Pub Date : 2022-04-28DOI: 10.1080/15230406.2022.2059572
C. Kastrisios, C. Ware
ABSTRACT The Zones of Confidence (ZOC) is a composite data quality indicator used in Electronic Navigational Charts. Accident reports show that failing to account for chart data quality can result in maritime accidents and loss of life. ZOC overlays are intended to help mariners in identifying potential seafloor hazards and in plotting routes safe for the vessel, but a major concern with the ZOC concept has been the utilized symbology with glyphs consisting of stars. Due to its recognized deficiencies, star-symbology has been rejected for use with the successor of ZOC, the Quality of Bathymetric Data (QoBD). This work presents a research effort toward a new QoBD representation. We define the requirements for the new coding scheme to be effective and propose two texture schemes incorporating countable elements, one consisting of lines and one of dot clusters. For comparison, we developed three alternative, color-based, coding schemes based on ideas previously expressed in the maritime community. Lastly, we present the design, dissemination, and results of an online user survey carried out to evaluate the five coding schemes. The survey results demonstrate that the proposed textures are the most preferred coding schemes among survey respondents.
{"title":"Textures for coding bathymetric data quality sectors on electronic navigational chart displays: design and evaluation","authors":"C. Kastrisios, C. Ware","doi":"10.1080/15230406.2022.2059572","DOIUrl":"https://doi.org/10.1080/15230406.2022.2059572","url":null,"abstract":"ABSTRACT The Zones of Confidence (ZOC) is a composite data quality indicator used in Electronic Navigational Charts. Accident reports show that failing to account for chart data quality can result in maritime accidents and loss of life. ZOC overlays are intended to help mariners in identifying potential seafloor hazards and in plotting routes safe for the vessel, but a major concern with the ZOC concept has been the utilized symbology with glyphs consisting of stars. Due to its recognized deficiencies, star-symbology has been rejected for use with the successor of ZOC, the Quality of Bathymetric Data (QoBD). This work presents a research effort toward a new QoBD representation. We define the requirements for the new coding scheme to be effective and propose two texture schemes incorporating countable elements, one consisting of lines and one of dot clusters. For comparison, we developed three alternative, color-based, coding schemes based on ideas previously expressed in the maritime community. Lastly, we present the design, dissemination, and results of an online user survey carried out to evaluate the five coding schemes. The survey results demonstrate that the proposed textures are the most preferred coding schemes among survey respondents.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"492 - 511"},"PeriodicalIF":2.5,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44009778","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 : 2022-04-27DOI: 10.1080/15230406.2023.2196732
Wei Zhiwei, Dingjie Su, Wenjia Xu, Cheng Lu, Zhang Song, Wang Yang
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 displacement algorithm in cartographic generalization. First, the initial circles are generated with their areas in proportion to the statistical values. Second, an elastic beam structure is built as a proximity graph based on the spatial relations between the circles. Third, the circles violating the quality requirements are considered to have a force on the nodes of a beam. Fourth, the elastic beam algorithm is applied to assign forces for each node to determine the new positions of the circles. Steps two through four are repeated until a circular cartogram that meets the defined quality requirements is obtained. The experiments indicate that the proposed approach can successfully generate circular cartograms without overlaps while maintaining topology and relative relationships with higher quality than existing approaches. Project website: https://github.com/TrentonWei/DorlingMap
{"title":"Elastic beam algorithm for generating circular cartograms","authors":"Wei Zhiwei, Dingjie Su, Wenjia Xu, Cheng Lu, Zhang Song, Wang Yang","doi":"10.1080/15230406.2023.2196732","DOIUrl":"https://doi.org/10.1080/15230406.2023.2196732","url":null,"abstract":"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 displacement algorithm in cartographic generalization. First, the initial circles are generated with their areas in proportion to the statistical values. Second, an elastic beam structure is built as a proximity graph based on the spatial relations between the circles. Third, the circles violating the quality requirements are considered to have a force on the nodes of a beam. Fourth, the elastic beam algorithm is applied to assign forces for each node to determine the new positions of the circles. Steps two through four are repeated until a circular cartogram that meets the defined quality requirements is obtained. The experiments indicate that the proposed approach can successfully generate circular cartograms without overlaps while maintaining topology and relative relationships with higher quality than existing approaches. Project website: https://github.com/TrentonWei/DorlingMap","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"50 1","pages":"371 - 384"},"PeriodicalIF":2.5,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46352130","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 : 2022-04-22DOI: 10.1080/15230406.2022.2059571
Yi Cheng, Guochuang Zhu, Cong Yang, Guoqiang Miao, Wen Ge
ABSTRACT “Why,” “what,” and “how” are basic questions to be answered in augmented map research as an intersecting direction. This study summarizes dynamic visual representations and true 3D interactions as characteristics of augmented maps from the cartographic perspective through analysis of the research progress in different disciplines. From secondary viewpoints of cognition and design, the augmented map cube is presented to establish the research framework in three directions: cognitive purposes, information dimensions, and interactive devices, in which map-based spatial cognition theory, augmented visualization, and interactive features are considered. The research evaluation is carried out to determine the reasonableness of the cube and then identify different research statuses in any one or two of the directions under the cube. Based on a literature search and classification, 30 typical studies were used for structural analysis to discover research trends and new directions that can be mined. The results show that the cube can be used to evaluate the coverage of an article or provide researchers with research trends and new possibilities. Our conclusions include but are not limited to the following: Research for retrieval purposes deserves attention, augmented visualization of specific individual elements is key to understanding maps, and interactive devices become more intangible.
{"title":"Characteristics of augmented map research from a cartographic perspective","authors":"Yi Cheng, Guochuang Zhu, Cong Yang, Guoqiang Miao, Wen Ge","doi":"10.1080/15230406.2022.2059571","DOIUrl":"https://doi.org/10.1080/15230406.2022.2059571","url":null,"abstract":"ABSTRACT “Why,” “what,” and “how” are basic questions to be answered in augmented map research as an intersecting direction. This study summarizes dynamic visual representations and true 3D interactions as characteristics of augmented maps from the cartographic perspective through analysis of the research progress in different disciplines. From secondary viewpoints of cognition and design, the augmented map cube is presented to establish the research framework in three directions: cognitive purposes, information dimensions, and interactive devices, in which map-based spatial cognition theory, augmented visualization, and interactive features are considered. The research evaluation is carried out to determine the reasonableness of the cube and then identify different research statuses in any one or two of the directions under the cube. Based on a literature search and classification, 30 typical studies were used for structural analysis to discover research trends and new directions that can be mined. The results show that the cube can be used to evaluate the coverage of an article or provide researchers with research trends and new possibilities. Our conclusions include but are not limited to the following: Research for retrieval purposes deserves attention, augmented visualization of specific individual elements is key to understanding maps, and interactive devices become more intangible.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"426 - 442"},"PeriodicalIF":2.5,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49033090","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 : 2022-04-01DOI: 10.1080/15230406.2022.2048419
Y. Qiang, B. Buttenfield, Jinwen Xu
ABSTRACT Many spatial analysis methods suffer from the scaling issue identified as part of the Modifiable Areal Unit Problem (MAUP). This article introduces the Pyramid Model (PM), a hierarchical data framework integrating space and spatial scale in a 3D environment to support multi-scale analysis. The utility of the PM is tested in examining quadrat density and kernel density, which are commonly used measures of point patterns. The two metrics computed from a simulated point set with varying scaling parameters (i.e. quadrats and bandwidths) are represented in the PM. The PM permits examination of the variation of the density metrics computed at all different scales. 3D visualization techniques (e.g. volume display, isosurfaces, and slicing) allow users to observe nested relations between spatial patterns at different scales and understand the scaling issue and MAUP in spatial analysis. A tool with interactive controls is developed to support visual exploration of the internal patterns in the PM. In addition to the point pattern measures, the PM has potential in analyzing other spatial indices, such as spatial autocorrelation indicators, coefficients of regression analysis and accuracy measures of spatial models. The implementation of the PM further advances the development of a multi-scale framework for spatio-temporal analysis.
{"title":"Analyzing multi-scale spatial point patterns in a pyramid modeling framework","authors":"Y. Qiang, B. Buttenfield, Jinwen Xu","doi":"10.1080/15230406.2022.2048419","DOIUrl":"https://doi.org/10.1080/15230406.2022.2048419","url":null,"abstract":"ABSTRACT Many spatial analysis methods suffer from the scaling issue identified as part of the Modifiable Areal Unit Problem (MAUP). This article introduces the Pyramid Model (PM), a hierarchical data framework integrating space and spatial scale in a 3D environment to support multi-scale analysis. The utility of the PM is tested in examining quadrat density and kernel density, which are commonly used measures of point patterns. The two metrics computed from a simulated point set with varying scaling parameters (i.e. quadrats and bandwidths) are represented in the PM. The PM permits examination of the variation of the density metrics computed at all different scales. 3D visualization techniques (e.g. volume display, isosurfaces, and slicing) allow users to observe nested relations between spatial patterns at different scales and understand the scaling issue and MAUP in spatial analysis. A tool with interactive controls is developed to support visual exploration of the internal patterns in the PM. In addition to the point pattern measures, the PM has potential in analyzing other spatial indices, such as spatial autocorrelation indicators, coefficients of regression analysis and accuracy measures of spatial models. The implementation of the PM further advances the development of a multi-scale framework for spatio-temporal analysis.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"370 - 383"},"PeriodicalIF":2.5,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45284675","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 : 2022-03-09DOI: 10.1080/15230406.2022.2039775
Tong Zhang, Wei He, Jing Huang, Zhenxuan He, Jing Li
ABSTRACT Understanding urban mobility patterns is constrained by our limited capabilities to extract and visualize spatio-temporal regularities from large amounts of mobility data. Moving flocks, defined as groups of people traveling along over a pre-defined time duration, can reveal collective moving patterns at aggregated spatio-temporal scales, thereby facilitating the discovery of urban mobility structure and travel demand patterns. In this study, we extend classical trajectory-oriented flock mining algorithms to discover moving flocks of transit passengers, accounting for the constraints of multi-modal transit networks. We develop a map-centered visual analytics approach by integrating the flock mining algorithm with interactive visualization designs of discovered flocks. Novel interactive visualizations are designed and implemented to support the exploration and analyses of discovered moving flocks at different spatial and temporal scales. The visual analytics approach is evaluated using a real-world smart card dataset collected in Shenzhen City, China, validating its applicability in capturing and mapping dynamic mobility patterns over a large metropolitan area.
{"title":"Interactive visual analytics of moving passenger flocks using massive smart card data","authors":"Tong Zhang, Wei He, Jing Huang, Zhenxuan He, Jing Li","doi":"10.1080/15230406.2022.2039775","DOIUrl":"https://doi.org/10.1080/15230406.2022.2039775","url":null,"abstract":"ABSTRACT Understanding urban mobility patterns is constrained by our limited capabilities to extract and visualize spatio-temporal regularities from large amounts of mobility data. Moving flocks, defined as groups of people traveling along over a pre-defined time duration, can reveal collective moving patterns at aggregated spatio-temporal scales, thereby facilitating the discovery of urban mobility structure and travel demand patterns. In this study, we extend classical trajectory-oriented flock mining algorithms to discover moving flocks of transit passengers, accounting for the constraints of multi-modal transit networks. We develop a map-centered visual analytics approach by integrating the flock mining algorithm with interactive visualization designs of discovered flocks. Novel interactive visualizations are designed and implemented to support the exploration and analyses of discovered moving flocks at different spatial and temporal scales. The visual analytics approach is evaluated using a real-world smart card dataset collected in Shenzhen City, China, validating its applicability in capturing and mapping dynamic mobility patterns over a large metropolitan area.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"354 - 369"},"PeriodicalIF":2.5,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48969103","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 : 2022-03-03DOI: 10.1080/15230406.2022.2035256
Gene Trantham, Patrick J. Kennelly
ABSTRACT A terrain data model using orientation rather than elevation permits more efficient analysis and stores its data in a multi-band raster. Representation techniques from the computer graphics industry are readily adopted with this data model. A common data model for terrain surfaces–the raster digital elevation model (DEM)–carries with it limitations by emphasizing height. Derived products such as relief shading require additional processing to determine orientation, even though they are used more frequently than those relying on elevation (e.g. hypsometric tinting). We show some of the benefits of encoding and analyzing terrain based on surface orientation, an approach that uses normal vectors stored as multi-band raster, the data storage convention in the computer graphics industry. A change in the data model and the conceptualization of the surface’s defining characteristics allows relief shading methods to run faster than conventional tools. Processing efficiencies are especially useful for more advanced shading models that may employ hundreds of relief shading calculations. In addition, an orientation-focused approach to terrain permits cartographic techniques to parallel common computer graphics methods. This project explores one such method, normal-mapping, an effect that adds texture to conventional relief shading by perturbing surface normal vectors.
{"title":"Terrain representation using orientation","authors":"Gene Trantham, Patrick J. Kennelly","doi":"10.1080/15230406.2022.2035256","DOIUrl":"https://doi.org/10.1080/15230406.2022.2035256","url":null,"abstract":"ABSTRACT A terrain data model using orientation rather than elevation permits more efficient analysis and stores its data in a multi-band raster. Representation techniques from the computer graphics industry are readily adopted with this data model. A common data model for terrain surfaces–the raster digital elevation model (DEM)–carries with it limitations by emphasizing height. Derived products such as relief shading require additional processing to determine orientation, even though they are used more frequently than those relying on elevation (e.g. hypsometric tinting). We show some of the benefits of encoding and analyzing terrain based on surface orientation, an approach that uses normal vectors stored as multi-band raster, the data storage convention in the computer graphics industry. A change in the data model and the conceptualization of the surface’s defining characteristics allows relief shading methods to run faster than conventional tools. Processing efficiencies are especially useful for more advanced shading models that may employ hundreds of relief shading calculations. In addition, an orientation-focused approach to terrain permits cartographic techniques to parallel common computer graphics methods. This project explores one such method, normal-mapping, an effect that adds texture to conventional relief shading by perturbing surface normal vectors.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"479 - 491"},"PeriodicalIF":2.5,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41482840","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 : 2022-02-08DOI: 10.1080/15230406.2021.2015719
C. Atzl, M. Mittlböck, Laura Knoth
ABSTRACT Multidimensional digital and interactive basemaps are of high interest for many different user groups coming from various domains. There are already some design principles available for creating digital 3D maps, many of them coming from classical 2D map design, but there is still a need for new design strategies and principles for digital and interactive 3D and 4D basemaps for urban environments. In this article, we present the results of a comprehensive online survey with 175 participants. The aim of this conducted survey was to find out more about the preferences of different user groups regarding the content of digital 3D and 4D basemaps for urban environments, the zoom levels at which different content (such as buildings, landmarks, vegetation, labels, live data) should be visible, the highest shown level of detail as well the overall design (with regard to color, classification and symbology) of these contents. In addition, we also deal with questions about desired map elements and functionalities for an interactive multidimensional basemap and present first assessments of a developed 4D basemap demonstrator. As a final result, we conclude with two tables that provide advice for specific design decisions for creating digital and interactive 3D and 4D basemaps of urban environments for orientation purposes.
{"title":"Design decisions for multidimensional digital and interactive basemaps of urban environments","authors":"C. Atzl, M. Mittlböck, Laura Knoth","doi":"10.1080/15230406.2021.2015719","DOIUrl":"https://doi.org/10.1080/15230406.2021.2015719","url":null,"abstract":"ABSTRACT Multidimensional digital and interactive basemaps are of high interest for many different user groups coming from various domains. There are already some design principles available for creating digital 3D maps, many of them coming from classical 2D map design, but there is still a need for new design strategies and principles for digital and interactive 3D and 4D basemaps for urban environments. In this article, we present the results of a comprehensive online survey with 175 participants. The aim of this conducted survey was to find out more about the preferences of different user groups regarding the content of digital 3D and 4D basemaps for urban environments, the zoom levels at which different content (such as buildings, landmarks, vegetation, labels, live data) should be visible, the highest shown level of detail as well the overall design (with regard to color, classification and symbology) of these contents. In addition, we also deal with questions about desired map elements and functionalities for an interactive multidimensional basemap and present first assessments of a developed 4D basemap demonstrator. As a final result, we conclude with two tables that provide advice for specific design decisions for creating digital and interactive 3D and 4D basemaps of urban environments for orientation purposes.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"220 - 236"},"PeriodicalIF":2.5,"publicationDate":"2022-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42115957","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 : 2022-02-07DOI: 10.1080/15230406.2021.2023366
Xiao Huang, Yago Martín, Siqin Wang, Mengxi Zhang, X. Gong, Y. Ge, Zhenlong Li
ABSTRACT Human mobility studies have become increasingly important and diverse in the past decade with the support of social media big data that enables human mobility to be measured in a harmonized and rapid manner. However, what is less explored in the current scholarship is episodic mobility as a special type of human mobility defined as the abnormal mobility triggered by episodic events excess to the normal range of mobility at large. Drawing on a large-scale systematic collection of 1.9 billion geotagged Twitter data from 2017 to 2020, this study contributes to the first empirical study of episodic mobility by producing a daily Twitter census of visitors at the U.S. county level and proposing multiple statistical approaches to identify and quantify episodic mobility. It is followed by four case studies of episodic mobility in U.S. national wide to showcase the great potential of Twitter data and our proposed method to detect episodic mobility subject to episodic events that occur both regularly and sporadically. This study provides new insights on episodic mobility in terms of its conceptual and methodological framework and empirical knowledge, which enriches the current mobility research paradigm.
{"title":"The promise of excess mobility analysis: measuring episodic-mobility with geotagged social media data","authors":"Xiao Huang, Yago Martín, Siqin Wang, Mengxi Zhang, X. Gong, Y. Ge, Zhenlong Li","doi":"10.1080/15230406.2021.2023366","DOIUrl":"https://doi.org/10.1080/15230406.2021.2023366","url":null,"abstract":"ABSTRACT Human mobility studies have become increasingly important and diverse in the past decade with the support of social media big data that enables human mobility to be measured in a harmonized and rapid manner. However, what is less explored in the current scholarship is episodic mobility as a special type of human mobility defined as the abnormal mobility triggered by episodic events excess to the normal range of mobility at large. Drawing on a large-scale systematic collection of 1.9 billion geotagged Twitter data from 2017 to 2020, this study contributes to the first empirical study of episodic mobility by producing a daily Twitter census of visitors at the U.S. county level and proposing multiple statistical approaches to identify and quantify episodic mobility. It is followed by four case studies of episodic mobility in U.S. national wide to showcase the great potential of Twitter data and our proposed method to detect episodic mobility subject to episodic events that occur both regularly and sporadically. This study provides new insights on episodic mobility in terms of its conceptual and methodological framework and empirical knowledge, which enriches the current mobility research paradigm.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"464 - 478"},"PeriodicalIF":2.5,"publicationDate":"2022-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48923651","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 : 2022-01-28DOI: 10.1080/15230406.2021.2013945
A. Leśniak, Agnieszka Polończyk, Przemysław Waśniowski
ABSTRACT The article presents the impact of the COVID-19 pandemic on selected types of crime in Krakow and their spatial distribution during the lockdown period during the spring of 2020. We compared crimes committed over a three-month period from March 15 up to 15 June 2020 with crimes committed during the corresponding periods of previous years, i.e. in 2015–2019. To characterize their spatial distribution, we used the Nearest Neighbor Analysis method (NNA). In the next stage of the study, an intensity distribution map was prepared for five different crime categories in 2015–2019 using the kernel function method. The point data layer from 2020 was then superimposed on the intensity layer thus formed. The final step was to examine how generators/attractors affect the spatial clustering of crime before and during the pandemic. These two analyses allowed us to identify variation in those areas with the highest concentration of crime events (“hotspots”) that occurred as well as the impact of generators/attractors on the spatial distribution of crimes. The changes in crime patterns as a result of the pandemic restrictions were compared with existing criminological theories.
{"title":"Variations in the spatial distribution of crime events in an urban environment during the COVID-19 lockdown","authors":"A. Leśniak, Agnieszka Polończyk, Przemysław Waśniowski","doi":"10.1080/15230406.2021.2013945","DOIUrl":"https://doi.org/10.1080/15230406.2021.2013945","url":null,"abstract":"ABSTRACT The article presents the impact of the COVID-19 pandemic on selected types of crime in Krakow and their spatial distribution during the lockdown period during the spring of 2020. We compared crimes committed over a three-month period from March 15 up to 15 June 2020 with crimes committed during the corresponding periods of previous years, i.e. in 2015–2019. To characterize their spatial distribution, we used the Nearest Neighbor Analysis method (NNA). In the next stage of the study, an intensity distribution map was prepared for five different crime categories in 2015–2019 using the kernel function method. The point data layer from 2020 was then superimposed on the intensity layer thus formed. The final step was to examine how generators/attractors affect the spatial clustering of crime before and during the pandemic. These two analyses allowed us to identify variation in those areas with the highest concentration of crime events (“hotspots”) that occurred as well as the impact of generators/attractors on the spatial distribution of crimes. The changes in crime patterns as a result of the pandemic restrictions were compared with existing criminological theories.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"171 - 188"},"PeriodicalIF":2.5,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42169313","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 : 2022-01-25DOI: 10.1080/15230406.2021.2015721
S. Popelka, J. Burian, Marketa Beitlova
ABSTRACT The comparison of multiple maps is a common fundamental process used by geographers to explore the world. The most frequently applied interactive methods for the comparison of maps are multiple view and swipe. Swipe allows the user to interactively drag and overlap two different maps. Multiple view is based on the simultaneous side-by-side display of several maps. The current paper presents an analysis of the use of these two map comparison techniques in an Esri environment using an eye-tracking study which involved 25 participants. The participants completed two different tasks which compared land suitability using two or four maps. Based on an analysis of the recorded data, we compared the effectiveness of these methods through the accuracy of answers, the trial duration, and eye-tracking metrics of the individual compositional elements of the interactive maps. Cognitive processing was investigated through the analysis of dynamic areas of interest. This labor-intensive analysis yielded results which could be visualized using sequence charts. Based on these analyses, we concluded that the participants worked more effectively with multiple views, especially in comparing four maps. Working with swipe in the Esri environment is non-intuitive in comparisons of more than two maps. Many participants instead preferred simple toggling between layers instead of interactive swipe comparisons. However, when swipe was used to compare two maps, the method was more efficient, especially during cognitively demanding tasks.
{"title":"Swipe versus multiple view: a comprehensive analysis using eye-tracking to evaluate user interaction with web maps","authors":"S. Popelka, J. Burian, Marketa Beitlova","doi":"10.1080/15230406.2021.2015721","DOIUrl":"https://doi.org/10.1080/15230406.2021.2015721","url":null,"abstract":"ABSTRACT The comparison of multiple maps is a common fundamental process used by geographers to explore the world. The most frequently applied interactive methods for the comparison of maps are multiple view and swipe. Swipe allows the user to interactively drag and overlap two different maps. Multiple view is based on the simultaneous side-by-side display of several maps. The current paper presents an analysis of the use of these two map comparison techniques in an Esri environment using an eye-tracking study which involved 25 participants. The participants completed two different tasks which compared land suitability using two or four maps. Based on an analysis of the recorded data, we compared the effectiveness of these methods through the accuracy of answers, the trial duration, and eye-tracking metrics of the individual compositional elements of the interactive maps. Cognitive processing was investigated through the analysis of dynamic areas of interest. This labor-intensive analysis yielded results which could be visualized using sequence charts. Based on these analyses, we concluded that the participants worked more effectively with multiple views, especially in comparing four maps. Working with swipe in the Esri environment is non-intuitive in comparisons of more than two maps. Many participants instead preferred simple toggling between layers instead of interactive swipe comparisons. However, when swipe was used to compare two maps, the method was more efficient, especially during cognitively demanding tasks.","PeriodicalId":47562,"journal":{"name":"Cartography and Geographic Information Science","volume":"49 1","pages":"252 - 270"},"PeriodicalIF":2.5,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47507410","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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