadiens de l'Ouest     Full-text available via subscription   (Followers: 2)
The South Asianist     Open Access   (Followers: 2)
Reflets : revue d'intervention sociale et communautaire     Full-text available via subscription   (Followers: 2)
Maine Policy Review     Open Access   (Followers: 2)
Revista de Geografía Norte Grande     Open Access   (Followers: 1)
Geoforum Perspektiv     Open Access   (Followers: 1)
Estudios Geográficos     Open Access   (Followers: 1)
PRISM : A Journal of Regional Engagement     Open Access   (Followers: 1)
Norteamérica     Open Access   (Followers: 1)
Amerika     Open Access   (Followers: 1)
L'Année du Maghreb     Open Access   (Followers: 1)
Indiana     Open Access   (Followers: 1)
Les Cahiers d'Outre-Mer     Open Access   (Followers: 1)
Journal of the Southwest     Full-text available via subscription   (Followers: 1)
Revue archéologique du Centre de la France     Open Access   (Followers: 1)
Journal of Terrestrial Observation     Open Access   (Followers: 1)
Méditerranée     Open Access   (Followers: 1)
Journal de la Société des Océanistes     Open Access   (Followers: 1)
Geochronometria     Open Access   (Followers: 1)
South African Geographical Journal     Hybrid Journal   (Followers: 1)
GEM - International Journal on Geomathematics     Hybrid Journal   (Followers: 1)
Terrae Incognitae     Hybrid Journal   (Followers: 1)
International Journal of Bahamian Studies     Open Access   (Followers: 1)
Études internationales     Full-text available via subscription   (Followers: 1)
Recherches sociographiques     Full-text available via subscription   (Followers: 1)
Physio-Géo     Open Access   (Followers: 1)
GEOMATICA     Hybrid Journal   (Followers: 1)
European Countryside     Open Access   (Followers: 1)
PSC Discussion Papers Series     Open Access  
Anales de Geografía de la Universidad Complutense     Open Access  
International Journal of River Basin Management     Hybrid Journal  
Revista Geográfica de América Central     Open Access  
Multiciencias     Open Access  
Investigaciones Geográficas (Esp)     Open Access  
Sociedade & Natureza     Open Access  
Región y Sociedad     Open Access  
Migración y Desarrollo     Open Access  
Migraciones Internacionales     Open Access  
Investigaciones Geográficas     Open Access  
Frontera Norte     Open Access  
Cuadernos de Desarrollo Rural     Open Access  
Boletim de Ciências Geodésicas     Open Access  
Territoire en Mouvement     Open Access  
Quaestiones Geographicae     Open Access  
Limes. Cultural Regionalistics     Open Access  
Preview     Hybrid Journal  
Cuadernos de Geografía : Revista Colombiana de Geografía     Open Access  
Studia Universitatis Babes-Bolyai, Geologia     Open Access  
Recherches amérindiennes au Québec     Full-text available via subscription  
Rabaska : revue d'ethnologie de l'Amérique française     Full-text available via subscription  
Port Acadie : revue interdisciplinaire en études acadiennes / Port Acadie: An Interdisciplinary Review in Acadian Studies     Full-text available via subscription  
Études/Inuit/Studies     Full-text available via subscription  
Aurora Journal     Full-text available via subscription  
Revista de la Asociacion Geologica Argentina     Open Access  
San Francisco Estuary and Watershed Science     Open Access  
Journal of Alpine Research : Revue de géographie alpine     Open Access  
Géocarrefour     Open Access  
Confins     Open Access  

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Similar Journals
Journal Cover
Journal of Geographical Systems
Journal Prestige (SJR): 0.589
Citation Impact (citeScore): 2
Number of Followers: 8  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1435-5949 - ISSN (Online) 1435-5930
Published by Springer-Verlag Homepage  [2469 journals]
  • Rents and wages derived from spatial interaction analysis in Shanghai

    • Free pre-print version: Loading...

      Abstract: Abstract Using the 1% National Population Sampling Survey, collected in 2015, this paper performs sensitivity analysis of the parameters in a spatial interaction model to evaluate and compare the locational benefits of origins and destinations among different hukou (locals and migrants) and educational types in a large Chinese city (Shanghai). While the macro patterns are consistent with other case studies, Shanghai presents some unique features that include residency status and differential educational levels, and these factors result in notable patterns of spatial organization. Compared with migrants, locals have longer trip lengths, and higher rents and wages. Well-educated workers travel longer and have higher rents and wages than the poorly-educated. The presence of high-tech, high-prestige employers (e.g., Huawei) in the east-central area both attracts longer distance educated commuters, as well as generating higher wages, and potentially higher rents for those who choose to live and work in the same area, especially for locals. However, it is reassuring to see that there is a marked rent gradient over the distance from the CBD.
      PubDate: 2022-08-21
       
  • Correction to: An analysis about the accuracy of geographic profiling in
           relation to the number of observations and the buffer zone

    • Free pre-print version: Loading...

      PubDate: 2022-08-06
       
  • Modeling discrete choices with large fine-scale spatial data:
           opportunities and challenges

    • Free pre-print version: Loading...

      Abstract: Abstract Discrete choice models have played a pivotal role in modeling spatial & regional systems in the past few decades. Various extensions for the classic discrete choice models have been developed, including spatial discrete choice models and dynamic discrete choice models. The two categories of models represent methodological developments in the spatial dimension and the temporal dimension of spatial data modeling, respectively. With the growing availability of spatial data in large and more refined scales, spatial and dynamic discrete choice modeling techniques face methodological and computational challenges. By comparing different existing estimation methods, we show that the Bayesian MCMC (Markov chain Monte Carlo) method is the most computationally efficient estimation method for explicitly modeling the spatial relationships with large data sets. As far as dynamic discrete choice models are concerned, most of the existing research effort focuses on improving the model performance in capturing the inter-temporal structures of decision making. In addition, there is an anticipated need to integrate the spatial dimension and the temporal dimension in spatial data modeling. It will require (1) effective solutions to address the computational challenges; and (2) theoretical and methodological innovations in characterizing spatial data processes. We also discussed opportunities and challenges related to empirical analysis with spatial big data, including reviewing several open-source software packages for estimating spatial discrete choice models. Lacking continuous development support and limited applicability are the main issues that prevent them from being widely used.
      PubDate: 2022-08-05
       
  • Introduction to the special issue on scale and spatial analytics

    • Free pre-print version: Loading...

      PubDate: 2022-07-28
      DOI: 10.1007/s10109-022-00391-9
       
  • JGS Editors’ choice article

    • Free pre-print version: Loading...

      PubDate: 2022-07-27
      DOI: 10.1007/s10109-022-00392-8
       
  • Platial mobility: expanding place and mobility in GIS via platio-temporal
           representations and the mobilities paradigm

    • Free pre-print version: Loading...

      Abstract: Abstract While platial representations are being developed for sedentary entities, a parallel and useful endeavor would be to consider time in so-called “platio-temporal” representations that would also expand notions of mobility in GIScience, that are solely dependent on Euclidean space and time. Besides enhancing such aspects of place and mobility via spatio-temporal, we also include human aspects of these representations via considerations of the sociological notions of mobility via the mobilities paradigm that can systematically introduce representation of both platial information along with mobilities associated with ‘moving places.’ We condense these aspects into ‘platial mobility,’ a novel conceptual framework, as an integration in GIScience and the mobilities paradigm in sociology, that denotes movement of places in our platio-temporal and sociology-based representations. As illustrative cases for further study using platial mobility as a framework, we explore its benefits and methodological aspects toward developing better understanding for disaster management, disaster risk reduction and pandemics. We then discuss some of the illustrative use cases to clarify the concept of platial mobility and its application prospects in the areas of disaster management, disaster risk reduction and pandemics. These use cases, which include flood events and the ongoing COVID-19 pandemic, have led to displaced and restricted communities having to change practices and places, which would be particularly amenable to the conceptual framework developed in our work.
      PubDate: 2022-07-16
      DOI: 10.1007/s10109-022-00389-3
       
  • In memoriam: Professor Arthur Getis (July 6, 1934–May 13, 2022)

    • Free pre-print version: Loading...

      PubDate: 2022-07-12
      DOI: 10.1007/s10109-022-00390-w
       
  • The geography of connectivity: a review of mobile positioning data for
           economic geography

    • Free pre-print version: Loading...

      Abstract: Abstract Connectivity between and within places is one of the cornerstones of geography. However, the data and methodologies used to capture connectivity are limited due to the difficulty in gathering and analysing detailed observations in time and space. Mobile phone data potentially offer a rich and unprecedented source of data, which is exhaustive in time and space following movements and communication activities of individuals. This approach to study the connectivity patterns of societies is still rather unexplored in economic geography. However, a substantial body of work in related fields provides methodological and theoretical foundations, which warrant an in-depth review to make it applicable in economic geography. This paper reviews and discusses the state-of-the-art in the analysis of mobile phone and positioning data, with a focus on call detail records. It identifies methodological challenges, elaborates on key findings for geography, and provides an outline for future research on the geography of connectivity.
      PubDate: 2022-07-12
      DOI: 10.1007/s10109-022-00388-4
       
  • Geographically weighted regression with the integration of machine
           learning for spatial prediction

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      Abstract: Abstract Conventional methods of machine learning have been widely used to generate spatial prediction models because such methods can adaptively learn the mapping relationships among spatial data with limited prior knowledge. However, the direct application of these methods to build a global model without considering spatial heterogeneity cannot accurately describe the local relationships among spatial variables, which might lead to inaccurate predictions. To avoid these shortcomings, we have presented a unified framework for handling spatial heterogeneity by incorporating the geographically weighted scheme into machine learning methods. The proposed framework has the potential to extend the existing models of machine learning for analysing heterogeneous spatial data. Furthermore, geographically weighted support vector regression (GWSVR) has been introduced as an implementation of the proposed framework. Experimental studies on environmental datasets were used to test the ability of model predictions. The results show that the mean absolute percentage error, normalized mean square error, and relative error percentage of the GWSVR model are 0.436, 0.903, and 0.558, respectively, when analysing soil metal chromium (Cr) concentrations and 0.221, 0.287, and 0.206, respectively, when predicting PM2.5 concentrations; these values are lower than those obtained using support vector regression, geographically weighted regression (GWR), and GWR-kriging models. These case studies have proved the validity and feasibility of the proposed framework.
      PubDate: 2022-07-03
      DOI: 10.1007/s10109-022-00387-5
       
  • Incorporating neighborhood scale effects into land loss modeling using
           semivariograms

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      Abstract: Abstract Scale effects are pervasive in geospatial modeling and affect the reliability of analysis results. This paper examines the neighborhood scale effects on the performance of land loss models in coastal Louisiana where Lower Mississippi River Basin is located. The study incorporates both natural and human variables and their corresponding neighborhood scale variables into land loss modeling. Semivariogram analysis was used to determine each explanatory variable’s neighborhood size at which the semivariance between sample points begins to level off. A new ‘neighborhood’ variable for each of those variables detected with a neighborhood size was created using the focal statistics to represent the neighborhood scale effects. Two land loss stepwise regression models, one without neighborhood variables and the other with neighborhood variables, were developed to test if incorporating neighborhood scale effects could improve the land loss model performance. Results show that the model’s overall accuracy improved significantly from 65.43 to 74.43% after including the neighborhood variables. Six neighborhood variables, in addition to 14 original variables, were selected as significant predictors of land loss probability. The six neighborhood variables include distance to the coastline, land fragmentation, oil and gas well density, percent of water area, pipeline density, and percent of the vacant house. The analysis shows that including variables representing the scale effects are critical for better performance in land loss modeling. Study findings add new insights into the complex land loss mechanism and help derive more accurate land loss predictions to inform coastal restoration and management decision-making.
      PubDate: 2022-07-01
       
  • Understanding the impact of temporal scale on human movement analytics

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      Abstract: Abstract Movement is manifested through a series of patterns at multiple spatial and temporal scales. Movement data today are becoming available at increasingly fine-grained temporal granularity. These observations often represent multiple behavioral modes and complex patterns along the movement path. However, the relationships between the observation scale of movement data and the analysis scales at which movement patterns are captured remain understudied. This article aims at investigating the role of temporal scale in movement data analytics. It takes up an important question of “how do decisions surrounding the scale of movement data and analyses impact our inferences about movement patterns'” Through a set of computational experiments in the context of human movement, we take a systematic look at the impact of varying temporal scales on common movement analytics techniques including trajectory analytics to calculate movement parameters (e.g., speed, path tortuosity), estimation of individual space usage, and interactions analysis to detect potential contacts between multiple mobile individuals.
      PubDate: 2022-07-01
       
  • Scale and local modeling: new perspectives on the modifiable areal unit
           problem and Simpson’s paradox

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      Abstract: Abstract The concept of ‘spatial scale’, or simply ‘scale’ is implicit in any discussion of global versus local models. The raison d’etre of local models is that a global scale (where here ‘global’ simply refers to all locations within a predefined area of interest) might be the incorrect scale at which to undertake any analysis of spatial processes; the alternative being a local scale (where here ‘local’ refers to individual locations). Here we explore two well-known scale issues in the context of local modeling: the modifiable areal unit problem (MAUP) and Simpson’s paradox. In doing so, we highlight that scale effects play two very different roles in any consideration of local versus global modeling. First, we examine the sensitivity of global and local models to the MAUP and show how the effects of the MAUP in global models are a function of the degree to which processes vary over space. This generates a new insight into the MAUP: it results from the properties of processes rather than the properties of data. Then we highlight the extreme differences that can result when calibrating global and local models and how Simpson’s paradox can arise in this context. In the examination of the MAUP, scale is treated as a measure of the degree to which data are aggregated prior to any form of modeling; in the study of Simpson’s paradox, scale refers to the geographical entity for which a model is calibrated.
      PubDate: 2022-07-01
       
  • Paper2GIS: improving accessibility without limiting analytical potential
           in Participatory Mapping

    • Free pre-print version: Loading...

      Abstract: Abstract Participatory Mapping encompasses a broad spectrum of methods, each with advantages and limitations that can influence the degree to which the target audience is able to participate and the veracity of the data collected. Whilst being an efficient means to gather spatial data, the accessibility of online methods is limited by digital divides. Conversely, whilst non-digital approaches are more accessible to participants, data collected in this way are typically more challenging to analyse and often necessitate researcher interpretation, limiting their use in decision-making. We therefore present ‘Paper2GIS’, a novel sketch mapping tool that automatically extracts mark-up drawn onto paper maps and stores it in a geospatial database. The approach embodied in our tool simultaneously limits the technical burden placed on the participant and generates data comparable to that of a digital system without the subjectivity of manual digitisation. This improves accessibility, whilst simultaneously facilitating spatial analyses that are usually not possible with paper-based mapping exercises. A case study is presented to address two energy planning questions of the residents in the Outer Hebrides, UK. The results demonstrate that accessibility can be improved without impacting the potential for spatial analysis, widening participation to further democratise decision-making.
      PubDate: 2022-07-01
      DOI: 10.1007/s10109-022-00386-6
       
  • A cluster-driven classification approach to truck stop location
           identification using passive GPS data

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      Abstract: Abstract Classifying the type of truck stops is vital in transportation planning and goods movement strategies. Truck stops could be classified into primary or secondary. While the latter entail stopping to re-fuel or rest, the former takes place to deliver or pick up merchandize. The availability of GPS transponders on board moving trucks and the ability to access such information in recent years has made it possible to analyze various freight aspects including movement trajectories and stopped locations. This paper utilizes machine learning methods and proposes a two-step cluster-based classification approach to classify truck stop locations into either primary or secondary. The DBSCAN clustering technique is applied on the GPS dataset to obtain stop locations. Next, several features per location are derived to classify the stops using well-known classification models. The generated information is then used to evaluate the approach using a large truck GPS dataset for the year 2016. The Random Forest classifier is chosen as it can identify primary stop locations with an accuracy of 97%. The overall accuracy of the classifier for correctly identifying both types of stops is 83%. Further, the prediction accuracy for primary stops is 92%.
      PubDate: 2022-06-11
      DOI: 10.1007/s10109-022-00380-y
       
  • A scoping review on the multiplicity of scale in spatial analysis

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      Abstract: Scale is a central concept in the geographical sciences and is an intrinsic property of many spatial systems. It also serves as an essential thread in the fabric of many other physical and social sciences, which has contributed to the use of different terminology for similar manifestations of what we refer to as ‘scale’, leading to a surprising amount of diversity around this fundamental concept and its various ‘multiscale’ extensions. To address this, we review common abstractions about spatial scale and how they are employed in quantitative research. We also explore areas where the conceptualizations of multiple spatial scales can be differentiated. This is achieved by first bridging terminology and concepts, and then conducting a scoping review of the topic. A typology for spatial scale is discussed that can be used to categorize its multifarious meanings and measures. This typology is then used to distinguish what we term ‘process scale,’ from other types of spatial scale and to highlight current trends in uncovering aspects of process scale. We end with suggestions on how to further build knowledge regarding spatial processes through the lens of spatial scale.
      PubDate: 2022-06-09
      DOI: 10.1007/s10109-022-00384-8
       
  • An analysis about the accuracy of geographic profiling in relation to the
           number of observations and the buffer zone

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      Abstract: Abstract Geographic Profiling (GP) attempts to reconstruct the spreading centre of a series of events due to the same cause. The result of the analysis provides an approximated localization of the spreading centre within an area (often represented as a red red), where the probability of finding it is higher than a given threshold (typically 95%). The analysis has as an assumption that the events will be likely to occur at very low probability around the spreading centre, in a ring-shaped zone called the buffer zone. Obvious examples are series of crimes perpetrated by an offender (unwilling to perpetrate offences close to home), or the localities of spread of an invasive species, where the buffer zone, if present, depends on the biological features of the species. Our first aim was to show how the addition of new events may change the preliminary approximate localization of the spreading centre. The analyses of the simulated data showed that if B, the parameter used to represent the radius of the buffer zone, varies within a range of 10% from the real value, after a low number of events (7–8), the method yields converging results in terms of distance between the barycentre of the red zone and the “real” user provided spreading centre of a simulated data set. The convergence occurs more slowly with the increase in inaccuracy of B. These results provide further validity to the method of the GP, showing that even an approximate choice of the B value can be sufficient for an accurate location of the spreading centre. The results allow also to quantify how many samples are needed in relation to the uncertainty of the chosen parameters, to obtain feasible results.
      PubDate: 2022-06-09
      DOI: 10.1007/s10109-022-00379-5
       
  • Accessibility analysis of urban fire stations within communities: a
           fine-scale perspective

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      Abstract: Abstract In recent years, with the rapid expansion of urban space and the explosion of population within communities in China, fire stations face challenges in providing timely response to potential demands throughout their service coverage. To ensure speedy and equitable provision of fire services, it is essential to evaluate the accessibility of fire stations under the current fire service systems. Traditional accessibility analysis is often based on the aggregated large areal units, such as the census tracks, failing to assess accessibility of individual buildings. In this regard, this study seeks to analyze potential accessibility to urban fire stations at a fine scale, i.e., the building level, and to provide valuable information to assist in strategic planning of fire stations in urban areas and within local communities. Because the detailed intra-community roads are not stored in the official city map database, we propose to use a classic GIS technology, the Delaunay triangulation model, to automatically extract the intra-community roads from building footprints. With these private roads integrated into the existing city roads, a simulated road network is constructed. Then, the Voronoi-based method and buffering method are used to assess accessibility to urban fire stations. Results reveal that the current layout of fire stations in the study area is not sufficient to achieve a complete coverage of potential demands in the stipulated time, and the traditional central areas enjoy better access to fire services compared to the periphery areas. The building-level analyses will not only enable decision-makers to strategically allocate new fire stations in the urban areas, but also help local authorities to enhance fire safety management within the community. The proposed method can also be applied to fine-scale analysis of neighborhood services’ accessibility in other cities.
      PubDate: 2022-05-24
      DOI: 10.1007/s10109-022-00381-x
       
  • Detecting space–time patterns of disease risk under dynamic
           background population

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      Abstract: Abstract We are able to collect vast quantities of spatiotemporal data due to recent technological advances. Exploratory space–time data analysis approaches can facilitate the detection of patterns and formation of hypotheses about their driving processes. However, geographic patterns of social phenomena like crime or disease are driven by the underlying population. This research aims for incorporating temporal population dynamics into spatial analysis, a key omission of previous methods. As population data are becoming available at finer spatial and temporal granularity, we are increasingly able to capture the dynamic patterns of human activity. In this paper, we modify the space–time kernel density estimation method by accounting for spatially and temporally dynamic background populations (ST-DB), assess the benefits of considering the temporal dimension and finally, compare ST-DB to its purely spatial counterpart. We delineate clusters and compare them, as well as their significance, across multiple parameter configurations. We apply ST-DB to an outbreak of dengue fever in Cali, Colombia during 2010–2011. Our results show that incorporating the temporal dimension improves our ability to delineate significant clusters. This study addresses an urgent need in the spatiotemporal analysis literature by using population data at high spatial and temporal resolutions.
      PubDate: 2022-04-20
      DOI: 10.1007/s10109-022-00377-7
       
  • Embedding scale: new thinking of scale in machine learning and geographic
           representation

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      Abstract: Abstract Concepts of scale are at the heart of diverse scientific endeavors that seek to understand processes and how observations and analyses influence our understanding. While disciplinary discretions exist, researchers commonly devise spatial, temporal, and organizational scales in scoping phenomena of interest and determining measurements and representational frameworks in research design. The rise of the Fourth Paradigm for science drives data-intensive computing without preconceived notions regarding at what scale the phenomena or processes of interest operate, or at which level of details meaningful patterns may emerge. While scale is the a priori consideration for theory-driven research to seek ontological and relational affirmations, big data analytics and machine learning embed scale in algorithms and model outputs. In this paper, we examine embedded scale in data-driven machine learning research, connect the embedding scale to scale operating in the general theory of geographic representation in GIS and scaffold our arguments with a study of using machine learning to detect archeological features in drone-collected high-density images.
      PubDate: 2022-04-15
      DOI: 10.1007/s10109-022-00378-6
       
  • Urbanization and child growth failure in Sub-Saharan Africa: a
           geographical analysis

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      Abstract: Abstract This paper raises a fundamental question about Sub-Saharan Africa: has urbanization there been accompanied by improvements in personal wellbeing' It then proceeds to open an investigation focused on child health—in the form of child growth failure, including (i) stunting; (ii) wasting; and (iii) underweight—that addresses the question. The main contribution of the work is to reconcile an array of data, collected across different spatial scales and over different timeframes, in a manner that enables some preliminary insight into the relationships explored. Evidence derived from the analysis suggests that the wave of urbanization breaking across Sub-Saharan Africa is associated with improvements in wellbeing, a finding that is qualified by need for further research.
      PubDate: 2022-04-12
      DOI: 10.1007/s10109-022-00374-w
       
 
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