scholarly journals Cartography Theory and Map Service Model Based on Constructivism

2021 ◽  
Author(s):  
Tianlin Duo ◽  
Peng Zhang

Map is not only the result of geospatial environment cognition, but also a tool for geospatial environment cognition. The new concept advocated by Constructivist cognitive theory is highly consistent with the concept of map service in the era of Internet plus space-time big data. This paper analyzes the geographic information transmission process from the perspective of constructivism, and constructs the geographic information transmission process model. Based on the traditional map cognitive process model, a map cognitive process model based on constructivism is constructed. According to the four elements of “situation, cooperation, communication and meaning construction” advocated by Constructivist cognitive theory, a map service function model based on constructivism is constructed.

2013 ◽  
Vol 33 (1) ◽  
pp. 266-269 ◽  
Author(s):  
Ming LI ◽  
Shiyi LIU ◽  
Fuzhong NIAN

Author(s):  
Jana B Jarecki ◽  
Jolene H Tan ◽  
Mirjam A Jenny

2018 ◽  
Author(s):  
Thulasee Krishna Dr. S. ◽  
Sreekanth Dr.S. ◽  
Dharanidhar K. N.

2021 ◽  
pp. 1-17
Author(s):  
Yixu Liu ◽  
Xiushan Lu ◽  
Shuqiang Xue ◽  
Shengli Wang

Abstract The layout of seafloor datum points is the key to constructing the seafloor geodetic datum network, and a reliable underwater positioning model is the prerequisite for achieving precise deployment of the datum points. The traditional average sound speed positioning model is generally adopted in underwater positioning due to its simple and efficient algorithm, but it is sensitive to incident angle related errors, which lead to unreliable positioning results. Based on the relationship between incident angle and sound speed, the sound speed function model considering the incident angle has been established. Results show that the accuracy of positioning is easily affected by errors related to the incident angle; the new average sound speed correction model based on the incident angle proposed in this paper is used to significantly improve the underwater positioning accuracy.


Author(s):  
Binbing Song ◽  
Hiroko Itoh ◽  
Yasumi Kawamura

AbstractVessel traffic service (VTS) is important to protect the safety of maritime traffic. Along with the expansion of monitoring area per VTS operator in Tokyo Bay, Japan, inexperienced operators must acquire the ability to quickly and accurately detect conditions that requires attention (CRAs) from a monitoring screen. In our previous study (Song B, Itoh H, Kawamura Y, Fukuto J (2018) Analysis of Cognitive Processes of Operators of Vessel Traffic Service. In: Proceedings of the 2018 International Association of Institutes of Navigation. IAIN 2018, pp 529–534, Song et al., J Jpn Inst Navig 140:48–54, 2019), we established a task analysis method based on the assumption that the cognitive process model consists of three stages: “situational awareness”, “situation judgment”, and “decision making”. A simulation experiment was conducted for VTS operators with different levels of ability and their cognitive processes were compared based on the observation of eye movements. The results showed that the inexperienced operators’ abilities to predict situation changes were lower. And it was considered that oral transmission of the knowledge is difficult, thus new training methods are needed to help the inexperienced operators to understand the prediction methods of experienced operators. In this study, based on the cognitive process of an experienced operator, we analyzed the prediction procedures of situation changes and developed an educational tool called vessel traffic routine (VTR). The training method learning VTR aims to quickly improve inexperienced VTS operators’ abilities to predict situation changes. A simulation verification experiment of the VTR effect was conducted for four inexperienced operators, who were divided into two groups with and without prior explanation of VTR. By evaluating the cognitive processes of inexperienced operators, it was confirmed that those given prior explanations of VTR were better at detecting CRAs.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edward C. Tomlinson ◽  
Christopher A. Nelson ◽  
Luke A. Langlinais

Purpose This paper aims to investigate how the reparative efforts of extensive apologies, compensation and structural change affect trust after a violation has occurred. Specifically, this paper presents a cognitive process model positing that voluntary reparative efforts will shape the victim’s stability attributions for the cause of the violation such that it will be deemed less stable (i.e. unlikely to recur); as a result, the victim is more likely to perceive the transgressor as being fair, and hence extend subsequent trust. Design/methodology/approach Two experiments were conducted to test the cognitive process model. Findings The results of both experiments supported this predicted sequence for extensive apologies. Support for the predicted sequence was also found when compensation and structural change are invoked as reparative efforts. Originality/value This research has theoretical and practical implications for a more nuanced understanding of how causal attribution theory and organizational justice theory can be integrated within the context of trust repair.


1992 ◽  
Author(s):  
Michael E. Parten ◽  
R. R. Rhinehart ◽  
Vikram Singh

2016 ◽  
Vol 693 ◽  
pp. 1684-1692 ◽  
Author(s):  
Hong Lei Zhang ◽  
Wen He Liao ◽  
Yu Guo ◽  
Wen An Yang

Faced with the problem of generation for 3D machining process model, an approach to generate three dimensional machining process model according to information from design model based on definition is proposed. Compared with the existing methods, the approach utilizes multiple information of design model based on definition and takes many phases into consideration of 3D process model generation. The structure of 3D machining process model is defined and the course of 3D process model generation is researched, including multiple information acquirement, generation of procedure geometric models and annotation. Finally, the framework of system and application for 3D machining process model generation are presented for validation purposes.


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