Geographical Data Visualization on Mobile Devices for Useer’s Navigation and Decision Support Activites

2007 ◽  
pp. 261-284 ◽  
Author(s):  
Stefano Burigat ◽  
Luca Chittaro
Author(s):  
Bongshin Lee ◽  
Matthew Brehmer ◽  
Petra Isenberg ◽  
Eun Kyoung Choe ◽  
Ricardo Langner ◽  
...  

2020 ◽  
Vol 698 ◽  
pp. 134168 ◽  
Author(s):  
María T. Alarcón-Herrera ◽  
Daniel A. Martin-Alarcon ◽  
Mélida Gutiérrez ◽  
Liliana Reynoso-Cuevas ◽  
Alejandra Martín-Domínguez ◽  
...  

Author(s):  
Valiantsin Rusovich ◽  
Hennadz Hurevich ◽  
Liudmila Zhylevich ◽  
Dennis Falzon ◽  
Pierpaolo de Colombani ◽  
...  

2018 ◽  
Vol 35 (5) ◽  
pp. 14-17 ◽  
Author(s):  
Zhehan Jiang ◽  
Richard Carter

Purpose This paper aims to provide two real examples to inspire librarians to use modern techniques for data visualization. Design/methodology/approach Two interactive applications were created for visualizing longitudinal and geographical data collected by libraries. Findings R language has high versatility and flexibility in visualizing various types and hierarchy of data under a prevalent Web framework. The two demonstrations provide workflows from data extractions to visualization products. Originality/value Proper visualization assists librarians and administrators to understand data better and gain more insightful prospects. As a result, more scientific decisions can be made for improving libraries operation.


2008 ◽  
pp. 1004-1036
Author(s):  
Andreas Maniatis ◽  
Panos Vassiliadis ◽  
Spiros Skiadopoulos ◽  
Yannis Vassiliou ◽  
George Mavrogonatos ◽  
...  

Data visualization is one of the major issues of database research. OLAP a decision support technology, is clearly in the center of this effort. Thus far, visualization has not been incorporated in the abstraction levels of DBMS architecture (conceptual, logical, physical); neither has it been formally treated in this context. In this paper we start by reconsidering the separation of the aforementioned abstraction levels to take visualization into consideration. Then, we present the Cube Presentation Model (CPM), a novel presentational model for OLAP screens. The proposal lies on the fundamental idea of separating the logical part of a data cube computation from the presentational part of the client tool. Then, CPM can be naturally mapped on the Table Lens, which is an advanced visualization technique from the Human-Computer Interaction area, particularly tailored for cross-tab reports. Based on the particularities of Table Lens, we propose automated proactive support to the user for the interaction with an OLAP screen. Finally, we discuss implementation and usage issues in the context of an academic prototype system (CubeView) that we have implemented.


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