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  • A modular graph transformation rule set for IFC‐to‐CityGML conversion
    Trans. GIS (IF 2.119) Pub Date : 2021-01-20
    Helga Tauscher; Joie Lim; Rudi Stouffs

    Conversion of Industry Foundation Classes (IFC) building models into CityGML city models is one of the operational scenarios for BIM–GIS integration, with a variety of applications producing and consuming data on either side. Given the in‐depth cross‐domain knowledge required to specify such conversions, the heterogeneity of the IFC input data and the use cases for the resulting CityGML, flexible and

  • Analyzing the association between emotions and socioeconomic characteristics of census tracts via user‐generated content
    Trans. GIS (IF 2.119) Pub Date : 2021-01-18
    Xinkai Yu; Teng Fei; Xiang Li

    Environmental and socioeconomic characteristics of places continuously influence human emotions. To understand the quality of human life, human emotions must be effectively evaluated and their connections with socioeconomic characteristics must be determined. Social computing tools can extract emotional information from massive user‐generated content (UGC); thus, we proposed an approach that correlates

  • A scoping review on the use, processing and fusion of geographic data in virtual assistants
    Trans. GIS (IF 2.119) Pub Date : 2021-01-05
    Carlos Granell; Paola G. Pesántez‐Cabrera; Luis M. Vilches‐Blázquez; Rosario Achig; Miguel R. Luaces; Alejandro Cortiñas‐Álvarez; Carolina Chayle; Villie Morocho

    Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents

  • Reference study of IFC software support: The GeoBIM benchmark 2019—Part I
    Trans. GIS (IF 2.119) Pub Date : 2021-01-02
    Francesca Noardo; Thomas Krijnen; Ken Arroyo Ohori; Filip Biljecki; Claire Ellul; Lars Harrie; Helen Eriksson; Lorenzo Polia; Nebras Salheb; Helga Tauscher; Jordi van Liempt; Hendrik Goerne; Dean Hintz; Tim Kaiser; Cristina Leoni; Artur Warchol; Jantien Stoter

    Industry Foundation Classes (IFC), the buildingSMART open standard for BIM, is underused with respect to its promising potential, since, according to the experience of practitioners and researchers working with BIM, issues in the standard’s implementation and use prevent its effective use. Nevertheless, a systematic investigation of these issues has never been carried out, and there is thus insufficient

  • Improving trajectory estimation using 3D city models and kinematic point clouds
    Trans. GIS (IF 2.119) Pub Date : 2021-01-02
    Lukas Lucks; Lasse Klingbeil; Lutz Plümer; Youness Dehbi

    Accurate and robust positioning of vehicles in urban environments is of high importance for autonomous driving or mobile mapping. In mobile mapping systems, a simultaneous mapping of the environment using laser scanning and an accurate positioning using global navigation satellite systems are targeted. This requirement is often not guaranteed in shadowed cities where global navigation satellite system

  • Network optimization approach to delineating health care service areas: Spatially constrained Louvain and Leiden algorithms
    Trans. GIS (IF 2.119) Pub Date : 2020-12-30
    Changzhen Wang; Fahui Wang; Tracy Onega

    Constructing service areas is an important task for evaluating geographic variations of health care markets. This study uses cancer care as an example to illustrate the methodology, with the nine‐state Northeast Region of the USA as the study area. Two recent algorithms of network community detection are implemented to account for additional constraints such as spatial connectivity and threshold region

  • Detecting statistically significant geographical anomalous regions from spatial sampling points by coupling Gaussian function and multidirectional optimization
    Trans. GIS (IF 2.119) Pub Date : 2020-12-30
    Xuexi Yang; Min Deng; Yan Shi; Jianbo Tang; Zhou Huang; Yu Liu

    An anomalous geographical region refers to a collection of spatially aggregated objects whose non‐spatial attribute values are significantly inconsistent with those of their spatial neighbors. The detection of anomalous regions plays an important role in spatial data mining. However, the requirement of user‐specified parameters for spatial neighborhood construction and anomalous region discovery will

  • Models of cultural heritage buildings in a procedurally generated geospatial environment
    Trans. GIS (IF 2.119) Pub Date : 2020-12-30
    Pavel Tobiáš; Jiří Cajthaml

    This article presents a methodology combining building information modelling, CAD, procedural modelling, 3D GIS, and digital cartography to create information models of cultural heritage buildings and their geospatial environments both in history and nowadays. The results of the workflow are 3D web scenes where the most historically significant buildings are presented as detailed 3D textured information

  • Measuring rural access for SDG 9.1.1
    Trans. GIS (IF 2.119) Pub Date : 2020-12-23
    Robin Workman; Kevin McPherson

    The Rural Access Index is a measure of access developed by the World Bank and has been incorporated into the Sustainable Development Goals (SDGs) as indicator 9.1.1. This measures the proportion of the rural population living within 2 km of an all‐season road, using GIS layers and relying on three data sources: population, road network location and condition. Open GIS data are used for population and

  • Prediction of tourist flow based on multi‐source traffic data in scenic spot
    Trans. GIS (IF 2.119) Pub Date : 2020-12-23
    Hao Lu; Jianqin Zhang; Zhijie Xu; Ruixuan Shi; Jiachuan Wang; Shishuo Xu

    At present, China's tourism industry has entered an era of rapid development. It is of great significance to predict the precise and real‐time tourist flow of the popular tourist areas with dense crowds, providing decision support for rational evacuation of tourist flow, activation of emergency plans, and prevention of security accidents. This article presents a long short‐term memory (LSTM) neural

  • Combining favorability modeling with collaborative geo‐visual analysis to improve agricultural pest management
    Trans. GIS (IF 2.119) Pub Date : 2020-12-02
    Gustavo Adolfo García‐Chapeton; Albertus G. Toxopeus; Jesús Olivero; Frank O. Ostermann; Rolf A. de By

    In this article, we explore the potential of combining favorability modeling with collaborative geo‐visual analysis to determine when and where to apply countermeasures for the olive fruit fly. The favorability function estimates locations and times at which the conditions favor a species exceeding acceptable abundance levels, thus becoming a pest. We built two models based on monitoring data for the

  • Modeling the geospatial dynamics of residential segregation in three Canadian cities: An agent‐based approach
    Trans. GIS (IF 2.119) Pub Date : 2020-12-02
    Taylor Anderson; Aaron Leung; Suzana Dragicevic; Liliana Perez

    Long‐term residential segregation can exacerbate social inequality and exclusion in urban populations. Existing models of segregation aim to represent and better understand drivers of segregation and assess possible segregation effects in response to incoming immigrant populations. However, these studies are not typically implemented on real geospatial data to represent the urban environment, and even

  • Reference study of CityGML software support: The GeoBIM benchmark 2019—Part II
    Trans. GIS (IF 2.119) Pub Date : 2020-11-30
    Francesca Noardo; Ken Arroyo Ohori; Filip Biljecki; Claire Ellul; Lars Harrie; Thomas Krijnen; Helen Eriksson; Jordi van Liempt; Maria Pla; Antonio Ruiz; Dean Hintz; Nina Krueger; Cristina Leoni; Leire Leoz; Diana Moraru; Stelios Vitalis; Philipp Willkomm; Jantien Stoter

    OGC CityGML is an open standard for 3D city models intended to foster interoperability and support various applications. However, through our practical experience and discussions with practitioners, we have noticed several problems related to the implementation of the standard and the use of standardized data. Nevertheless, a systematic investigation of these issues has never been carried out, and

  • Swarm‐based optimizer for convolutional neural network: An application for flood susceptibility mapping
    Trans. GIS (IF 2.119) Pub Date : 2020-11-30
    Tien‐Yin Chou; Thanh‐Van Hoang; Yao‐Min Fang; Quoc‐Huy Nguyen; Tuan Anh Lai; Van‐Manh Pham; Van‐Manh Vu; Quang‐Thanh Bui

    This article investigates the use of the galactic swarm optimization algorithm in searching for parameters of a convolutional neural network for flood susceptibility mapping. Ha Giang province, the mountainous area of Vietnam, was chosen as a case study because of the frequent occurrence of floods. From this study area, 11 predictor variables and historical flood locations were selected to build up

  • A comparison of proximity and accessibility drivers in simulating dynamic urban growth
    Trans. GIS (IF 2.119) Pub Date : 2020-11-26
    Rong Wang; Yongjiu Feng; Yongliang Wei; Xiaohua Tong; Shuting Zhai; Yilun Zhou; Peiqi Wu

    Dynamic urban growth is affected by various driving factors which are important for building cellular automata (CA) models. Two categories of urban‐growth drivers (i.e., proximity and accessibility) have not been well differentiated in simulating urban patterns. We built two CA models (Pro‐CAPSO and Acc‐CAPSO) using particle swarm optimization (PSO) incorporating the proximity and accessibility drivers

  • Emergency response with mobile geosocial sensing in the post‐app era
    Trans. GIS (IF 2.119) Pub Date : 2020-11-25
    Feyzi Çelik Yılankıran; Caner Guney

    Disaster and emergency management is inherently a spatial problem. In case of disaster, the use of real‐time location‐based social media posts within the spatial decision support processes has great potential so that resource distribution can be planned, damage areas can be determined, the amount of damage can be estimated, and evacuation and/or help routes can be defined. Crowdsourced data and collaborative

  • “GIS works!”—But why, how, and for whom? Findings from a systematic review
    Trans. GIS (IF 2.119) Pub Date : 2020-11-24
    Uwe Schulze

    This article presents the findings from systematically reviewing 26 empirical research studies published from 2005 to 2014 on the use of GIS for learning and teaching. By employing methods of narrative synthesis and qualitative content analysis, the study gives evidence about the state of knowledge of competence‐based GIS education. The results explain what factors and variables effect GIS learning

  • Important considerations about space‐time data: Modeling, scrutiny, and ratification
    Trans. GIS (IF 2.119) Pub Date : 2020-11-23
    Daniel A. Griffith

    Space‐time data are becoming more abundant as time goes by, with hands‐on interest in them becoming more prevalent. These data have a very sensitive ordering in space and time, one that the simplest of recording errors can scramble. These data are also complex, containing both spatial and temporal autocorrelation coupled with their interaction. One goal of many researchers is to disentangle and account

  • Volunteer reputation determination in crowdsourcing projects using latent class analysis
    Trans. GIS (IF 2.119) Pub Date : 2020-11-20
    Kealeboga Moreri

    The production of information in crowdsourcing projects from multiple, often unorganized, individuals makes it a challenge to assess the value of volunteers' contributions. Moreover, measures of how the reliability and credibility of this information can be established, based on a contributor’s reputation, remain a challenge. Statistical methods can be used to develop quantitative indicators that

  • Spatio‐temporal patterns of malaria incidence in Rwanda
    Trans. GIS (IF 2.119) Pub Date : 2020-11-16
    Jean P. Bizimana; Gilbert Nduwayezu

    Given the scarcity of resources in developing countries like Rwanda, malaria control requires new strategies that target specific populations, time periods and geographical areas. While the spatial pattern of malaria incidence varies depending on local conditions, its temporal evolution has yet to be evaluated in Rwanda. The aim of this study was to determine the spatio‐temporal dynamics of malaria

  • Which quality is a route? A methodology for assessing route quality using spatio‐temporal metrics
    Trans. GIS (IF 2.119) Pub Date : 2020-11-13
    Karl Rehrl; Stefan Kranzinger; Simon Gröchenig

    In the context of intelligent transport systems, dynamic route planning is an eagerly researched topic. While the research community during the last decade has focused on performance and scalability of dynamic route planning algorithms, the question concerning route qualities has been widely neglected. The current work contributes to this question by proposing a methodology to assess the quality of

  • Regional variations of context‐based association rules in OpenStreetMap
    Trans. GIS (IF 2.119) Pub Date : 2020-11-03
    Christina Ludwig; Sascha Fendrich; Alexander Zipf

    As a user‐generated map of the whole world, OpenStreetMap (OSM) provides valuable information about the natural and built environment. However, the spatial heterogeneity of the data due to cultural differences and the spatially varying mapping process makes the extraction of reliable information difficult. This study investigates the variability of association rules extracted from OSM across different

  • A fast algorithm for finding K shortest paths using generalized spur path reuse technique
    Trans. GIS (IF 2.119) Pub Date : 2020-10-29
    Bi Yu Chen; Xiao‐Wei Chen; Hui‐Ping Chen; William H. K. Lam

    The problem of finding the K shortest paths (KSPs) between a pair of nodes in a road network is an important network optimization problem with broad applications. Yen's algorithm is a classical algorithm for exactly solving the KSP problem. However, it requires numerous shortest path searches, which can be computationally intensive for real large networks. This study proposes a fast algorithm by introducing

  • Spatial analysis of soil erosion sensitivity using the Revised Universal Soil Loss Equation model in Nyamasheke District, Western Province of Rwanda
    Trans. GIS (IF 2.119) Pub Date : 2020-10-27
    Jean Damascene Niyonsenga; Maurice Mugabowindekwe; Christophe Mupenzi

    Previous studies have identified that Nyamasheke District in Rwanda is highly vulnerable to soil erosion. This has led to a loss of fertile soil, with a high level of land degradation. Nevertheless, the district’s spatial and temporal sensitivity to soil erosion remains unknown in different specific parts of the district. This study aimed to analyze spatial soil erosion sensitivity and mapping of vulnerable

  • Agricultural land partitioning model based on irrigation efficiency using a multi‐objective artificial bee colony algorithm
    Trans. GIS (IF 2.119) Pub Date : 2020-10-27
    Mehrdad Bijandi; Mohammad Karimi; Bahman Farhadi Bansouleh; Wim van der Knaap

    In the process of agricultural land consolidation, the land parcels are optimally redesigned and rearranged in such a way that the dimensions of the resulting parcels are proportional to agricultural criteria such as irrigation discharge, soil texture, and cropping pattern. Besides these criteria, spatial factors like slope, road accessibility, volume of earthwork, and geometrical factors such as size

  • A method for analyzing the expansion and shrinkage of point pattern
    Trans. GIS (IF 2.119) Pub Date : 2020-10-27
    Yukio Sadahiro

    This article proposes a new method for analyzing the spatial expansion and shrinkage of point patterns. Spatial expansions of epidemic diseases and market areas are represented as the expansions of point patterns when disease cases and store customers are represented as points. The spatial expansion and shrinkage have been studied in many scientific fields. Existing analytical methods, however, are

  • Loose programming of GIS workflows with geo‐analytical concepts
    Trans. GIS (IF 2.119) Pub Date : 2020-10-26
    Johannes F. Kruiger; Vedran Kasalica; Rogier Meerlo; Anna‐Lena Lamprecht; Enkhbold Nyamsuren; Simon Scheider

    Loose programming enables analysts to program with concepts instead of procedural code. Data transformations are left underspecified, leaving out procedural details and exploiting knowledge about the applicability of functions to data types. To synthesize workflows of high quality for a geo‐analytical task, the semantic type system needs to reflect knowledge of geographic information systems (GIS)

  • Homological relations: A methodology for the certification of irregular tessellations
    Trans. GIS (IF 2.119) Pub Date : 2020-10-26
    Eliseo Clementini; Brahim Lejdel; Sabrina Mazzagufo; Robert Laurini

    In GIS, spatial analysis is based on the use of spatial operations such as testing the spatial relations between features. Often, such tests are invalidated by errors in datasets. It is a very common experience that two bordering regions which should obey the topological relation “meet” fall instead in the “overlap” category. The situation is exacerbated when applying topological operators to regions

  • Contour line simplification method based on the two‐level Bellman–Ford algorithm
    Trans. GIS (IF 2.119) Pub Date : 2020-10-20
    Guangjing He; Xinchang Zhang; Ying Sun; Guowei Luo; Liyan Chen

    The contour line is one of the basic elements of a topographic map. Existing contour line simplification methods are generally applied to maps without topological errors. However, contour lines acquired from a digital elevation model (DEM) may contain topological errors before simplification. Targeted at contour lines with topological errors, a progressive simplification method based on the two‐level

  • Advances in techniques to formulate the watertight concept for cadastre
    Trans. GIS (IF 2.119) Pub Date : 2020-10-20
    Ali Asghari; Mohsen Kalantari; Abbas Rajabifard

    The world’s rising urban density expansion has resulted in a proliferation of attempts to efficiently use space and a higher level of spatial complexity in metropolitan areas. 3D geospatial data models are increasingly being embraced to facilitate communicating the spatial dimensions of complex built environments in different applications. For example, the use of 3D models in land administration systems

  • Spatiotemporal retrieval of dynamic video object trajectories in geographical scenes
    Trans. GIS (IF 2.119) Pub Date : 2020-10-20
    Yujia Xie; Meizhen Wang; Xuejun Liu; Ziran Wang; Bo Mao; Feiyue Wang; Xiaozhi Wang

    Current studies on video trajectory retrieval focus on the retrieval and analysis of image content, neglecting the gap between the spatiotemporal continuity of retrieval conditions and the spatiotemporal discontinuity of multi‐camera video trajectories. In this study, we propose a method for the spatiotemporal retrieval of dynamic video object trajectories in geographic scenes. Based on the camera

  • Highlighting recent trends in open source geospatial science and software
    Trans. GIS (IF 2.119) Pub Date : 2020-10-20
    Amin Mobasheri; Helena Mitasova; Markus Neteler; Alexander Singleton; Hugo Ledoux; Maria Antonia Brovelli

    Over the past decade, open source software has become widely accepted across governments, industries and academia. The geospatial domain is no exception and this trend is also reflected in geospatial research and practice. Nowadays, governments and stakeholders from the business sector both participate and promote open geospatial science including open geospatial data and open source geospatial software

  • fusionImage: An R package for pan‐sharpening images in open source software
    Trans. GIS (IF 2.119) Pub Date : 2020-09-15
    Fulgencio Cánovas‐García; Paúl Pesántez‐Cobos; Francisco Alonso‐Sarría

    The objective of this article is to evaluate the performance of three pan‐sharpening algorithms (high‐pass filter, principal component analysis and Gram–Schmidt) to increase the spatial resolution of five types of multispectral images and to evaluate the results in terms of color, coherence and spatial sharpness, both qualitatively and quantitatively. A secondary objective is to present an implementation

  • OpenStreetMap quality assessment using unsupervised machine learning methods
    Trans. GIS (IF 2.119) Pub Date : 2020-08-18
    Kent T. Jacobs; Scott W. Mitchell

    The reliability and quality of volunteered geographic information (VGI) continue to be pressing concerns. Many VGI projects lack standard geospatial data quality assurance procedures, and the reliability of contributors remains in question. Traditional approaches rely on comparing VGI to an “authoritative” or “gold standard” dataset to assess quality. This study investigates VGI quality by analysing

  • The right tools for the job: The case for spatial science tool‐building
    Trans. GIS (IF 2.119) Pub Date : 2020-09-18
    Geoff Boeing

    This article was presented as the 8th annual Transactions in GIS plenary address at the American Association of Geographers annual meeting in Washington, DC. The spatial sciences have recently seen growing calls for more accessible software and tools that better embody geographic science and theory. Urban spatial network science offers one clear opportunity: from multiple perspectives, tools to model

  • Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation
    Trans. GIS (IF 2.119) Pub Date : 2020-08-17
    Guiming Zhang; A‐Xing Zhu

    Volunteered geographic information (VGI) can provide field samples for predictively mapping geographic phenomena. Yet the biased spatial coverage of VGI observations often undermines the fitness of use of VGI samples for predictive mapping. Although methods have been developed to mitigate spatial bias in VGI samples to improve predictive model performance, there exist limited investigations into the

  • Acceptance of open source geospatial software: Assessing QGIS in South Africa with the UTAUT2 model
    Trans. GIS (IF 2.119) Pub Date : 2020-10-09
    Susan Henrico; Serena Coetzee; Antony Cooper; Victoria Rautenbach

    Geospatial information and technologies are widely used in South Africa, initially mostly with proprietary software but today, mature, open source alternatives such as QGIS are available. We wanted to find out if and why South African users accepted QGIS, globally the most widely used free and open source GIS. We adapted the extended unified theory of acceptance and use of technology model to test

  • A points of interest matching method using a multivariate weighting function with gradient descent optimization
    Trans. GIS (IF 2.119) Pub Date : 2020-10-05
    Yang Zhou; Mingjun Wang; Chen Zhang; Fu Ren; Xiangyuan Ma; Qingyun Du

    Volunteered geographic information contains abundant valuable data, which can be applied to various spatiotemporal geographical analyses. While the useful information may be distributed in different, low‐quality data sources, this issue can be solved by data integration. Generally, the primary task of integration is data matching. Unfortunately, due to the complexity and irregularities of multi‐source

  • Forest fire susceptibility modeling using hybrid approaches
    Trans. GIS (IF 2.119) Pub Date : 2020-09-29
    Hassan Abedi Gheshlaghi; Bakhtiar Feizizadeh; Thomas Blaschke; Tobia Lakes; Sapna Tajbar
  • The effect of some upscaling procedures on the slope derived from digital elevation models
    Trans. GIS (IF 2.119) Pub Date : 2020-09-22
    Qianning Zhang; Haibin Shang

    Digital elevation models (DEMs) and their derived parameters play an important role in geosciences. When upscaling, the influence of the upscaling procedure on the accuracy of DEMs' derived parameters has not been systematically studied. In this study, slope is taken as an example to explore the effect of upscaling procedure on the accuracy of DEMs' derived parameters. The meaning of upscaling is converting

  • Automatic extraction of sophisticated qualitative trajectory relationships between two moving objects in space‐time
    Trans. GIS (IF 2.119) Pub Date : 2020-09-21
    Mohammad H. Vahidnia

    A comparison of moving objects’ trajectories in space‐time based on descriptive and qualitative interpretations is useful in many GIS‐related studies. Qualitative relationships help to answer questions such as “Do the objects meet each other?” or “Do the objects move towards or away from each other?” Questions about moving objects can be efficiently addressed using quantitative and computational techniques

  • Consistency grammar for 3D indoor model checking
    Trans. GIS (IF 2.119) Pub Date : 2020-09-17
    Shayan Nikoohemat; Abdoulaye A. Diakité; Ville Lehtola; Sisi Zlatanova; George Vosselman

    Indoor 3D models are digital representations of building interiors reconstructed from scanned data acquired by laser scanners, digital depth (RGBD) cameras, and CAD drawings. Consequently, there is noise in the source data and a notable variety in the methods used to treat the noise and to process these data into reconstructed models. Alas, the correctness of these reconstructions and thus their suitability

  • Mining spatial patterns of food culture in China using restaurant POI data
    Trans. GIS (IF 2.119) Pub Date : 2020-09-11
    Haiping Zhang; Xingxing Zhou; Guoan Tang; Liyang Xiong; Kaixin Dong

    Traditional studies on food culture mainly focus on types of foods. However, these studies have been limited by the low availability of data. With the rapid advancement of web maps, efficiently obtaining restaurant data is possible. This study examines the food culture of mid‐eastern China using millions of items of restaurant point of interest data and explores different spatial patterns between local

  • Automatic filtering and 2D modeling of airborne laser scanning building point cloud
    Trans. GIS (IF 2.119) Pub Date : 2020-09-11
    Fayez Tarsha Kurdi; Mohammad Awrangjeb; Nosheen Munir

    This article suggests a new approach to automatic building footprint modeling using exclusively airborne LiDAR data. The first part of the suggested approach is the filtering of the building point cloud using the bias of the Z‐coordinate histogram. This operation aims to detect the points of roof class from the building point cloud. Hence, eight rules for histogram interpretation are suggested. The

  • Designing AfriCultuReS services to support food security in Africa
    Trans. GIS (IF 2.119) Pub Date : 2020-09-11
    T. K. Alexandridis; G. Ovakoglou; I. Cherif; M. Gómez Giménez; G. Laneve; D. Kasampalis; D. Moshou; S. Kartsios; M. C. Karypidou; E. Katragkou; S. Herrera García; M. Kganyago; N. Mashiyi; K. Pattnayak; A. Challinor; R. Pritchard; D. Brockington; C. Kagoyire; J. Suarez Beltran

    Earth observation (EO) data are increasingly being used to monitor vegetation and detect plant growth anomalies due to water stress, drought, or pests, as well as to monitor water availability, weather conditions, disaster risks, land use/land cover changes and to evaluate soil degradation. Satellite data are provided regularly by worldwide organizations, covering a wide variety of spatial, temporal

  • A dual spatial clustering method in the presence of heterogeneity and noise
    Trans. GIS (IF 2.119) Pub Date : 2020-09-11
    Jie Zhu; Jiazhu Zheng; Shaoning Di; Shu Wang; Jing Yang

    The detection of spatial clusters, taking into account both spatial proximity and attribute similarity, plays a vital role in spatial data analysis. Although several dual clustering methods are currently available in the literature, most of them have detected homogeneous spatially adjacent clusters suffering from between‐cluster inhomogeneity and noise, where those spatial points have been described

  • A complex junction recognition method based on GoogLeNet model
    Trans. GIS (IF 2.119) Pub Date : 2020-09-07
    Chengming Li; Honggang Zhang; Pengda Wu; Yong Yin; Sichao Liu

    Complex junctions are typical microstructures in large‐scale road networks with intricate structures and varied morphologies. It is a challenge to identify junctions in map generalization and car navigation tasks accurately. Generally, traditional recognition methods rely on low‐level characteristics of manual design, such as parallelism and symmetry. In recent years, preliminary studies using deep

  • Analyzing the effects of stochastic perturbation and fuzzy distance transformation on Wuhan urban growth simulation
    Trans. GIS (IF 2.119) Pub Date : 2020-09-03
    Bin Zhang; Haijun Wang; Sanwei He; Chang Xia

    Stochastic perturbation and fuzzy distance transformation (FDT) have been widely introduced into the derivation of transition rules to improve the simulation capability of urban cellular automata (CA) models. However, their effects on urban growth simulation have not been revealed. In this article, we compare their effects on urban growth simulation for the city of Wuhan by a sensitivity analysis of

  • Room semantics inference using random forest and relational graph convolutional networks: A case study of research building
    Trans. GIS (IF 2.119) Pub Date : 2020-08-19
    Xuke Hu; Hongchao Fan; Alexey Noskov; Zhiyong Wang; Alexander Zipf; Fuqiang Gu; Jianga Shang

    Semantically rich maps are the foundation of indoor location‐based services. Many map providers such as OpenStreetMap and automatic mapping solutions focus on the representation and detection of geometric information (e.g., shape of room) and a few semantics (e.g., stairs and furniture) but neglect room usage. To mitigate the issue, this work proposes a general room tagging method for public buildings

  • The administration of academic GIS certificates: A survey of program coordinators
    Trans. GIS (IF 2.119) Pub Date : 2020-08-09
    Thomas Wikle; Diana Sinton

    The academic GIS certificate has emerged as the most ubiquitous credential representing specialized knowledge and competency associated with geographic information systems, geographic information science, and related areas. While available at hundreds of public and private colleges and universities, GIS certificates are tremendously diverse in content, organization, and delivery. This article explores

  • Comparison of versioning methods to improve the information flow in the planning and building processes
    Trans. GIS (IF 2.119) Pub Date : 2020-08-06
    Helen Eriksson; Jing Sun; Väino Tarandi; Lars Harrie

    Version management is a prerequisite for digital information flow between phases in the planning and building processes. Information evolves over time and many parties retrieve information from the various phases. The aim of this article is to evaluate versioning methods, focusing on geodata buildings in the 3D cadastre process. The main attention in the evaluation is on the comprehensive ISO standard

  • Automated labeling of schematic maps by optimization with knowledge acquired from existing maps
    Trans. GIS (IF 2.119) Pub Date : 2020-08-06
    Tian Lan; Zhilin Li; Qian Peng; Xinyu Gong

    Schematic maps are simplified representations of line networks, aiming to help people quickly and accurately perform route planning and orientation tasks. The automated generation of such maps is generally treated as an optimization problem. Most researchers prefer to optimize network layouts and name labels separately, because optimizing them simultaneously is still intractable. It is found that optimizing

  • What drives disease flows between locations?
    Trans. GIS (IF 2.119) Pub Date : 2020-08-05
    Shiran Zhong; Ling Bian

    Communicable diseases “flow” between locations. These flows dictate where and when certain communities will be affected. While the prediction of disease flows is essential for the timely intervention of epidemics, few studies have addressed this critical issue. This study predicts disease flows during an epidemic by considering the epidemiological, network, and temporal contextual factors using a deep

  • A note on measuring the volume of space‐time prisms and the area of their spatial projections
    Trans. GIS (IF 2.119) Pub Date : 2020-08-05
    Deepak Elias; Bart Kuijpers

    Space‐time prisms are often used to model the uncertainty of space‐time locations of moving objects between measured sample points. The volume of such prisms and the area of their spatial projections are frequently used as measures for spatio‐temporal and spatial accessibility. The aim of this article is to provide correct expressions for this volume and area, both for prisms with and without stationary

  • Machine‐learning prediction models for pedestrian traffic flow levels: Towards optimizing walking routes for blind pedestrians
    Trans. GIS (IF 2.119) Pub Date : 2020-08-04
    Achituv Cohen; Sagi Dalyot

    Navigation and orientation while walking in urban spaces pose serious challenges for blind pedestrians, sometimes even on a daily basis. Research shows the practicability of computerized weighted network route planning algorithms based on OpenStreetMap mapping data for calculating customized routes for blind pedestrians. While data about pedestrians and vehicle traffic flow at different times throughout

  • A universal parallel scheduling approach to polyline and polygon vector data buffer analysis on conventional GIS platforms
    Trans. GIS (IF 2.119) Pub Date : 2020-08-04
    Mingqiang Guo; Chengde Han; Qingfeng Guan; Ying Huang; Zhong Xie

    With the increasing volume of spatial data, conventional vector data buffer analysis algorithms cannot meet the demands of fast data processing, so parallel computing is introduced to accelerate vector data analysis. However, it is difficult for these GIS platforms to adopt parallel approaches to conduct buffer analysis due to their conventional data format and vector buffer analysis algorithms. To

  • A data model for organizing relative semantics as images to support pedestrian navigation computations
    Trans. GIS (IF 2.119) Pub Date : 2020-08-03
    Zhixiang Fang; Fan Yang; Fangli Guan; Mingxiang Feng; Yuxin Jiang

    Pedestrian navigation systems often use the relative semantics of pedestrians and their environments to provide navigation guidance. Relative semantics include spatial and visual semantics. However, most navigation data models are based on an absolute reference frame and do not support the organization of relative semantics. To address this deficiency, we propose a pedestrian navigation data model

  • azul: A fast and efficient 3D city model viewer for macOS
    Trans. GIS (IF 2.119) Pub Date : 2020-08-02
    Ken Arroyo Ohori

    3D city models are an important research topic within geographic information, but there is still a lack of good tools to work with them in practice. In an attempt to alleviate this problem and to help with our own research, we have developed azul, a free and open‐source macOS 3D viewer that was especially engineered for the visualization of 3D city models. The aim of this article is, first of all,

  • An urban growth simulation model based on integration of local weights and decision risk values
    Trans. GIS (IF 2.119) Pub Date : 2020-07-28
    Mohammad Karimi Firozjaei; Amir Sedighi; Mohammadreza Jelokhani‐Niaraki

    Monitoring and managing the rapid growth of cities, especially in developing countries, highlights the need for appropriate spatio‐temporal models to predict urban growth. The parameters affecting the spatio‐temporal analysis of urban growth play a key role in the prediction results. This study proposes an urban growth simulation model by integrating local subjective–objective weights and decision

  • Advancing the historical geography of late Ottoman and British Mandate Palestine using GIScience: A review
    Trans. GIS (IF 2.119) Pub Date : 2020-07-27
    Motti Zohar

    Late Ottoman Empire and Mandate Palestine are two important periods preceding independent Israel, characterized by increased attention to Palestine along with modernization processes and substantial landscape changes. Significant increase is also noted in survey and mapping, resulting in a wealth of visual sources. However, while textual sources were used intensively in various studies, the latter

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