Cartography and Geographic Information Science最新文献_第6页

Assessing the cognition of movement trajectory visualizations: interpreting speed and direction 评估运动轨迹可视化的认知:解释速度和方向

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2023-01-23 DOI: 10.1080/15230406.2022.2157879

Crystal J. Bae, S. Dodge

{"title":"Assessing the cognition of movement trajectory visualizations: interpreting speed and direction","authors":"Crystal J. Bae, S. Dodge","doi":"10.1080/15230406.2022.2157879","DOIUrl":"https://doi.org/10.1080/15230406.2022.2157879","url":null,"abstract":"ABSTRACT This paper evaluates cognitively plausible geovisualization techniques for mapping movement data. With the widespread increase in the availability and quality of space-time data capturing movement trajectories of individuals, meaningful representations are needed to properly visualize and communicate trajectory data and complex movement patterns using geographic displays. Many visualization and visual analytics approaches have been proposed to map movement trajectories (e.g. space-time paths, animations, trajectory lines, etc.). However, little is known about how effective these complex visualizations are in capturing important aspects of movement data. Given the complexity of movement data which involves space, time, and context dimensions, it is essential to evaluate the communicative efficiency and efficacy of various visualization forms in helping people understand movement data. This study assesses the effectiveness of static and dynamic movement displays as well as visual variables in communicating movement parameters along trajectories, such as speed and direction. To do so, a web-based survey is conducted to evaluate the understanding of movement visualizations by a nonspecialist audience. This and future studies contribute fundamental insights into the cognition of movement visualizations and inspire new methods for the empirical evaluation of geovisualizations.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"143 - 161"},"PeriodicalIF":2.5,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44691458","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}

引用次数: 0

Comparison of font size and background color strategies for tag weights on tag maps 标签地图上标签权重的字体大小和背景颜色策略的比较

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2023-01-10 DOI: 10.1080/15230406.2022.2152098

N. Yang, Guojia Wu, A. MacEachren, Xujing Pang, Hao Fang

引用次数: 1

Detecting dynamic visual attention in augmented reality aided navigation environment based on a multi-feature integration fully convolutional network 基于多特征集成全卷积网络的增强现实辅助导航环境中动态视觉注意检测

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2023-01-02 DOI: 10.1080/15230406.2022.2154271

Qiaosong Hei, Weihua Dong, Bowen Shi

{"title":"Detecting dynamic visual attention in augmented reality aided navigation environment based on a multi-feature integration fully convolutional network","authors":"Qiaosong Hei, Weihua Dong, Bowen Shi","doi":"10.1080/15230406.2022.2154271","DOIUrl":"https://doi.org/10.1080/15230406.2022.2154271","url":null,"abstract":"ABSTRACT Visual attention detection, as an important concept for human visual behavior research, has been widely studied. However, previous studies seldom considered the feature integration mechanism to detect visual attention and rarely considered the differences due to different geographical scenes. In this paper, we use an augmented reality aided (AR-aided) navigation experimental dataset to study human visual behavior in a dynamic AR-aided environment. Then, we propose a multi-feature integration fully convolutional network (M-FCN) based on a self-adaptive environment weight (SEW) to integrate RGB-D, semantic, optical flow and spatial neighborhood features to detect human visual attention. The result shows that the M-FCN performs better than other state-of-the-art saliency models. In addition, the introduction of feature integration mechanism and the SEW can improve the accuracy and robustness of visual attention detection. Meanwhile, we find that RGB-D and semantic features perform best in different road routes and road types, but with the increase in road type complexity, the expressiveness of these two features weakens, and the expressiveness of optical flow and spatial neighborhood features increases. The research is helpful for AR-device navigation tool design and urban spatial planning.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"63 - 78"},"PeriodicalIF":2.5,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45941614","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}

引用次数: 1

Using gamification to increase map data production during humanitarian volunteered geographic information (VGI) campaigns 在人道主义自愿地理信息（VGI）运动中使用游戏化来增加地图数据的生成

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2023-01-02 DOI: 10.1080/15230406.2022.2156389

Kirsty Watkinson, Jonathan J. Huck, Angela Harris

{"title":"Using gamification to increase map data production during humanitarian volunteered geographic information (VGI) campaigns","authors":"Kirsty Watkinson, Jonathan J. Huck, Angela Harris","doi":"10.1080/15230406.2022.2156389","DOIUrl":"https://doi.org/10.1080/15230406.2022.2156389","url":null,"abstract":"ABSTRACT Volunteered geographic information (VGI) offers a solution to inequalities in authoritative map data that can limit our response to humanitarian crises. However, sustaining voluntary contributions of map data can be difficult and hybrid machine learning-VGI (ML-VGI) workflows developed to encourage sustained volunteer contributions have been demonstrated to be insufficient. Gamification can be used to encourage volunteers to map for longer, however evaluations of gamification to increase humanitarian mapping contributions are rare. Here we develop a gamified humanitarian ML-VGI mapping platform (“Map Safari”) and evaluate the use of game elements to encourage sustained volunteer contributions without reducing contribution quality. Our results suggest that gamification makes mapping more fun, particularly for first time mappers, without degrading map data quality. Competition is demonstrated to be important for encouraging enjoyment of game elements and increasing map data contributions. Future gamified mapping platforms should emphasize competition and ensure there are enough game elements to make platform use feel game-like. This research demonstrates that gamification can be used to encourage continued voluntary contributions of map data thereby increasing the amount of map data available to humanitarian organizations.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"79 - 95"},"PeriodicalIF":2.5,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42796345","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}

引用次数: 2

A geospatial image based eye movement dataset for cartography and GIS 基于地理空间图像的眼动数据集

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2023-01-02 DOI: 10.1080/15230406.2022.2153172

Bing He, Weihua Dong, Hua Liao, Qi Ying, Bowen Shi, Jiping Liu, Yong Wang

引用次数: 4

An indoor service area determination approach for pedestrian navigation path planning 行人导航路径规划中的室内服务区确定方法

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2022-12-16 DOI: 10.1080/15230406.2022.2142849

Jinjin Yan, S. Zlatanova, J. Lee

{"title":"An indoor service area determination approach for pedestrian navigation path planning","authors":"Jinjin Yan, S. Zlatanova, J. Lee","doi":"10.1080/15230406.2022.2142849","DOIUrl":"https://doi.org/10.1080/15230406.2022.2142849","url":null,"abstract":"ABSTRACT Indoor navigation has been studied for many years, but it still has many limitations. In current navigation, pedestrians need to tell navigation systems the destination, because it is one of the preconditions for path planning. However, in some indoor cases, pedestrians cannot specify a destination because they have no information about where it is or even cannot be sure if there is a desired one. We believe that determining a service area is a possible way to handle such cases. For example, a service area that can be reached within a 2-min walk. In this paper, we propose an indoor service area determination approach for pedestrian navigation path planning. We demonstrate this approach in a shopping mall with multi-floors. The results show that it can successfully compute the reachable spaces and thereby helping people to select and arrive at the most appropriate destination. This approach is also useful for other indoor navigation applications within public buildings like offices, airports, theaters, hospitals, and museums where pedestrians would like to make a choice between multiple facilities of the same type, such as printers, registration desks, ATMs, AED, garbage bins, even exits.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"321 - 332"},"PeriodicalIF":2.5,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47152160","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}

引用次数: 0

An improved hidden Markov model-based map matching algorithm considering candidate point grouping and trajectory connectivity 一种考虑候选点分组和轨迹连通性的改进隐马尔可夫模型地图匹配算法

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2022-11-17 DOI: 10.1080/15230406.2022.2135023

Bozhao Li, Zhongliang Cai, Mengjun Kang, Shiliang Su, Lili Jiang, Yong Ge, Yan-Liang Niu

{"title":"An improved hidden Markov model-based map matching algorithm considering candidate point grouping and trajectory connectivity","authors":"Bozhao Li, Zhongliang Cai, Mengjun Kang, Shiliang Su, Lili Jiang, Yong Ge, Yan-Liang Niu","doi":"10.1080/15230406.2022.2135023","DOIUrl":"https://doi.org/10.1080/15230406.2022.2135023","url":null,"abstract":"ABSTRACT The hidden Markov model-based map matching algorithm (HMM-MM) is an effective method for online vehicle navigation and offline trajectory position correction. Common HMM-MMs are susceptible to the influence of adjacent road segment endpoints and similar parallel roads, because the multi-index probability model may ignore some indexes when the probability of other indexes is high. This makes the map-matching result not meet the assumption that vehicles always travel the shortest or optimal path, and it cannot guarantee that the trajectory points can match to the nearest position of the maximum likelihood road segment, resulting in poor accuracy. In this paper, an IHMM-MM is proposed. IHMM-MM (1) modifies the definition of transition probability and no longer takes the straight-line distance between trajectory points as the reference for the shortest path length between candidate point pairs. (2) supplements the definition of observation probability and introduces the point-line relation function to screen and group candidate points. (3) adds additional logic outside the HMM probability model to consider the trajectory connectivity and fill in the key trajectory points where the vehicles travel. Experiments show that the IHMM-MM can effectively improve the sampling frequency of trajectory data and has better performance in complex urban road environments.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"351 - 370"},"PeriodicalIF":2.5,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47314086","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}

引用次数: 1

Image-based approximation of derivatives of traditional differential metrics of angular distortion in map projections 基于图像的地图投影中角畸变传统微分度量导数逼近

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2022-11-15 DOI: 10.1080/15230406.2022.2127123

Jin Yan, Tiansheng Xu, Jing Gao, Ni Li, Guanghong Gong

{"title":"Image-based approximation of derivatives of traditional differential metrics of angular distortion in map projections","authors":"Jin Yan, Tiansheng Xu, Jing Gao, Ni Li, Guanghong Gong","doi":"10.1080/15230406.2022.2127123","DOIUrl":"https://doi.org/10.1080/15230406.2022.2127123","url":null,"abstract":"ABSTRACT Map projections are imaging procedures used to depict geographic features. We adopt the traditional differential metric and exploit the intrinsic image properties of map projections to establish an image-based differential metric for evaluating distortions in map projections, obtaining an effective, practical, and relatively accurate metric. We use bivariate polynomial functions to approximate the forward and inverse formulae of map projections. Thereafter, the proposed metric is conveniently calculated using the partial derivatives of the approximate forward functions based on polynomial functions, while complicated differential calculations are avoided. Moreover, multiple sampling and image filters mitigate the influence of imaging noise and achieve a high computation precision. Experiments were conducted using the NASA G.Projector mapping software to generate images from more than 200 map projections. Explicit equations of map projections were not required owing to the use of the mapping software. These images were then evaluated using the proposed metric through an implementation in the Julia programming language. The corresponding results confirmed that the proposed metric avoided the drawbacks of the great circle arc metric and provided considerably low errors (1.12° on average) and high consistency (0.999 on average) with respect to the traditional differential metric. Although there were errors, experimental results indicated that feasibility and high usability were achieved by the image-based method for evaluating distortions in small-scale map projections.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"44 - 62"},"PeriodicalIF":2.5,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41992387","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}

引用次数: 0

Detecting common features from point patterns for similarity measurement using matrix decomposition 基于矩阵分解的相似性度量点模式公共特征检测

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2022-11-15 DOI: 10.1080/15230406.2022.2125078

Yifan Zhang, Wenhao Yu

引用次数: 2

Schematizing car routes with their surrounding street network 绘制汽车路线及其周围街道网络的示意图

IF 2.5 3区地球科学

Cartography and Geographic Information Science Pub Date : 2022-11-15 DOI: 10.1080/15230406.2022.2125077

M. Galvão, J. Krukar, A. Schwering

{"title":"Schematizing car routes with their surrounding street network","authors":"M. Galvão, J. Krukar, A. Schwering","doi":"10.1080/15230406.2022.2125077","DOIUrl":"https://doi.org/10.1080/15230406.2022.2125077","url":null,"abstract":"ABSTRACT Car drivers can benefit from schematized maps because they require a different level and type of information from different areas of the map. The technical challenge of creating such maps is that a schematic car route map should be optimized for the individual route, and yet simultaneously present the surrounding street network to support orientation. Existing schematization algorithms focus either on routes (without including the surrounding street network) or on the street network (without optimizing the route schematic layout). This paper addresses this lack of methods in schematization research and proposes an algorithm that is able to schematize both the route and the surrounding street network while resolving their conflicting layout criteria. We follow a two-step approach: we optimize the route layout criteria and afterward add the surrounding street network adapting it to the schematic route distortions. Our schematic ‘route + network’ maps aim to satisfy three requirements: (i) better readability of the route with respect to its decision points, (ii) preserving the qualitative characteristics of the surrounding street network while adapting it to route distortions, (iii) better visibility of alternative routes within the street network. A user study with six example maps validates our layout.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"20 - 43"},"PeriodicalIF":2.5,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42435812","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}

引用次数: 1