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Mapping 3-D classroom seats based on partial object point cloud completion Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-03-11 Enbo Zhou, Alan T. Murray, Jiwon Baik
3-D classroom seating information is of great significance in a host of planning contexts including indoor navigation and facility management. Mapping classroom 3-D seats based on a single-view LiD...
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Overlooked voices under strict lockdown: mapping humanitarian needs in 2022 Shanghai COVID-19 outbreak Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-03-08 Bing Zhou, Lei Zou, Mingzheng Yang, Binbin Lin, Debayan Mandal, Joynal Abedin
The COVID-19 pandemic that emerged in 2020 has caused significant health crises worldwide. Countries and regions around the globe have practiced different policies to contain the pandemic. One comm...
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Improving intuitiveness in geoscience hazard maps: a web-based experiment supporting governmental map development Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-03-07 Ane Bang-Kittilsen, Terje Midtbø
Changing societal needs means that new or existing maps need to be continuously developed. It is important that these maps are interpreted in the right way, to avoid misinterpretations and bad deci...
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Semantic-aware automatic extraction method for bottom sediment annotations in raster nautical charts Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-03-04 Mengkai Ma, Jian Dong, Lulu Tang, Zimeng Wang
The automatic extraction of bottom sediment annotations in large-scale raster nautical charts has limitations, including an imprecise semantic information description and low efficiency. To overcom...
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REA-FM: automated generation of natural-looking flow maps through river extraction algorithm Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-03-04 Zhiwei Wei, Su Ding, Wenjia Xu, Jifei Fang, Chunbo Liu, Yang Wang
A flow map is a type of thematic visualization that depicts the movement of objects across a geographical space using a tree layout resembling a natural river system. In this paper, we introduce an...
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Visualizing road connectivity under traffic influence: a CiteSpace-based method Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-02-29 Linfeng Jiang, Jingyu Jiang, Xiaohan Liu, Zidong Fang, Tianyu Liu, Xi Wang, Meng Gao, Hua Shu, Tao Pei
The connectivity of roads under the influence of traffic is determined by the topological connections established by the road network and the transport connections formed by moving vehicles between...
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Machine learning in cartography Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-02-19 Lars Harrie, Guillaume Touya, Rachid Oucheikh, Tinghua Ai, Azelle Courtial, Kai-Florian Richter
Machine learning is increasingly used as a computing paradigm in cartographic research. In this extended editorial, we provide some background of the papers in the CaGIS special issue Machine Learn...
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Cognitive mapping of indoor environments: constructing an indoor navigation network from crowdsourced indoor route descriptions Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-02-12 Zhicheng Zhan, Haosheng Huang, Stephan Winter, Nico Van de Weghe
Indoor navigation networks provide an effective solution for modeling indoor environments for navigational purposes. In comparison to pure geometric structures, network structures that are aligned ...
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TransMI: a transfer-learning method for generalized map information evaluation Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-02-09 Chenglong Wang, Tianjiao Chen, Yuqian Liu, Mengjun Kang, Shiliang Su, Binbo Li
Information Theory of Cartography plays an important role in guiding map design, generalization, and evaluation, and measurement of map information is the most basic topic of this theory. However, ...
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Using remote sensing data to derive built-form indexes to analyze the geography of residential burglary and street thefts Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-01-23 Ioannis Ioannidis, Robert P. Haining, Vania Ceccato, Andrea Nascetti
By deploying remotely sensed data together with spatial statistical modeling, we use regression modeling to investigate the relationship between the density of the built environment and two types o...
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Advancing indoor risk mapping for virus transmission of infectious diseases through geographic scenario simulation Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-01-22 Nuozhou Shen, Haiping Zhang, Xiaoxiao Wang, Zitong Li, Xuanhong Zhou, Chuanxi Xu, Guoan Tang
Close-range interpersonal interactions serve as a major channel for virus transmission, with higher infection risks indoors than outdoors. Thus, evaluating indoor infectious disease transmission ri...
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Automatic translation of human route descriptions into schematic maps for indoor navigation Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-01-22 Alper Sen, Zhicheng Zhan, Stephan Winter, Haosheng Huang, Nico Van de Weghe
People create route descriptions based on their mental maps to provide route guidance, which represents their knowledge of the environment. Recent studies have attempted to model navigation knowled...
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Producing accessible intersection maps for people with visual impairments: an initial evaluation of a semi-automated approach Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-01-16 Yuhao Jiang, María-Jesús Lobo, Christophe Jouffrais, Sidonie Christophe
Street intersections are challenging for people with visual impairments. While tactile maps are an important support in both mobility training and independent journeys, the caseload of manual map p...
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Human-centered avalanche susceptibility mapping (H-CASM): shifting the cartographic emphasis of backcountry avalanche susceptibility maps Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-01-16 Lindsey Rotche, Yolanda C. Lin
With backcountry winter travel increasing in popularity, the importance of accessible avalanche safety information is crucial. Widely accessible avalanche backcountry maps use slope shading to show...
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Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-01-16 Yuhao Kang, Song Gao, Robert E. Roth
The past decade has witnessed the rapid development of geospatial artificial intelligence (GeoAI) primarily due to the ground-breaking achievements in deep learning and machine learning. A growing ...
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A web-based geovisualization framework for exploratory analysis of individual VGI contributor’s participation characteristics Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-01-15 Guiming Zhang
Understanding the participation characteristics of VGI (volunteered geographic information) contributors is important as their active participation and consistent data contribution are key to succe...
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A feasibility study of applying generative deep learning models for map labeling Cartography and Geographic Information Science (IF 2.354) Pub Date : 2024-01-17 Rachid Oucheikh, Lars Harrie
The automation of map labeling is an ongoing research challenge. Currently, the map labeling algorithms are based on rules defined by experts for optimizing the placement of the text labels on maps...
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Algorithmic uncertainties in geolocating social media data for disaster management Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-12-21 Debayan Mandal, Lei Zou, Joynal Abedin, Bing Zhou, Mingzheng Yang, Binbin Lin, Heng Cai
The rapid development of information and communications technology has turned individuals into sensors, fostering the growth of human-generated geospatial big data. In disaster management, geospati...
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A study on the aptitude of color hue, value, and transparency for geographic relevance encoding in mobile maps Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-12-05 Marco Olivieri, Tumasch Reichenbacher
Depicting the right amount of information on mobile maps is still challenging. With this research we investigate which of the three visual variables hue, value, and transparency optimally directs v...
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Trust in maps: what we know and what we need to know Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-30 Timothy J. Prestby
Maps have served as authoritative and trustworthy sources of geospatial information for years. However, maps are increasingly being wielded to spread misinformation due to the democratization of ma...
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GeospatRE: extraction and geocoding of spatial relation entities in textual documents Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-30 Mehtab Alam Syed, Elena Arsevska, Mathieu Roche, Maguelonne Teisseire
Spatial information extraction from textual documents and its accurate geo-referencing are important steps in epidemiology, with many applications such as outbreak detection and disease surveillanc...
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Using machine learning and data enrichment in the selection of roads for small-scale maps Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-30 Izabela Karsznia, Albert Adolf, Stefan Leyk, Robert Weibel
Making decisions about which objects to keep or omit is challenging in map design. This process, called selection, constitutes the first operation in cartographic generalization. In this research, ...
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Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-21 Martin Knura
Map generalization is a complex task that requires a high level of spatial cognition, and deep learning techniques have shown in numerous research fields that they could match or even outplay human...
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How does your viewing perspective matter for decision-making with flood risk maps?* Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Fabian Kuster, Ian T. Ruginski, S.I. Fabrikant
The globally increasing frequency of flood events highlights the importance of effective flood risk communication. The influence of the viewing perspective of mapped flood events on human risk perc...
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A comparison of performance using extrinsic and intrinsic bivariate cartographic visualizations with respect to cognitive style in experienced map users Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Zdeněk Stachoň, Jiří Čeněk, David Lacko, Lenka Havelková, Martin Hanus, Wei-Lun Lu, Alžběta Šašinková, Pavel Ugwitz, Jie Shen, Čeněk Šašinka
When spatial information is depicted on univariate or multivariate maps, different visualization designs should be considered to fit the designs to suit the target audience and define the map’s gen...
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MultiLineStringNet: a deep neural network for linear feature set recognition Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Pengbo Li, Haowen Yan, Xiaomin Lu
Pattern recognition of linear feature sets, such as river networks, road networks, and contour clusters, is essential in cartography and geographic information science. Previous studies have invest...
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Keeping walls straight: data model and training set size matter for deep learning in building generalization Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Cheng Fu, Zhiyong Zhou, Yu Feng, Robert Weibel
Deep learning-backed models have shown their potential of conducting map generalization tasks. However, pioneering studies for raster-based building generalization encountered a common “wabbly-wall...
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Progress and challenges in designing landslide maps for disaster risk communication: a systematic review Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Elok Surya Pratiwi, Su-Min Shen, Junun Sartohadi
There has been a limited amount of research focused on the design of landslide maps, which are considered as one of the potential means to communicate disaster risks to the public. Hence, this arti...
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Geo-indistinguishable masking: enhancing privacy protection in spatial point mapping Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Yue Lin
Spatial point mapping is a useful practice in exploratory point pattern analysis, but it poses significant privacy risks as the identity of individuals may be revealed from the maps. Geomasking met...
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Thematic tactile maps for accessible flood mitigation planning: design and evaluation Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Harrison Cole, Anthony Robinson
Maps are frequently employed in the natural hazard mitigation planning (NHMP) process for analyze a community’s vulnerability to hazards and illustrating the character of potential hazards. But bec...
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Natural language processing meets spatial time series analysis and geovisualization: identifying and visualizing spatio-topical sentiment trends on Twitter Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Hoeyun Kwon, Caglar Koylu, Bryce J. Dietrich
Previous studies have introduced various approaches for visualizing the spatial and temporal distributions of sentiments expressed on social media. However, many existing methods either overlook th...
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Map functions to facilitate situational awareness during emergency events Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-14 Tomasz Opach, Jan Ketil Rød, Bjørn Erik Munkvold
Emergency events such as floods and wildfires are handled by various responders and at various levels: strategic, tactical, and operational. To facilitate situational awareness, emergency responder...
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Estimating neighborhood-level population characteristics from parcel data Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-07 Matthew H. Ruther
This paper investigates how ancillary geographic data – in particular, information on land or assessor parcels – might be used to improve estimates for small area populations and population charact...
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A parallel strategy to accelerate neighborhood operation for raster data coordinating CPU and GPU Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-07 Zhixin Yu, Chen Zhou, Manchun Li
This study presents an asynchronous parallel strategy coordinating central processing unit (CPU) and graphic processing unit (GPU) to accelerate neighborhood operation (NO). Specifically, we propos...
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Effectiveness of animated choropleth and proportional symbol cartograms for epidemiological dashboards Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-11-02 Barry J Kronenfeld, Kwang il (Jason) Yoo
Epidemiological maps on COVID-19 dashboards were critical to disseminating information during the pandemic, but dashboard creators faced difficulties avoiding common misinterpretation pitfalls that...
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Multiple representations in geospatial databases, the brain’s spatial cells, and deep learning algorithms Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-10-26 May Yuan
Buttenfield (1988) pioneered research on multiple representations in the dawn of GIScience. Her efforts evoked inquiries into fundamental issues arising from the selective abstractions of infinite ...
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Urban thermal map design considerations: color, shading, and resolution Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-10-26 Gunjan Barua, Thomas Pingel, Theodore Lim
While satellite-based remote sensing techniques are often used for studying and visualizing the heat distribution in cities, they are limited in terms of spatial resolution, view bias, and revisit ...
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DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-10-26 Azelle Courtial, Guillaume Touya, Xiang Zhang
The automation of map generalization has been an important research subject for decades but is not fully solved yet. Deep learning techniques are designed for various image generation tasks, so one...
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A web-based analytical framework for the detection and visualization space-time clusters of COVID-19 Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-10-17 Yu Lan, Eric Delmelle
The COVID-19 pandemic has had a profound impact worldwide and continues to spread due to various mutations of the virus. Many governmental and nonprofit agencies at different levels have quickly de...
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Bringing spatial interaction measures into multi-criteria assessment of redistricting plans using interactive web mapping Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-10-17 Jacob Kruse, Song Gao, Yuhan Ji, Daniel P. Szabo, Kenneth R. Mayer
Redistricting is the process by which electoral district boundaries are drawn so as to capture coherent communities of interest (COIs). While states rely on various proxies for community illustrati...
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Beyond mapping: extend the role of cartographers to user interface designers in the Metaverse using virtual reality, augmented reality, and mixed reality Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-10-17 Ming-Hsiang Tsou, Christian Mejia
Dr. Buttenfield led the user evaluation and user interface design/improvement tasks in the Alexandra Digital Library (ADL) Project from 1994 to 1998 funded by the National Science Foundation in the...
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Investigating the relationship between spatial skills and web mapping application performance among university students Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-07-20 Eleni Tomai, Margarita Kokla, Christos Charcharos, Katerina Pastra, Fotis Liarokapis, Maria Bezerianou, Kostas Cheliotis, Athanasia Darra, Marinos Kavouras
Successfully performing a task using a web mapping application may not only depend on the application itself and how well it meets users’ needs but also on users’ spatial skills. Spatial ability is...
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Inferring implicit 3D representations from human figures on pictorial maps Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-06-26 Raimund Schnürer, A. Cengiz Öztireli, Magnus Heitzler, René Sieber, Lorenz Hurni
In this work, we present an automated workflow to bring human figures, one of the most frequently appearing entities on pictorial maps, to the third dimension. Our workflow is based on training dat...
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A reinterpreted-texture strategy for rendering point symbols based on graphics processing unit Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-06-22 Yucheng Shu, Zihao Tang, Songshan Yue, Yongning Wen, Min Chen
ABSTRACT The increasing demands of presenting large numbers of points in maps have promoted the progress of rendering point symbols in GPUs. Although the drawing efficiency issue can be handled with texture mapping methods, the rendering quality problem due to the fixed resolution that affects map renders’ visual experiences remains. The method of directly drawing vector paths of a point symbol can
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Automating the external placement of symbols for point features in situation maps for emergency response Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-06-20 Sven Gedicke, Lukas Arzoumanidis, Jan-Henrik Haunert
ABSTRACT In this article, we address the time-critical work of emergency services in the field of disaster and emergency response. Aiming at saving valuable human and time resources during emergency operations, we present one exact and one heuristic approach for the automatic placement of tactical symbols in situation maps. Such maps are used to establish situational awareness and to convey mission-relevant
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A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-06-13 Xiongfeng Yan, Min Yang
Polyline and building simplification remain challenging in cartography. Most proposed algorithms are geometric-based and rely on specific rules. In this study, we propose a deep learning approach t...
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An automatic approach to generating barrier-free qualitative schemes for color vision deficiency Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-06-13 Taisheng Chen, Weixing Jiang, Menglin Chen, Kun Hu, Xi Lv, Xiaomin Mu
Hundreds of millions of people suffer from color vision deficiency, leading to confusion in the perception of maps. Barrier-free colors can reduce confusion and improve the readability of maps. How...
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A systematic review of application development in augmented reality navigation research Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-05-09 Kostas Cheliotis, Fotis Liarokapis, Margarita Kokla, Eleni Tomai, Katerina Pastra, Niki Anastopoulou, Maria Bezerianou, Athanasia Darra, Marinos Kavouras
ABSTRACT Augmented Reality (AR) is a technology that has been used extensively in the field of cartography, with one particular application being that of navigation. However even now, AR in navigation is still at an active exploratory stage with multiple different approaches regarding the techniques, methodologies, and development processes. In this work, we present a systematic review of application
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Hiking-time formulas: a review Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-05-09 Erich Prisner, Peter Sui
ABSTRACT Hiking-time formulas attempt to predict the time required for a hike based on available data. Most known hiking-time formulas can be classified into either pace-based, requiring the elevation profile as input, or formulas having horizontal distance d, cumulative elevation gain hU and loss hD as input. In the first part of the paper, we discuss some known formulas, give a list of desirable
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Cognition and perception of map projections: a literature review Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-04-13 Fritz C. Kessler, Sarah E. Battersby
ABSTRACT This paper explores scholarly literature published since the 1960s that examines peoples’ cognitive and perceptual understanding of map projections. Map projections present challenges to virtually everyone who uses them. Some of the challenges include selecting a projection, specifying projection parameters, and understanding distortion patterns. Broadly speaking, cartographic inquiry has
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Elastic beam algorithm for generating circular cartograms Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-04-13 Zhiwei Wei, Su Ding, Wenjia Xu, Lu Cheng, Song Zhang, Yang Wang
ABSTRACT The circular cartogram, also known as the Dorling map, is a widely used tool for visualizing statistical data. It represents regions as circles with their areas in proportion to the statistical values and requires circle displacement to avoid overlap and maintain spatial relationships. In this paper, we propose a new approach for circular cartogram production that utilizes the elastic beam
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An iterative framework with active learning to match segments in road networks Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-04-11 Wenhao Yu, Mengqi Liu
ABSTRACT Road network matching that detects arc-to-arc relations is a crucial prerequisite for the update of road data. The increasing complexity of multi-source and multi-scale road network data challenges the existing methods on accuracy and efficiency. This paper focuses on the interactive-based probabilistic relaxation approach. It is difficult to obtain satisfactory results by using completely
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A conceptual framework for developing dashboards for big mobility data Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-04-11 Lindsey Conrow, Cheng Fu, Haosheng Huang, Natalia Andrienko, Gennady Andrienko, Robert Weibel
Dashboards are an increasingly popular form of data visualization. Large, complex, and dynamic mobility data present a number of challenges in dashboard design. The overall aim for dashboard design...
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Not simply a circle: directional You-Are-Here symbol design improves the usability of indoor layout maps Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-04-11 Tianyang Bai, Chen Peng, Yulin Wu, Weihua Dong
ABSTRACT The indoor layout map contains information about the architectural interior space. Users often utilize the You-Are-Here (YAH) symbol on maps to firstly determine their current location and orientation to find the direction of a target location. Circle symbols often seen only indicate a user’s location, making it difficult to complete the orientation process. Based on alignment effect theory
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A point selection method in map generalization using graph convolutional network model Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-03-21 Tianyuan Xiao, Tinghua Ai, Huafei Yu, Min Yang, Pengcheng Liu
For point clusters, the conflict and crowding of map symbols is an inevitable problem during the transition from large to small scales. The cartographic generalization involved in this problem as a...
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A fast grid generation algorithm for local irregular parts of hexagonal discrete global grid systems Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-03-21 Rui Wang, Jin Ben, Xinhai Huang, Jianbin Zhou, Junjie Ding
ABSTRACT Discrete Global Grid Systems (DGGS) provide a multi-resolution discrete representation of the Earth and are preferable for the organization, integration, and analysis of large and multi-source geospatial datasets. Generating grids for the area of interest is usually the premise and basis for DGGS applications. Owing to incongruent hierarchies that restrict the multi-resolution applications
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How does the design of landmarks on a mobile map influence wayfinding experts’ spatial learning during a real-world navigation task? Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-03-07 Armand Kapaj, Sara Lanini-Maggi, Christopher Hilton, Bingjie Cheng, Sara I. Fabrikant
ABSTRACT Humans increasingly rely on GPS-enabled mobile maps to navigate novel environments. However, this reliance can negatively affect spatial learning, which can be detrimental even for expert navigators such as search and rescue personnel. Landmark visualization has been shown to improve spatial learning in general populations by facilitating object identification between the map and the environment
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MixMap: a user-driven approach to place-based semantic similarity Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-03-02 Grant McKenzie, Sarah Battersby, Vidya Setlur
ABSTRACT What other locations are like my neighborhood? How? Why? The heart of many spatial analyses is in finding similarities or dissimilarities between locations. Discovering patterns and interpreting similarity is a complicated process that is based on both the spatial characteristics and the semantics or meaning that we assign to place. Human conceptualization of similarity in locations is multi-faceted
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User-defined mid-air gestures for multiscale GIS interface interaction Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-03-02 Xiaozhou Zhou, Ruidong Bai
Multisize geographic information system (GIS) has widely used in social life, and the introduction of natural interactive methods such as gesture interaction further broadens the applications of GI...
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Evaluating individual cartographic skills using mental sketches Cartography and Geographic Information Science (IF 2.354) Pub Date : 2023-02-23 Kamil Nieścioruk
ABSTRACT The paper deals with a problem of assessing of individual progress of students’ cartographic skills. For teacher it is important to evaluate it not only in a form of tests and semester works, but also in a less formal, score-oriented manner. The author uses mental sketches to observe results of a teaching process. The research is based on previously described author’s method with modification