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A hybrid approach to building simplification with an evaluator from a backpropagation neural network Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-20 Min Yang; Tuo Yuan; Xiongfeng Yan; Tinghua Ai; Chenjun Jiang
ABSTRACT Research has developed numerous algorithms to simplify building data. Each algorithm has strengths and weaknesses in addressing shape characteristics, but no single algorithm can appropriately simplify all buildings. This study proposes a hybrid approach that identifies the best simplified representation of a building among four existing algorithms. The proposed approach applies the four algorithms
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Quantifying historical landscape change with repeat photography: an accuracy assessment of geospatial data obtained through monoplotting Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-20 Ulrike Bayr
ABSTRACT Traditional landscape photographs reaching back until the second half of the nineteenth century represent a valuable image source for the study of long-term landscape change. Due to the oblique perspective and the lack of geographical reference, landscape photographs are hardly used for quantitative research. In this study, oblique landscape photographs from the Norwegian landscape monitoring
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Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-20 Pengxiang Zhao; David Jonietz; Martin Raubal
ABSTRACT Though GPS-based human trajectory data have been commonly used in travel surveys and human mobility studies, missing data or data gaps that are intrinsically relevant to research reliability remain a critical and challenging issue. This study proposes a novel framework for imputing data gaps based on frequent-pattern mining and time geography, which allows for considering spatio-temporal travel
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Multiple-aspect analysis of semantic trajectories(MASTER) Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-18 Chiara Renso; Vania Bogorny; Konstantinos Tserpes; Stan Matwin; Jose Antonio Fernandes de Macedo
(2021). Multiple-aspect analysis of semantic trajectories(MASTER). International Journal of Geographical Information Science. Ahead of Print.
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A methodological framework for analysis of participatory mapping data in research, planning, and management Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-14 Nora Fagerholm; Christopher M. Raymond; Anton Stahl Olafsson; Gregory Brown; Tiina Rinne; Kamyar Hasanzadeh; Anna Broberg; Marketta Kyttä
ABSTRACT Today, various methods are applied to analyze the data collected through participatory mapping, including public participation GIS (PPGIS), participatory GIS (PGIS), and collecting volunteered geographic information (VGI). However, these methods lack an organized framework to describe and guide their systematic applications. Majority of the published articles on participatory mapping apply
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Templates of generic geographic information for answering where-questions Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-12 Ehsan Hamzei; Stephan Winter; Martin Tomko
ABSTRACT In everyday communication, where-questions are answered by place descriptions. To answer where-questions automatically, computers should be able to generate relevant place descriptions that satisfy inquirers’ information needs. Human-generated answers to where-questions constructed based on a few anchor places that characterize the location of inquired places. The challenge for automatically
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Delineation of cities based on scaling properties of urban patterns: a comparison of three methods Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-12 Gaëtan Montero; Cécile Tannier; Isabelle Thomas
ABSTRACT Identifying urban boundaries involves analysing both the functional and the morphological aspects of urban systems. In this paper, we adopt a purely morphological approach and compare three methods for the morphological delineation of cities. Each method avoids using any predefined quantified threshold (size, distance, built density, etc.) to detect crucial discontinuities in space. The first
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The Point-Descriptor-Precedence representation for point configurations and movements Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-11 Amna Qayyum; Bernard De Baets; Muhammad Sulman Baig; Frank Witlox; Guy De Tré; Nico Van de Weghe
ABSTRACT In this paper, we represent (moving) point configurations along a curved directed line qualitatively by means of a system of relational symbols based on two distance descriptors: one representing distance along the curved directed line and the other representing signed orthogonal distance to the curved directed line. The curved directed line represents the direction of the movement of interest
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A topic model based framework for identifying the distribution of demand for relief supplies using social media data Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-07 Ting Zhang; Shi Shen; Changxiu Cheng; Kai Su; Xiangxue Zhang
ABSTRACT Natural disasters have caused substantial economic losses and numerous casualties. The demand analysis of relief supplies is the premise and basis for efficient relief operations after disasters. With the widespread use of social media, it has become a vital channel for people to report their demand for relief supplies and provides a way to obtain information on disaster areas. Therefore,
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Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-05 Feng Gao; Shaoying Li; Zhangzhi Tan; Zhifeng Wu; Xiaoming Zhang; Guanping Huang; Ziwei Huang
ABSTRACT Understanding the influence mechanisms of dockless bike-sharing usage is essential for land use planning and bike scheduling strategy implementation. Although various studies have been carried out to explore the impact of built environment (BE) factors on bike-sharing usage, few studies have examined the modifiable areal unit problem (MAUP). Moreover, previous studies mainly focused on the
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Movement-aware map construction Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-05 Haiyang Lyu; Dieter Pfoser; Yehua Sheng
ABSTRACT Map construction algorithms attempt to derive a spatial graph representing a road network from GPS-sampled movement trajectories. Existing methods commonly use trajectories without considering the specific sampling methodology. Hence, the movement information is not preserved in the map construction results. The proposed map-construction method considers the particularities of the sampling
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Measuring hub locations in time-evolving spatial interaction networks based on explicit spatiotemporal coupling and group centrality Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-02 Chaogui Kang; Zhuojun Jiang; Yu Liu
ABSTRACT As the essence of urban spatiotemporal interaction systems, hubs and centers empower cities to enhance socioeconomic prosperity and sustainability. However, a city manifests a time-evolving spatial interaction network with latent temporal interactions and irregular spatial partitions. This phenomenon is termed the spatiotemporal inconsistency problem. The aggregate, single-layer network model
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Qualitative-geometric ‘surrounds’ relations between disjoint regions Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2021-01-01 Michael Worboys; Matt Duckham
ABSTRACT This paper explores a class of qualitative-geometric relations between disjoint regions, embedded in the surface of a sphere or in the plane. These relations combine topological information about the configuration of the regions themselves as well as of the geometric Voronoi regions surrounding them. The method uses maptrees to construct a rigorous and exhaustive framework for n-ary relations
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Measuring shallow-water bathymetric signal strength in lidar point attribute data using machine learning Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-12-30 Kim Lowell; Brian Calder; Anthony Lyons
ABSTRACT The goal of this work was to evaluate if routinely collected but seldom used airborne lidar metadata – ‘point attribute data’ (PAD) – analyzed using machine learning/artificial intelligence can improve extraction of shallow-water (less than 20 m) bathymetry from lidar point clouds. Extreme gradient boosting (XGB) models relating PAD to an existing bathymetry/not bathymetry classification were
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A method for finding least-cost corridors with reduced distortion in raster space Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-12-22 Lindsi Seegmiller; Takeshi Shirabe; C. Dana Tomlin
ABSTRACT Given a grid of cells, each having a value indicating its cost per unit area, a variant of the least-cost path problem is to find a corridor of a specified width connecting two termini such that its cost-weighted area is minimized. A computationally efficient method exists for finding such corridors, but as is the case with conventional raster-based least-cost paths, their incremental orientations
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A georeferenced graph model for geospatial data matching by optimising measures of similarity across multiple scales Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-12-15 Wen-Bin Zhang; Yong Ge; Yee Leung; Yu Zhou
ABSTRACT The growth of georeferenced data sources calls for advanced matching methods to improve the reliability of geospatial data processing, such as map conflation. Existing matching methods mainly focus on similarity measures at the entity scale or area scale. A measure that combines entity-scale and area-scale similarities can provide sound matching results under various circumstances. In this
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Loosening the grid: topology as the basis for a more inclusive GIS Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-12-07 L. Westerveld; A. K. Knowles
ABSTRACT The past 25 years have seen a proliferation of interest in GIS among humanists and humanistic social scientists. Under various banners – historical GIS, qualitative and mixed methods GIS, spatial and digital history, digital humanities, spatial humanities or geohumanities – researchers have developed new ways to include qualitative data within the framework of GIS. At the same time, social
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Mapping monthly population distribution and variation at 1-km resolution across China Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-12-07 Zhifeng Cheng; Jianghao Wang; Yong Ge
ABSTRACT Fine-grained inner-annual population data are instrumental in climate change response, resource allocation, and epidemic control. However, such data are currently scarce due to the lack of human-related indicators with both high temporal resolution and long-term coverage that can be used in the process of population spatialization. Here, we estimate monthly 1-km gridded population distribution
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A data relocation approach for terrain surface analysis on multi-GPU systems: a case study on the total viewshed problem Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-12-04 A. J. Sanchez-Fernandez; L. F. Romero; G. Bandera; S. Tabik
ABSTRACT Digital Elevation Models (DEMs) are important datasets for modelling the line of sight, such as radio signals, sound waves and human vision. These are commonly analyzed using rotational sweep algorithms. However, such algorithms require large numbers of memory accesses to 2D arrays which, despite being regular, result in poor data locality in memory. Here, we propose a new methodology called
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Incorporation of spatial anisotropy in urban expansion modelling with cellular automata Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-30 Jinqu Zhang; Yu Ling; A-Xing Zhu; Hongyun Zeng; Jia Song; Yunqiang Zhu; Lang Qian
ABSTRACT Cellular Automata (CA) models have become the most commonly used tool for simulating urban expansion. To improve the accuracy of CA models, various driving factors like spatial proximity and neighbourhood effects have been explored in previous studies, but the inclusion of these factors does not address the directional differences in urban expansion. To address this issue, this study develops
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A Voronoi-based method for land-use optimization using semidefinite programming and gradient descent algorithm Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-23 Vorapong Suppakitpaisarn; Atthaphon Ariyarit; Supanut Chaidee
ABSTRACT The land-use optimization involves divisions of land into subregions to obtain spatial configuration of compact subregions and desired connections among them. Computational geometry-based algorithms, such as Voronoi diagram, are known to be efficient and suitable for iterative design processes to achieve land-use optimization. However, such algorithms assume that generating point positions
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Online discovery of co-movement patterns in mobility data Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-23 Andreas Tritsarolis; George-Stylianos Theodoropoulos; Yannis Theodoridis
ABSTRACT The advent of GPS technologies generates location data-streams and accentuates the importance of developing practical tools that can process and analyze the vast amounts of location data at a given moment in a meaningful way. Profiling the trajectory of a moving object with respect to the trajectories of its surrounding objects, for example, can elicit its mobility behaviour and analyze it
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Discovering regions of anomalous spatial co-locations Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-16 Jiannan Cai; Min Deng; Yiwen Guo; Yiqun Xie; Shashi Shekhar
ABSTRACT Regions of anomalous spatial co-locations (ROASCs) are regions where co-locations between two different features are significantly stronger or weaker than expected. ROASC discovery can provide useful insights for studying unexpected spatial associations at regional scales. The main challenges are that the ROASCs are spatially arbitrary in geographic shape and the distributions of spatial features
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Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-13 Zhewei Liu; Anshu Zhang; Yepeng Yao; Wenzhong Shi; Xiao Huang; Xiaoqi Shen
ABSTRACT Various methods have been proposed to detect the base locations of individuals, with their geo-tagged social media data. However, a common challenge relating to base-location detection methods (BDMs) is that, the rare availability of ground-truth data impedes the method assessment of accuracy and robustness, thus undermining research validity and reliability. To address this challenge, we
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Aligning geographic entities from historical maps for building knowledge graphs Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-12 Kai Sun; Yingjie Hu; Jia Song; Yunqiang Zhu
ABSTRACT Historical maps contain rich geographic information about the past of a region. They are sometimes the only source of information before the availability of digital maps. Despite their valuable content, it is often challenging to access and use the information in historical maps, due to their forms of paper-based maps or scanned images. It is even more time-consuming and labor-intensive to
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An accessibility spatial search algorithm to optimize defibrillator deployment in indoor space Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-11 Lina Yang; Lei Xiong; Wujun Yang
ABSTRACT Indoor space, where humans spend 80% of their lives, is subject to frequent out-of-hospital cardiac arrest (OHCA). Optimizing the spatial deployment of automated external defibrillators (AEDs) has the potential to improve OHCA survival rate. Complex indoor space is typically divided by hard barriers into multiple discrete subspaces across floors. Commonly used distance measurements, such as
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Walking through the forests of the future: using data-driven virtual reality to visualize forests under climate change Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-10 Jiawei Huang; Melissa S. Lucash; Robert M. Scheller; Alexander Klippel
ABSTRACT Communicating and understanding climate induced environmental changes can be challenging, especially using traditional representations such as graphs, maps or photos. Immersive visualizations and experiences offer an intuitive, visceral approach to otherwise rather abstract concepts, but creating them scientifically is challenging. In this paper, we linked ecological modeling, procedural modeling
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On the suitability of a unified GIS-BIM-HBIM framework for cataloguing and assessing vulnerability in Historic Urban Landscapes: a critical review Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-09 Rafael Ramírez Eudave; Tiago Miguel Ferreira
ABSTRACT The use of digital representations of physical objects allows to simulate phenomena and predict behaviours. The representativeness of a model is based on the congruency between the code, the survey and the modelling strategies. In terms of physical space, two important approaches are the Geographical Information Systems (GIS) and Building Information Modelling (BIM). GIS approach is intended
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An index for moving objects with constant-time access to their compressed trajectories Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-11-03 Nieves R. Brisaboa; Travis Gagie; Adrián Gómez-Brandón; Gonzalo Navarro; José R. Paramá
ABSTRACT As the number of vehicles and devices equipped with GPS technology has grown explosively, an urgent need has arisen for time- and space-efficient data structures to represent their trajectories. The most commonly desired queries are the following: queries about an object’s trajectory, range queries, and nearest neighbor queries. In this paper, we consider that the objects can move freely and
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A trajectory restoration algorithm for low-sampling-rate floating car data and complex urban road networks Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-20 Bozhao Li; Zhongliang Cai; Mengjun Kang; Shiliang Su; Shanshan Zhang; Lili Jiang; Yong Ge
ABSTRACT Low-sampling-rate floating car data (FCD) are more challenging than those with high-sampling-rate FCD for map matching (MM) algorithms. Some MM algorithms for low-sampling-rate FCD lack sufficient efficiency nor accuracy, especially related to complex urban road networks. This paper proposes a new method named the trajectory restoration algorithm, which is based on geometry MM algorithms to
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An augmented representation method of debris flow scenes to improve public perception Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-19 Weilian Li; Jun Zhu; Lin Fu; Qing Zhu; Yakun Xie; Ya Hu
ABSTRACT Virtual scenes can present rich and clear disaster information, which can significantly improve the level of public disaster perception. However, existing methods for constructing scenes of debris flow disasters have some deficiencies. First, the construction process does not consider public knowledge, which makes it difficult for the constructed scenes to meet the requirements of the public
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Understanding the multifaceted geospatial software ecosystem: a survey approach Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-19 Rebecca C. Vandewalle; William C. Barley; Anand Padmanabhan; Daniel S. Katz; Shaowen Wang
ABSTRACT Understanding the characteristics of the rapidly evolving geospatial software ecosystem in the United States is critical to enable convergence research and education that are dependent on geospatial data and software. This paper describes a survey approach to better understand geospatial use cases, software and tools, and limitations encountered while using and developing geospatial software
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A scalable method to construct compact road networks from GPS trajectories Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-16 Yuejun Guo; Anton Bardera; Marta Fort; Rodrigo I. Silveira
ABSTRACT The automatic generation of road networks from GPS tracks is a challenging problem that has been receiving considerable attention in the last years. Although dozens of methods have been proposed, current techniques suffer from two main shortcomings: the quality of the produced road networks is still far from those produced manually, and the methods are slow, making them not scalable to large
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Synthesizing location semantics from street view images to improve urban land-use classification Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-15 Fang Fang; Yafang Yu; Shengwen Li; Zejun Zuo; Yuanyuan Liu; Bo Wan; Zhongwen Luo
ABSTRACT Land-use maps are instrumental to inform urban planning and environmental research. Street view images (SVIs) have shown great potential for automated land-use classification for land-use mapping. However, previous studies overlooked SVI-derived location contextual information that may help improve land-use classification. This study proposes a novel land-use classification method that synthesizes
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A comprehensive quality assessment framework for linear features from Volunteered Geographic Information Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-12 Hao Wu; Anqi Lin; Keith C. Clarke; Wenzhong Shi; Abraham Cardenas-Tristan; Zhenfa Tu
ABSTRACT The majority of spatial data provided as Volunteered Geographic Information (VGI) are roads and other linear map features. Such data have been widely used in routing and navigation, road network update, emergency response, urban planning and more. Due to the lack of cartographic standards and issues with volunteer credibility, the quality of VGI linear features remains a concern and could
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A hybrid data model for dynamic GIS: application to marine geomorphological dynamics Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-12 Younes Hamdani; Rémy Thibaud; Christophe Claramunt
ABSTRACT The search for the most appropriate GIS data model to integrate, manipulate and analyse spatio-temporal data raises several research questions about the conceptualisation of geographic spaces. Although there is now a general consensus that many environmental phenomena require field and object conceptualisations to provide a comprehensive GIS representation, there is still a need for better
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An adaptive approach for modelling the movement uncertainty in trajectory data based on the concept of error ellipses Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-06 Wenzhong Shi; Pengfei Chen; Xiaoqi Shen; Jianxiao Liu
ABSTRACT Modelling movement uncertainty is of profound significance in promoting effective trajectory analysis and mining. However, classic uncertainty models are limited by rigid assumptions on moving speed and distance, which ignores the stochastic nature of individual’s travel behaviour. This study introduces a novel method using adaptive ellipses to represent the movement uncertainty in a planar
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Modeling transit-assisted hurricane evacuation through socio-spatial networks Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-10-02 Yan Yang; Sara Metcalf; Liang Mao
ABSTRACT Increasing intensity and frequency of hurricane events underscores the need for efficient and inclusive evacuation plans, particularly for carless and disabled populations. Hurricane evacuation intrinsically involves both social and spatial processes. People’s decision to evacuate spreads over social networks; once their decisions are made, they flee through spatial transportation networks
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Connecting family trees to construct a population-scale and longitudinal geo-social network for the U.S. Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-09-30 Caglar Koylu; Diansheng Guo; Yuan Huang; Alice Kasakoff; Jack Grieve
ABSTRACT We collected 92,832 user-contributed and publicly available family trees from rootsweb.com, including 250 million individuals who were born in North America and Europe between 1630 and 1930. We cleaned and connected the family trees to create a population-scale and longitudinal family tree dataset using a workflow of data collection and cleaning, geocoding, fuzzy record linkage and a relation-based
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Dynamic optimization models for displaying outdoor advertisement at the right time and place Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-09-24 Meng Huang; Zhixiang Fang; Robert Weibel; Tao Zhang; Haosheng Huang
Digital billboards, as a new form of outdoor advertising, has gained popularity in recent years per its revolutionized way to control when and where the specific ads appear. However, this development also demands more complicated optimization for strategic deployments: the advertisers have to not only decide on a set of locations to display their ads, but also when to display them. The existing static
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A proactive route planning approach to navigation errors Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-09-22 David Amores; Egemen Tanin; Maria Vasardani
Online navigation systems assume a person can follow a given route from origin to destination. Nonetheless, spatial cognition studies show that wayfinding is a complex, highly adaptive process and that route planning is incremental rather than prescriptive. Indeed, people may deviate from their originally chosen route for a number of reasons including navigation errors, especially when the environment
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Extracting knowledge from legacy maps to delineate eco-geographical regions Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-09-17 Lin Yang; Xinming Li; Qinye Yang; Lei Zhang; Shujie Zhang; Shaohong Wu; Chenghu Zhou
ABSTRACT Legacy ecoregion maps contain knowledge on relationships between eco-region units and their environmental factors. This study proposes a method to extract knowledge from legacy area-class maps to formulate a set of fuzzy membership functions useful for regionalization. We develop a buffer zone approach to reduce the uncertainty of boundaries between eco-region units on area-class maps. We
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A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-09-15 Zhice Fang; Yi Wang; Ling Peng; Haoyuan Hong
ABSTRACT This study introduces four heterogeneous ensemble-learning techniques, that is, stacking, blending, simple averaging, and weighted averaging, to predict landslide susceptibility in Yanshan County, China. These techniques combine several state-of-the-art classifiers of convolutional neural network, recurrent neural network, support vector machine, and logistic regression in specific ways to
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A method to identify defensive assignments in team-based invasion sports using spatiotemporal trajectories Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-09-09 Yoran E. Leichsenring; Rafael Stubs Parpinelli; Fabiano Baldo
Several works in GIScience propose approaches to identify general motion patterns through the analysis of objects’ trajectories. However, they are not suitable to identify functional relationships in scenarios where domain-dependent motion behaviors exist. In this work, we explore the identification of a particular pattern found in team-based invasion sports. We propose a method to identify defensive
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Identifying urban growth patterns through land-use/land-cover spatio-temporal metrics: Simulation and analysis Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-09-08 Marta Sapena; Luis A. Ruiz
ABSTRACT The spatial pattern of urban growth determines how the physical, socio-economic and environmental characteristics of urban areas change over time. Monitoring urban areas for early identification of spatial patterns facilitates assuring their sustainable growth. In this paper, we assess the use of spatio-temporal metrics from land-use/land-cover (LULC) maps to identify growth patterns. We applied
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Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-28 John E. Vargas Muñoz; Devis Tuia; Alexandre X. Falcão
Locating populations in rural areas of developing countries has attracted the attention of humanitarian mapping projects since it is important to plan actions that affect vulnerable areas. Recent efforts have tackled this problem as the detection of buildings in aerial images. However, the quality and the amount of rural building annotated data in open mapping services like OpenStreetMap (OSM) is not
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From 2SFCA to i2SFCA: integration, derivation and validation Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-28 Fahui Wang
Uneven distributions of population and service providers lead to geographic disparity in access for residents and varying workload for staff in facilities. The former can be captured by spatial accessibility in the traditional two-step floating catchment area (2SFCA) method; and the latter can be measured by potential crowdedness in the newly developed inverted 2SFCA (or i2SFCA) method. Residents-based
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A BiLSTM-CNN model for predicting users’ next locations based on geotagged social media Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-26 Yi Bao; Zhou Huang; Linna Li; Yaoli Wang; Yu Liu
Location prediction based on spatio-temporal footprints in social media is instrumental to various applications, such as travel behavior studies, crowd detection, traffic control, and location-based service recommendation. In this study, we propose a model that uses geotags of social media to predict the potential area containing users’ next locations. In the model, we utilize HiSpatialCluster algorithm
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Local fuzzy geographically weighted clustering: a new method for geodemographic segmentation Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-21 George Grekousis
ABSTRACT Fuzzy geographically weighted clustering has been proposed as an approach for improving fuzzy c-means algorithm when applied to geodemographic analysis. This clustering method allows a spatial entity to belong to more than one cluster with varying degrees, namely, membership values. Although fuzzy geographically weighted clustering attempts to create geographically aware clusters, it partially
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Multi-criteria spatial screening and uncertainty analysis applied to direct-use geothermal projects Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-06-16 Calvin A. Whealton; Jery R. Stedinger; Jared D. Smith; Teresa E. Jordan; Franklin G. Horowitz; Maria C. Richards
The focus of this work is general methods for prioritization or screening of project sites based on the favorability of multiple spatial criteria. We present a threshold-based transformation of each underlying spatial favorability factor into a continuous scale with a common favorability interpretation across all criteria. We compare several methods of computing site favorability and propagating uncertainty
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A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-18 Ximeng Cheng; Jianying Wang; Haifeng Li; Yi Zhang; Lun Wu; Yu Liu
Big geo-data are often aggregated according to spatio-temporal units for analyzing human activities and urban environments. Many applications categorize such data into groups and compare the characteristics across groups. The intergroup differences vary with spatio-temporal units, and the essential is to identify the spatio-temporal units with apparently different data characteristics. However, spatio-temporal
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A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-18 Ximeng Cheng; Jianying Wang; Haifeng Li; Yi Zhang; Lun Wu; Yu Liu
ABSTRACT Big geo-data are often aggregated according to spatio-temporal units for analyzing human activities and urban environments. Many applications categorize such data into groups and compare the characteristics across groups. The intergroup differences vary with spatio-temporal units, and the essential is to identify the spatio-temporal units with apparently different data characteristics. However
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Measuring the similarity between multipolygons using convex hulls and position graphs Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-04 Yongyang Xu; Zhong Xie; Zhanlong Chen; Mingyu Xie
Polygon similarity can play an important role in geographic information retrieval, map matching and updating, and spatial data mining applications. Geographic information science (GIS) represents various spatial objects as polygons, including simple polygons and polygons with holes, as well as multipolygons. Spatial objects of multipolygons possess complex structure which makes it difficult to assess
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Reproducibility and replicability: opportunities and challenges for geospatial research Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-04 Peter Kedron; Wenwen Li; Stewart Fotheringham; Michael Goodchild
A cornerstone of the scientific method, the ability to reproduce and replicate the results of research has gained widespread attention across the sciences in recent years. A corresponding burst of energy into how to make research more reproducible and replicable has led to numerous innovations. This article outlines some of the opportunities for geospatial researchers to contribute to and learn from
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Semantic trajectory segmentation based on change-point detection and ontology Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-04 Yuan Gao; Longfei Huang; Jun Feng; Xin Wang
ABSTRACT Trajectory segmentation is a fundamental issue in GPS trajectory analytics. The task of dividing a raw trajectory into reasonable sub-trajectories and annotating them based on moving subject’s intentions and application domains remains a challenge. This is due to the highly dynamic nature of individuals’ patterns of movement and the complex relationships between such patterns and surrounding
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Minimum-area ellipse bounding an isovist: towards a 2D GIS-based efficient implementation Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-08-03 Thomas Leduc; Michel Leduc
In geographic information science and technology, various methods and studies exist to characterize the linearity, rectangularity, convexity, circularity or compactness, sinuosity or tortuosity of a given spatial shape. Although there is much work on ellipticity in image processing, we do not address, in geomatics, the issue of matching to a reference elliptical shape. Regarding this issue, this article
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A Bayesian spatio-temporal model to analyzing the stability of patterns of population distribution in an urban space using mobile phone data Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-07-28 Zhensheng Wang; Yang Yue; Biao He; Ke Nie; Wei Tu; Qingyun Du; Qingquan Li
ABSTRACT Understanding population distribution has excellent applications for planning and provision of municipal services. This study aims to explore the space-time structure of population distribution with area-level mobile phone data. We discuss a kind of Bayesian hierarchical models, fitted by Markov chain Monte Carlo simulation, that combines the overall spatial pattern and temporal trends as
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Common mistakes in ecological niche models Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-07-27 Neftalí Sillero; A. Márcia Barbosa
ABSTRACT Ecological niche models (ENMs) are widely used statistical methods to estimate various types of species niches. After lecturing several editions of introductory courses on ENMs and reviewing numerous manuscripts on this subject, we frequently faced some recurrent mistakes: 1) presence-background modelling methods, such as Maxent or ENFA, are used as if they were pseudo-absence methods; 2)
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Land cover harmonization using Latent Dirichlet Allocation Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-07-27 Zhan Li; Joanne C. White; Michael A. Wulder; Txomin Hermosilla; Andrew M. Davidson; Alexis J. Comber
ABSTRACT Large-area land cover maps are produced to satisfy different information needs. Land cover maps having partial or complete spatial and/or temporal overlap, different legends, and varying accuracies for similar classes, are increasingly common. To address these concerns and combine two 30-m resolution land cover products, we implemented a harmonization procedure using a Latent Dirichlet Allocation
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Space-time disease mapping by combining Bayesian maximum entropy and Kalman filter: the BME-Kalman approach Int. J. Geograph. Inform. Sci. (IF 3.733) Pub Date : 2020-07-22 Bisong Hu; Pan Ning; Yi Li; Chengdong Xu; George Christakos; Jinfeng Wang
In this work, a synthesis of the Bayesian maximum entropy (BME) and the Kalman filter (KF) methods, which enhances their individual strengths and overcomes certain of their weaknesses for spatiotemporal mapping purposes, is proposed in a spatiotemporal disease mapping context. The proposed BME-Kalman synthesis allows BME to use information from both parametric regression modeling and KF estimation