Pub Date : 2023-05-09DOI: 10.1080/15230406.2023.2197625
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 , cumulative elevation gain and loss as input. In the first part of the paper, we discuss some known formulas, give a list of desirable features of such pace-based functions, discuss advantages and disadvantages of the two approaches and the connection between them. It turns out that only linear functions with input and have uniquely identifiable pace-based function counterparts. Then. we demonstrate how such simple linear functions with input and can be constructed for individuals provided enough hiking data are available, using a case study of four hikers. We also include simple adjustments for the formulas based on the elevation of start and end point of the hike. Although no statistically valid conclusions can be drawn from such a small nonrandom sample, the results still give some insight into practical questions for hikers.
{"title":"Hiking-time formulas: a review","authors":"Erich Prisner, Peter Sui","doi":"10.1080/15230406.2023.2197625","DOIUrl":"https://doi.org/10.1080/15230406.2023.2197625","url":null,"abstract":"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 , cumulative elevation gain and loss as input. In the first part of the paper, we discuss some known formulas, give a list of desirable features of such pace-based functions, discuss advantages and disadvantages of the two approaches and the connection between them. It turns out that only linear functions with input and have uniquely identifiable pace-based function counterparts. Then. we demonstrate how such simple linear functions with input and can be constructed for individuals provided enough hiking data are available, using a case study of four hikers. We also include simple adjustments for the formulas based on the elevation of start and end point of the hike. Although no statistically valid conclusions can be drawn from such a small nonrandom sample, the results still give some insight into practical questions for hikers.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"421 - 432"},"PeriodicalIF":2.5,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45435356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-04DOI: 10.1080/15230406.2023.2194032
K. Cheliotis, F. Liarokapis, M. Kokla, E. Tomai, Katerina Pastra, N. Anastopoulou, Maria Bezerianou, Athanasia Darra, M. 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 development in AR navigation research, aiming to fill the gap in the literature by identifying trends in aspects such as hardware, software, and methodologies in AR navigation. We review 107 publications from the past 25 years that present AR navigation software for real-world environments, and analyze their main characteristics regarding intended environments and users, hardware, development platforms, and AR methodologies. We note a rise in AR navigation research interest from 2010 onward, driven in large part by smartphone and mobile device ubiquity, supported further by significant advances and streamlined processes in AR application development. Furthermore, we highlight a rise in the use of increasingly more complex AR methodologies in recent years, signaling that the field is steadily evolving and maturing. At the same time, we also identify significant inconsistencies and omissions regarding the reporting of technical details, with nearly half of reviewed works not reporting one or more of the aspects of interest. After identifying the level of maturity and complexity in the field AR navigation, we provide a list of recommendations and future directions for researchers aiming to develop AR navigation applications.
{"title":"A systematic review of application development in augmented reality navigation research","authors":"K. Cheliotis, F. Liarokapis, M. Kokla, E. Tomai, Katerina Pastra, N. Anastopoulou, Maria Bezerianou, Athanasia Darra, M. Kavouras","doi":"10.1080/15230406.2023.2194032","DOIUrl":"https://doi.org/10.1080/15230406.2023.2194032","url":null,"abstract":"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 development in AR navigation research, aiming to fill the gap in the literature by identifying trends in aspects such as hardware, software, and methodologies in AR navigation. We review 107 publications from the past 25 years that present AR navigation software for real-world environments, and analyze their main characteristics regarding intended environments and users, hardware, development platforms, and AR methodologies. We note a rise in AR navigation research interest from 2010 onward, driven in large part by smartphone and mobile device ubiquity, supported further by significant advances and streamlined processes in AR application development. Furthermore, we highlight a rise in the use of increasingly more complex AR methodologies in recent years, signaling that the field is steadily evolving and maturing. At the same time, we also identify significant inconsistencies and omissions regarding the reporting of technical details, with nearly half of reviewed works not reporting one or more of the aspects of interest. After identifying the level of maturity and complexity in the field AR navigation, we provide a list of recommendations and future directions for researchers aiming to develop AR navigation applications.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"249 - 271"},"PeriodicalIF":2.5,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43768359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-13DOI: 10.1080/15230406.2023.2195683
F. Kessler, S. Battersby
{"title":"Cognition and perception of map projections: a literature review","authors":"F. Kessler, S. Battersby","doi":"10.1080/15230406.2023.2195683","DOIUrl":"https://doi.org/10.1080/15230406.2023.2195683","url":null,"abstract":"","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"1 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42693813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-11DOI: 10.1080/15230406.2023.2190164
L. Conrow, Cheng Fu, Haosheng Huang, N. Andrienko, G. Andrienko, R. Weibel
ABSTRACT 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 is to improve information communication and decision making, though big mobility data in particular require considering privacy alongside size and complexity. Taking these issues into account, a gap remains between wrangling mobility data and developing meaningful dashboard output. Therefore, there is a need for a framework that bridges this gap to support the mobility dashboard development and design process. In this paper we outline a conceptual framework for mobility data dashboards that provides guidance for the development process while considering mobility data structure, volume, complexity, varied application contexts, and privacy constraints. We illustrate the proposed framework’s components and process using example mobility dashboards with varied inputs, end-users and objectives. Overall, the framework offers a basis for developers to understand how informational displays of big mobility data are determined by end-user needs as well as the types of data selection, transformation, and display available to particular mobility datasets. Key policy highlights Defines essential components of big mobility dashboards for stakeholders to understand key considerations and data management/pre-processing needs Clarifies the differences between dashboards and visual analytics applications Provides guidance for gathering information from end-users to ensure displays are fit-for-purpose Illustrates the application of the conceptual framework for dashboard design by discussing several examples of mobility data dashboards
{"title":"A conceptual framework for developing dashboards for big mobility data","authors":"L. Conrow, Cheng Fu, Haosheng Huang, N. Andrienko, G. Andrienko, R. Weibel","doi":"10.1080/15230406.2023.2190164","DOIUrl":"https://doi.org/10.1080/15230406.2023.2190164","url":null,"abstract":"ABSTRACT 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 is to improve information communication and decision making, though big mobility data in particular require considering privacy alongside size and complexity. Taking these issues into account, a gap remains between wrangling mobility data and developing meaningful dashboard output. Therefore, there is a need for a framework that bridges this gap to support the mobility dashboard development and design process. In this paper we outline a conceptual framework for mobility data dashboards that provides guidance for the development process while considering mobility data structure, volume, complexity, varied application contexts, and privacy constraints. We illustrate the proposed framework’s components and process using example mobility dashboards with varied inputs, end-users and objectives. Overall, the framework offers a basis for developers to understand how informational displays of big mobility data are determined by end-user needs as well as the types of data selection, transformation, and display available to particular mobility datasets. Key policy highlights Defines essential components of big mobility dashboards for stakeholders to understand key considerations and data management/pre-processing needs Clarifies the differences between dashboards and visual analytics applications Provides guidance for gathering information from end-users to ensure displays are fit-for-purpose Illustrates the application of the conceptual framework for dashboard design by discussing several examples of mobility data dashboards","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"495 - 514"},"PeriodicalIF":2.5,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42790706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-11DOI: 10.1080/15230406.2023.2190935
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 automatic matching algorithm in some complicated road networks such as multi-lane carriageways. We try to improve the matching accuracy by combining optimization matching model with manual interaction. The method uses the module of active learning to construct unlabeled sample pool from preliminary matching of probabilistic relaxation, and then selects the arcs with the highest uncertainty by query function. The selected road is then handed over to humans to determine its arc-to-arc relations in the other road network. Finally, the matching parameters are automatically adjusted according to the user’s feedback information, so as to realize the dynamic optimization of the model. Our interaction method is efficient as it only needs to specify few arc-to-arc mappings and others can be amended automatically. Our experimental results reveal that active learning can substantially improve the performance of standard probabilistic relaxation algorithms in road network matching.
{"title":"An iterative framework with active learning to match segments in road networks","authors":"Wenhao Yu, Mengqi Liu","doi":"10.1080/15230406.2023.2190935","DOIUrl":"https://doi.org/10.1080/15230406.2023.2190935","url":null,"abstract":"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 automatic matching algorithm in some complicated road networks such as multi-lane carriageways. We try to improve the matching accuracy by combining optimization matching model with manual interaction. The method uses the module of active learning to construct unlabeled sample pool from preliminary matching of probabilistic relaxation, and then selects the arcs with the highest uncertainty by query function. The selected road is then handed over to humans to determine its arc-to-arc relations in the other road network. Finally, the matching parameters are automatically adjusted according to the user’s feedback information, so as to realize the dynamic optimization of the model. Our interaction method is efficient as it only needs to specify few arc-to-arc mappings and others can be amended automatically. Our experimental results reveal that active learning can substantially improve the performance of standard probabilistic relaxation algorithms in road network matching.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"333 - 350"},"PeriodicalIF":2.5,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47928857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-21DOI: 10.1080/15230406.2023.2187886
Tianyuan Xiao, T. Ai, Huafei Yu, Min Yang, Pengcheng Liu
{"title":"A point selection method in map generalization using graph convolutional network model","authors":"Tianyuan Xiao, T. Ai, Huafei Yu, Min Yang, Pengcheng Liu","doi":"10.1080/15230406.2023.2187886","DOIUrl":"https://doi.org/10.1080/15230406.2023.2187886","url":null,"abstract":"","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44727829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-04DOI: 10.1080/15230406.2023.2189166
T. 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, we modified symbols by adding current orientation information. We conducted a target orientation experiment using eye-tracking technology to examine whether symbol modification positively affected users’ orientating performance in virtual subway station scenes on desktop. The results indicated that participants in the modified symbol group achieved a higher accuracy within a shorter time in orientation tasks. We also found that modified symbols significantly reduced users’ visual reliance on environmental information. Another experiment, in order to further investigate the role of YAH symbols in maps of different complexity, indicated that our modified symbol achieved obvious improvements regardless of map complexity. These findings revealed that the modified symbols indeed improved the convenience of orientation and the overall usability of indoor layout maps.
{"title":"Not simply a circle: directional You-Are-Here symbol design improves the usability of indoor layout maps","authors":"T. Bai, Chen Peng, Yulin Wu, Weihua Dong","doi":"10.1080/15230406.2023.2189166","DOIUrl":"https://doi.org/10.1080/15230406.2023.2189166","url":null,"abstract":"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, we modified symbols by adding current orientation information. We conducted a target orientation experiment using eye-tracking technology to examine whether symbol modification positively affected users’ orientating performance in virtual subway station scenes on desktop. The results indicated that participants in the modified symbol group achieved a higher accuracy within a shorter time in orientation tasks. We also found that modified symbols significantly reduced users’ visual reliance on environmental information. Another experiment, in order to further investigate the role of YAH symbols in maps of different complexity, indicated that our modified symbol achieved obvious improvements regardless of map complexity. These findings revealed that the modified symbols indeed improved the convenience of orientation and the overall usability of indoor layout maps.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"214 - 231"},"PeriodicalIF":2.5,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46568557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-04DOI: 10.1080/15230406.2023.2171492
Rui Wang, J. 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 of hexagonal DGGS, current grid generation of hexagonal DGGS for local areas mainly depends on inefficient single-resolution traversal methods by judging the spatial relationship between each cell and the area. This study designs a fast generation algorithm for local parts of hexagonal DGGS based on the hierarchical properties of DGGS. A partition structure at intervals of multiple levels is first designed to ensure the coverage relevance between parent and children cells of different levels. Based on this structure, the algorithm begins with coarser resolution grids and recursively decomposes them into the target resolution, with multiple decomposition patterns used and a unique condition proposed to make the generated grids without gaps or overlaps. Efficient integer coordinate operations are used to generate the vast majority of cells. Experimental results show that the proposed algorithm achieves a significant improvement in efficiency. In the aperture 4 hexagonal DGGS, the efficiency ratio of the proposed and traversal algorithms increases from six times in level 14 to approximately 339 times in level 18. This study provides a solid foundation for subsequent data quantization and multi-resolution applications in hexagonal DGGS and has broad prospects.
{"title":"A fast grid generation algorithm for local irregular parts of hexagonal discrete global grid systems","authors":"Rui Wang, J. Ben, Xinhai Huang, Jianbin Zhou, Junjie Ding","doi":"10.1080/15230406.2023.2171492","DOIUrl":"https://doi.org/10.1080/15230406.2023.2171492","url":null,"abstract":"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 of hexagonal DGGS, current grid generation of hexagonal DGGS for local areas mainly depends on inefficient single-resolution traversal methods by judging the spatial relationship between each cell and the area. This study designs a fast generation algorithm for local parts of hexagonal DGGS based on the hierarchical properties of DGGS. A partition structure at intervals of multiple levels is first designed to ensure the coverage relevance between parent and children cells of different levels. Based on this structure, the algorithm begins with coarser resolution grids and recursively decomposes them into the target resolution, with multiple decomposition patterns used and a unique condition proposed to make the generated grids without gaps or overlaps. Efficient integer coordinate operations are used to generate the vast majority of cells. Experimental results show that the proposed algorithm achieves a significant improvement in efficiency. In the aperture 4 hexagonal DGGS, the efficiency ratio of the proposed and traversal algorithms increases from six times in level 14 to approximately 339 times in level 18. This study provides a solid foundation for subsequent data quantization and multi-resolution applications in hexagonal DGGS and has broad prospects.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"178 - 196"},"PeriodicalIF":2.5,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43697117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-04DOI: 10.1080/15230406.2023.2183525
Armand Kapaj, Sara Lanini-Maggi, Christopher Hilton, Bingjie Cheng, S. 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. How landmark visualization supports expert users’ spatial learning during map-assisted navigation is still an open research question. We thus conducted a real-world study with wayfinding experts in an unknown residential neighborhood. We aimed to assess how two different landmark visualization styles (abstract 2D vs. realistic 3D buildings) would affect experts’ spatial learning in a map-assisted navigation task during an emergency scenario. Using a between-subjects design, we asked Swiss military personnel to follow a given route using a mobile map, and to identify five task-relevant landmarks along the route. We recorded experts’ gaze behavior while navigating and examined their spatial learning after the navigation task. We found that experts’ spatial learning improved when they focused their visual attention on the environment, but the direction of attention between the map and the environment was not affected by the landmark visualization style. Further, there was no difference in spatial learning between the 2D and 3D groups. Contrary to previous research with general populations, this study suggests that the landmark visualization style does not enhance expert navigators’ navigation or spatial learning abilities, thus highlighting the need for population-specific mobile map design solutions.
{"title":"How does the design of landmarks on a mobile map influence wayfinding experts’ spatial learning during a real-world navigation task?","authors":"Armand Kapaj, Sara Lanini-Maggi, Christopher Hilton, Bingjie Cheng, S. Fabrikant","doi":"10.1080/15230406.2023.2183525","DOIUrl":"https://doi.org/10.1080/15230406.2023.2183525","url":null,"abstract":"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. How landmark visualization supports expert users’ spatial learning during map-assisted navigation is still an open research question. We thus conducted a real-world study with wayfinding experts in an unknown residential neighborhood. We aimed to assess how two different landmark visualization styles (abstract 2D vs. realistic 3D buildings) would affect experts’ spatial learning in a map-assisted navigation task during an emergency scenario. Using a between-subjects design, we asked Swiss military personnel to follow a given route using a mobile map, and to identify five task-relevant landmarks along the route. We recorded experts’ gaze behavior while navigating and examined their spatial learning after the navigation task. We found that experts’ spatial learning improved when they focused their visual attention on the environment, but the direction of attention between the map and the environment was not affected by the landmark visualization style. Further, there was no difference in spatial learning between the 2D and 3D groups. Contrary to previous research with general populations, this study suggests that the landmark visualization style does not enhance expert navigators’ navigation or spatial learning abilities, thus highlighting the need for population-specific mobile map design solutions.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"197 - 213"},"PeriodicalIF":2.5,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42655632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-02DOI: 10.1080/15230406.2023.2176930
Grant McKenzie, S. Battersby, V. Setlur
{"title":"MixMap: a user-driven approach to place-based semantic similarity","authors":"Grant McKenzie, S. Battersby, V. Setlur","doi":"10.1080/15230406.2023.2176930","DOIUrl":"https://doi.org/10.1080/15230406.2023.2176930","url":null,"abstract":"","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48215126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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