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  • 20 September 2022, Volume 5 Issue 3
    Previous Issue   
    Special Issue
    Future Education of Cartography and GIS: What Is Next?
    Tao WANG
    2022, 5(3):  1-6.  doi:10.11947/j.JGGS.2022.0301
    Abstract ( 54 )   HTML ( 7)   PDF (231KB) ( 45 )  
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    Cartography and maps support the continuous rising of the awareness of the power of spatial data, which further lays a foundation for the popularity of various location based services and applications in society. Cartography and Geographic Information System education has been a core activity in the cartographic academic community for knowledge creation and transfer in higher education institutions. Maps in primary and high schools play a unique role across disciplines to build the spatial thinking capacities of young generations. Over years educators train students via lectures and lab works into which digital technologies are gradually incorporated. The COVID-19 pandemic has been fast forwarding our pace to employ digital technologies in online teaching and learning. Teachers are passively or proactively adapted to conduct their teaching online and redesign their lectures and assessments of students’ performance. On another side, students are getting used to online learning even more quickly with various digital devices in an interactive and collective way. It creates opportunities for cartographic GIS educators to build a body of knowledge for cartography which can be used to build open source educational resources systematically. Further flexible curriculum can be designed and implemented for professional and continuous education and training at various levels. Future education of cartography and GIS can improve map literacy and make a sustainable education.

    Proliferation of Cartographic Education in the Age of Big Data
    Liqiu MENG
    2022, 5(3):  7-18.  doi:10.11947/j.JGGS.2022.0302
    Abstract ( 49 )   HTML ( 5)   PDF (14954KB) ( 49 )  
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    Maps have long been a part of everyday life for the general public, and even more so in today’s knowledge society. No doubt, cartography as a profession of map design is assuming a more important role in the formation of intellectual skills in terms of spatial reasoning. Since its emergence as an academic discipline about 100 years ago, cartography has undergone many paradigm shifts. Its interaction with other disciplines has also constantly unfolded. These changes have left traces in cartographic education programs. In the age of big data, however, we are facing four fundamental challenges: (1) cartographic courses are being marginalized or even disappearing from degree programs in geospatial sciences; (2) the role of cartographers is increasingly eclipsed as a side effect of participatory cartography; (3) cartographers are blamed whenever something goes wrong with map use; and (4) professional map publishers can hardly compete with online mapping platforms dominated by Internet giants. Based on a contextual analysis of this seemingly gloomy situation, the paper reveals a number of proliferation points for the design of future cartographic curricula. First, cartography, once dedicated to supporting geospatial sciences, is thriving in the soil of data science, mapping not only the earth or other celestial bodies, but literally any kind of virtual space. Second, cartography has benefited from theoretical and technological advances in cognitive sciences, especially non-intrusive user studies, so that spatial cognition is becoming an integral component of cartographic education. Third, the role of scapegoat for wrongdoing of maps has accentuated cartographer’s overarching responsibility for quality and ethical issues in the geodata value chain. Finally, the diversification of the labor market requires new approaches to prepare future talents for a coopetition-oriented ecosystem in the marketplace.

    A New Kind of GeoInformatics Built on Living Structure and on the Third View of Space
    Bin JIANG
    2022, 5(3):  19-32.  doi:10.11947/j.JGGS.2022.0303
    Abstract ( 36 )   HTML ( 5)   PDF (8339KB) ( 29 )  
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    The third view of space states that space is neither lifeless nor neutral, but a living structure capable of being more living or less living. The living structure is defined as a physical and mathematical structure or simply characterized by the recurring notion (or the inherent hierarchy) of far more small substructures than large ones. The more substructures the more living, and the higher hierarchy of the substructures the more living. This paper seeks to lay out a new kind of GeoInformatics on the notion of living structure and on the third view of space. The new GeoInformatics aims not only to better understand the forms and processes of everyday space but also-maybe more importantly-to make the space or the Earth’s surface living or more living. We introduce two fundamental laws of living structure: Tobler’s law on spatial dependence or homogeneity and scaling law on spatial interdependence or heterogeneity. We further argue that these two laws favor statistics over exactitude, because the statistics tend to make a structure more living than the exactitude. We present the concept of living structure through some working examples and make it clear how a living structure differs from a non-living or less-living structure. In order to make a structure or space living or more living, we introduce two design principles-differentiation and adaptation-using two paintings and two city plans as working examples. The new GeoInformatics is a science of living structure, dealing with a wide range of scales of the everyday space, from the smallest scale of ornaments on walls to the scale of the entire Earth’s surface.

    Approximately Conformal, Equivalent and Equidistant Map Projections
    Miljenko LAPAINE,Nedjeljko FRANČULA
    2022, 5(3):  33-40.  doi:10.11947/j.JGGS.2022.0304
    Abstract ( 70 )   HTML ( 1)   PDF (994KB) ( 26 )  
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    If geodetic coordinates from an ellipsoid are included in the equations of a projection for mapping a sphere instead of geographical coordinates, the result will be a projection of the ellipsoid into a plane. This will slightly change the distortion distribution of the initial map projection. The question is to what extent the replacement of geographical with geodetic coordinates will affect this change. In this paper, we deal with conformal, equal-area and equidistant projections of the sphere, which we modify by using geodetic coordinates instead of geographical ones. The result will be an approximately conformal, approximately equal-area and approximately equidistant projection. It is shown that in this case the maximum distortion of the angles in approximately conformal projections will be approximately 23.09', the maximum distortion of the area in approximately equal-area projections less than 0.7% and the maximum distortion of lengths in approximately equidistant projections less than 0.7%, therefore on the maps imperceptible.

    Underpinning Aspects of Developing a Cartographic Curriculum
    Georg GARTNER
    2022, 5(3):  41-50.  doi:10.11947/j.JGGS.2022.0305
    Abstract ( 53 )   HTML ( 3)   PDF (2509KB) ( 40 )  
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    Educating the future generation of modern cartographers, being able to deal with the rapid changes of modern technologies and developing the skills and competences to not only being able to cope with those challenges but also to be able to contribute to develop the domain further, has become a rising concern of many. In this paper, the experiences of setting up an International MSc program are shared as well as some reasoning for the development of an underpinning curriculum are given.

    Exploring the Innovative Teaching Mode of Geomatics Based on the Teaching Cloud Platform
    Hongrui ZHAO,Yiting CAO,Xuchun LIU
    2022, 5(3):  51-57.  doi:10.11947/j.JGGS.2022.0306
    Abstract ( 25 )   HTML ( 4)   PDF (4449KB) ( 16 )  
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    Geomatics is an interdisciplinary subject. Many disciplines have teaching demands in this field. A new course on “Geomatics Technology” has been suggested by the Weiyang College of Tsinghua University of China for the major of “Mathematical and Scientific Basic Science+Civil, Hydraulic and Marine Engineering”. This paper offers a data-led geomatics teaching mode, developing a customized teaching cloud platform, to explore the cross-integrated innovative teaching methods. Teachers and students can assign and submit assignments on this platform. The platform constitutes a data flow with the data download, data processing and result sharing. It encourages communication among students in various majors, grades and units using data as the medium, from data processing to application upstream and downstream. In the “Geomatics Technology” course, geospatial data has emerged as a vital element of the multidisciplinary approach. This kind of teaching mode has been used in the postgraduate remote sensing course offered by Tsinghua University’s Department of Civil Engineering and Construction Management. Furthermore, the mode will be used for the first time in the autumn semester of 2022 in the undergraduate teaching of Weiyang College and civil engineering, to offer a novel idea for the reform of courses linked to geospatial informatics.

    Exploration and Application of Ubiquitous Mapping in Engineering Practice Courses in the Intelligence Age
    Wei LI,Xukang XIE,Haowen YAN,Van Der Meijde MARK,Lulu LIU,Qianwen WANG,Pengcheng GAO,Hongyuan YU
    2022, 5(3):  58-66.  doi:10.11947/j.JGGS.2022.0307
    Abstract ( 21 )   HTML ( 4)   PDF (5070KB) ( 21 )  
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    In the current era of digital surveying and mapping to intelligent surveying and mapping, ubiquitous surveying and mapping has brought many opportunities and challenges to college engineering course teaching. With the development of ubiquitous surveying and mapping, college engineering practice courses urgently need to respond to ubiquitous surveying and mapping. The research aims to integrate the development of ubiquitous surveying and mapping into the teaching of engineering practice courses in colleges, including promoting Android, Brower/Server (B/S), and Client/Server (C/S) to build a platform for practice courses. This also incorporates real development cases in measurement data processing such as gravity field refinement. In this way, the teaching level of engineering practice courses in colleges can be improved, and new ideas can be put forward for cultivating surveying and mapping talents in the new era in colleges. Finally, it can also provide new ideas for the organization of surveying and mapping practice courses under the background of the pandemic.

    The Dialectical Relationship between “Changing” and “Unchanging” in GIS Practice Teaching in the Social Transition Period
    Huihui FENG,Wei WANG,Bin ZOU
    2022, 5(3):  67-77.  doi:10.11947/j.JGGS.2022.0308
    Abstract ( 79 )   HTML ( 6)   PDF (398KB) ( 19 )  
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    New requirements have been proposed for GIS practice teaching in colleges and universities in response to the developmental changes of national and industrial sectors during the social transition. Meanwhile, the underlying core characteristics of GIS should remain unchanged in GIS teaching to ensure they serve as the inherent attributes distinguishing GIS from other disciplines. Therefore, the clarification of the dialectical relationship between “changing” and “unchanging” in GIS practice teaching becomes the primary issue to address in relevant teaching reform. To address this issue, the present study systematically analyzes the structural contradictions in GIS practice teaching in the social transition period, and then closely examines the dialectical relationship between “changing” and “unchanging” from the key aspects of educational philosophy, teaching content, teaching methodology, and teaching assessment. Next, using the course of “GIS Practice Design” at the Central South University as an example, the present study describes this university’s reform and inheritance in GIS practice teaching, aiming to provide reference for GIS practice teaching in other universities or majors.

    Network SpaceTime AI: Concepts, Methods and Applications
    Tao CHENG,Yang ZHANG,James HAWORTH
    2022, 5(3):  78-92.  doi:10.11947/j.JGGS.2022.0309
    Abstract ( 25 )   HTML ( 4)   PDF (12119KB) ( 29 )  
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    SpacetimeAI and GeoAI are currently hot topics, applying the latest algorithms in computer science, such as deep learning, to spatiotemporal data. Although deep learning algorithms have been successfully applied to raster data due to their natural applicability to image processing, their applications in other spatial and space-time data types are still immature. This paper sets up the proposition of using a network (&graph)-based framework as a generic spatial structure to present space-time processes that are usually represented by the points, polylines, and polygons. We illustrate network and graph-based SpaceTimeAI, from graph-based deep learning for prediction, to space-time clustering and optimisation. These applications demonstrate the advantages of network (graph)-based SpacetimeAI in the fields of transport&mobility, crime&policing, and public health.

    A Vision-aided Localization and Geo-registration Method for Urban ARGIS Based on 2D Maps
    Chen DENG,Xiong YOU,Weiwei ZHANG,Meixia ZHI,Diao LIN,Wang XU
    2022, 5(3):  93-110.  doi:10.11947/j.JGGS.2022.0310
    Abstract ( 36 )   HTML ( 4)   PDF (20466KB) ( 33 )  
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    Augmented Reality Geographic Information System (ARGIS) applications can only provide users accurate content services with a highly precise geo-registration. However, the absolute 6DOF (Degree of Freedom) pose provided by the portable sensors is usually inaccurate in urban outdoors, resulting in poorly geo-registration accuracy for ARGIS applications. Aiming at this issue, an automatic vision-aided localization method based on the 2D map is proposed to improve the initial localization accuracy of the portable sensors, and an overall geo-registration optimization framework for outdoor ARGIS is proposed. Based on the initial pose provided by the sensors, the basic principles of the vision-aided localization method are expounded in detail. The experimental results show that the proposed method can effectively correct the initial pose obtained by the pose sensors, and improve the geo-registration accuracy of outdoor ARGIS applications ultimately.

  • 2022, Vol. 5 No.2 No.1
    2021, Vol. 4 No.4 No.3 No.2 No.1
    2020, Vol. 3 No.4 No.3 No.2 No.1
    2019, Vol. 2 No.4 No.3 No.2 No.1
    2018, Vol. 1 No.1
  • Entering a New Era of InSAR: Advanced Techniques and Emerging Applications
    Zhenhong LI,Chen YU,Ruya XIAO,Wu ZHU
    2022 Vol. 5 (1): 1-4 doi: 10.11947/j.JGGS.2022.0101
    Abstract( 225 )   HTML    PDF (189KB) (213) 
    Spatial and Temporal Evolution of Surface Subsidence in Tianjin from 2015 to 2020 Based on SBAS-InSAR Technology
    Lyu ZHOU,Yizhan ZHAO,Zilin ZHU,Chao REN,Fei YANG,Ling HUANG,Xin LI
    2022 Vol. 5 (1): 60-72 doi: 10.11947/j.JGGS.2022.0107
    Abstract( 123 )   HTML    PDF (34589KB) (60) 
    Design Bistatic Interferometric DEM Generation Algorithm and Its Theoretical Accuracy Analysis for LuTan-1 Satellites
    Bing XU,Liqun LIU,Zhiwei LI,Yan ZHU,Jingxin HOU,Wenxiang MAO
    2022 Vol. 5 (1): 25-38 doi: 10.11947/j.JGGS.2022.0104
    Abstract( 110 )   HTML    PDF (5320KB) (83) 
    Low-Rank and Sparse Representation with Adaptive Neighborhood Regularization for Hyperspectral Image Classification
    Zhaohui XUE,Xiangyu NIE
    2022 Vol. 5 (1): 73-90 doi: 10.11947/j.JGGS.2022.0108
    Abstract( 104 )   HTML    PDF (23692KB) (202) 
    A Comparative Study of Ionospheric Correction on SAR Interferometry—A Case Study of L’Aquila Earthquake
    Yufang HE,Wu ZHU,Yang LEI,Qin ZHANG,Zhenhong LI
    2022 Vol. 5 (1): 5-13 doi: 10.11947/j.JGGS.2022.0102
    Abstract( 104 )   HTML    PDF (10026KB) (67) 
    Normal Fault Slips of the March 2021 Greece Earthquake Sequence from InSAR Observations
    Chuang SONG,Chen YU,Gauhar MELDEBEKOVA,Zhenhong LI
    2022 Vol. 5 (1): 50-59 doi: 10.11947/j.JGGS.2022.0106
    Abstract( 100 )   HTML    PDF (16621KB) (64) 
    Remote Sensing and Forest Carbon Monitoring—a Review of Recent Progress, Challenges and Opportunities
    Chengquan HUANG,Weishu GONG,Yong PANG
    2022 Vol. 5 (2): 124-147 doi: 10.11947/j.JGGS.2022.0212
    Abstract( 99 )   HTML    PDF (1031KB) (78) 
    Detection, Estimation and Compensation of Ionospheric Effect on SAR Interferogram Using Azimuth Shift
    Wu ZHU,Yang LEI,Quan SUN
    2022 Vol. 5 (1): 14-24 doi: 10.11947/j.JGGS.2022.0103
    Abstract( 93 )   HTML    PDF (32225KB) (179) 
    A Novel Unsupervised Change Detection Method with Structure Consistency and GFLICM Based on UAV Images
    Wensong LIU,Xinyuan JI,Jie LIU,Fengcheng GUO,Zongqiao YU
    2022 Vol. 5 (1): 91-102 doi: 10.11947/j.JGGS.2022.0109
    Abstract( 82 )   HTML    PDF (29665KB) (244) 
    Locating the Small 1999 Frenchman Flat, Nevada Earthquake with InSAR Stacking
    Zhenhong LI
    2022 Vol. 5 (1): 39-49 doi: 10.11947/j.JGGS.2022.0105
    Abstract( 79 )   HTML    PDF (28121KB) (45) 
    The Dialectical Relationship between “Changing” and “Unchanging” in GIS Practice Teaching in the Social Transition Period
    Huihui FENG,Wei WANG,Bin ZOU
    2022 Vol. 5 (3): 67-77 doi: 10.11947/j.JGGS.2022.0308
    Abstract( 79 )   HTML    PDF (398KB) (19) 
    Approximately Conformal, Equivalent and Equidistant Map Projections
    Miljenko LAPAINE,Nedjeljko FRANČULA
    2022 Vol. 5 (3): 33-40 doi: 10.11947/j.JGGS.2022.0304
    Abstract( 70 )   HTML    PDF (994KB) (26) 
    Spatial Humanities and Geo-computation for Social Sciences:Advances and Applications
    Kun QIN,Hui LIN,Yang YUE,Feng ZHANG,Jianya GONG
    2022 Vol. 5 (2): 1-6 doi: 10.11947/j.JGGS.2022.0201
    Abstract( 70 )   HTML    PDF (234KB) (37) 
    Future Education of Cartography and GIS: What Is Next?
    Tao WANG
    2022 Vol. 5 (3): 1-6 doi: 10.11947/j.JGGS.2022.0301
    Abstract( 54 )   HTML    PDF (231KB) (45) 
    Underpinning Aspects of Developing a Cartographic Curriculum
    Georg GARTNER
    2022 Vol. 5 (3): 41-50 doi: 10.11947/j.JGGS.2022.0305
    Abstract( 53 )   HTML    PDF (2509KB) (40) 
    Proliferation of Cartographic Education in the Age of Big Data
    Liqiu MENG
    2022 Vol. 5 (3): 7-18 doi: 10.11947/j.JGGS.2022.0302
    Abstract( 49 )   HTML    PDF (14954KB) (49) 
    From Digitalized to Intelligentized Surveying and Mapping: Fundamental Issues and Research Agenda
    Jun CHEN,Zhilin LI,Songnian LI,Wanzeng LIU,Hao WU,Li YAN
    2022 Vol. 5 (2): 148-160 doi: 10.11947/j.JGGS.2022.0213
    Abstract( 46 )   HTML    PDF (2675KB) (74) 
    Understanding Citizens’emotion States under the Urban Livability Environment through Social Media Data: a Case Study of Wuhan
    Lai CHEN,Chaogui KANG,Chao YANG
    2022 Vol. 5 (2): 49-59 doi: 10.11947/j.JGGS.2022.0206
    Abstract( 42 )   HTML    PDF (8167KB) (26) 
    Estimating the Spatial Variation of Electricity Consumption Anomalies and the Influencing Factors
    Yuyun LIANG,Yao YAO,Xiaoqin YAN,Qingfeng GUAN
    2022 Vol. 5 (2): 29-37 doi: 10.11947/j.JGGS.2022.0204
    Abstract( 39 )   HTML    PDF (4998KB) (17) 
    Urban Development Boundary Simulation Based on “Double Evaluation” and FLUS Model
    Xuchen JIANG,Meng WANG,Gang XU,Bingwang FANG,Kun QIN,Rui XIAO
    2022 Vol. 5 (2): 7-18 doi: 10.11947/j.JGGS.2022.0202
    Abstract( 37 )   HTML    PDF (12258KB) (16) 
    A New Kind of GeoInformatics Built on Living Structure and on the Third View of Space
    Bin JIANG
    2022 Vol. 5 (3): 19-32 doi: 10.11947/j.JGGS.2022.0303
    Abstract( 36 )   HTML    PDF (8339KB) (29) 
    A Vision-aided Localization and Geo-registration Method for Urban ARGIS Based on 2D Maps
    Chen DENG,Xiong YOU,Weiwei ZHANG,Meixia ZHI,Diao LIN,Wang XU
    2022 Vol. 5 (3): 93-110 doi: 10.11947/j.JGGS.2022.0310
    Abstract( 36 )   HTML    PDF (20466KB) (33) 
    GIS Based FLMP Solving in Densely Populated City Areas: a Case Study in Singapore
    Yu Ning Hazel ANG,CAO Kai
    2022 Vol. 5 (2): 111-123 doi: 10.11947/j.JGGS.2022.0211
    Abstract( 36 )   HTML    PDF (9391KB) (12) 
    The Extent and Effectiveness of Protected Areas in the Russian Federation
    Kseniia SERGEEVA,Hui LIN
    2022 Vol. 5 (2): 75-84 doi: 10.11947/j.JGGS.2022.0208
    Abstract( 33 )   HTML    PDF (6137KB) (14) 
    Spatial-temporal Analysis of Emotions in Society in News
    An HUAI,Xueying ZHANG,Weicheng AI,Tianyang CAO
    2022 Vol. 5 (2): 98-110 doi: 10.11947/j.JGGS.2022.0210
    Abstract( 31 )   HTML    PDF (10391KB) (127) 
    Temporal-spatial Distribution of Various Types of Crime in the Special Wards of Tokyo
    Zhuo LIU,Hui LIN,Qinghua HE,Yuling WANG
    2022 Vol. 5 (2): 19-28 doi: 10.11947/j.JGGS.2022.0203
    Abstract( 27 )   HTML    PDF (8144KB) (26) 
    Data Mining and Spatial Analysis of Social Media Text Based on the BERT-CNN Model to Achieve Situational Awareness: a Case Study of COVID-19
    Jiawei ZHANG,Hua QI
    2022 Vol. 5 (2): 38-48 doi: 10.11947/j.JGGS.2022.0205
    Abstract( 25 )   HTML    PDF (17185KB) (13) 
    Network SpaceTime AI: Concepts, Methods and Applications
    Tao CHENG,Yang ZHANG,James HAWORTH
    2022 Vol. 5 (3): 78-92 doi: 10.11947/j.JGGS.2022.0309
    Abstract( 25 )   HTML    PDF (12119KB) (29) 
    Exploring the Innovative Teaching Mode of Geomatics Based on the Teaching Cloud Platform
    Hongrui ZHAO,Yiting CAO,Xuchun LIU
    2022 Vol. 5 (3): 51-57 doi: 10.11947/j.JGGS.2022.0306
    Abstract( 25 )   HTML    PDF (4449KB) (16) 
    Spatial Interaction Network Analysis of Crude Oil Trade Relations between Countries along the Belt and Road
    Qixin WANG,Kun QIN,Donghai LIU,Gang XU,Yanqing XU,Yang ZHOU,Rui XIAO
    2022 Vol. 5 (2): 60-74 doi: 10.11947/j.JGGS.2022.0207
    Abstract( 22 )   HTML    PDF (18532KB) (11) 
ISSN 2096-1650(Online)
ISSN 2096-5990(Print)
CN 10-1544/P

The Journal of Geodesy and Geoinformation Science is an official quarterly scientific publication. This journal is supervised by China Association for Science and Technology, sponsored by Chinese Society for Geodesy, Photogrammetry and Cartography and SinoMaps Press Co., Ltd. And it is published by Surveying and Mapping Press Co., Ltd.

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