An Improved Spatial Data Structure for Web-based Large-scale 3D Scene

2019 ◽  
Author(s):  
Jiaxi Chen ◽  
Wei Fang
Keyword(s):  
Data Structure ◽  
Spatial Data ◽  
Large Scale ◽  
Web Based ◽  
Spatial Data Structure ◽  
3D Scene

scholarly journals The Design and Testing of 3DmoveR: an Experimental Tool for Usability Studies of Interactive 3D Maps

2018 ◽  
pp. 31-63 ◽  
Author(s):  
Lukáš Herman ◽  
Tomáš Řezník ◽  
Zdeněk Stachoň ◽  
Jan Russnák
Keyword(s):  
Spatial Data ◽  
Response Times ◽  
3D Visualization ◽  
User Interaction ◽  
Google Earth ◽  
Web Based ◽  
3D Environments ◽  
Camera Position ◽  
Interactive 3D ◽  
3D Scene

Various widely available applications such as Google Earth have made interactive 3D visualizations of spatial data popular. While several studies have focused on how users perform when interacting with these with 3D visualizations, it has not been common to record their virtual movements in 3D environments or interactions with 3D maps. We therefore created and tested a new web-based research tool: a 3D Movement and Interaction Recorder (3DmoveR). Its design incorporates findings from the latest 3D visualization research, and is built upon an iterative requirements analysis. It is implemented using open web technologies such as PHP, JavaScript, and the X3DOM library. The main goal of the tool is to record camera position and orientation during a user’s movement within a virtual 3D scene, together with other aspects of their interaction. After building the tool, we performed an experiment to demonstrate its capabilities. This experiment revealed differences between laypersons and experts (cartographers) when working with interactive 3D maps. For example, experts achieved higher numbers of correct answers in some tasks, had shorter response times, followed shorter virtual trajectories, and moved through the environment more smoothly. Interaction-based clustering as well as other ways of visualizing and qualitatively analyzing user interaction were explored.

An innovative linear unsupervised space adjustment by keeping low-level spatial data structure

2018 ◽  
Vol 59 (2) ◽  
pp. 437-464 ◽  
Author(s):  
Samad Nejatian ◽  
Vahideh Rezaie ◽  
Hamid Parvin ◽  
Mohamadamin Pirbonyeh ◽  
Karamolah Bagherifard ◽  
...  
Keyword(s):  
Data Structure ◽  
Spatial Data ◽  
Low Level ◽  
Spatial Data Structure

scholarly journals An Integrated Approach to 3D Web Visualization of Cultural Heritage Heterogeneous Datasets

2019 ◽  
Vol 11 (21) ◽  
pp. 2508 ◽  
Author(s):  
Argyro-Maria Boutsi ◽  
Charalabos Ioannidis ◽  
Sofia Soile
Keyword(s):  
Cultural Heritage ◽  
Programming Languages ◽  
Large Scale ◽  
User Interaction ◽  
Holistic Approach ◽  
Integrated Approach ◽  
3D Models ◽  
Data Interoperability ◽  
Web Based ◽  
3D Scene

The evolution of the high-quality 3D archaeological representations from niche products to integrated online media has not yet been completed. Digital archives of the field often lack multimodal data interoperability, user interaction and intelligibility. A web-based cultural heritage archive that compensates for these issues is presented in this paper. The multi-resolution 3D models constitute the core of the visualization on top of which supportive documentation data and multimedia content are spatial and logical connected. Our holistic approach focuses on the dynamic manipulation of the 3D scene through the development of advanced navigation mechanisms and information retrieval tools. Users parse the multi-modal content in a geo-referenced way through interactive annotation systems over cultural points of interest and automatic narrative tours. Multiple 3D and 2D viewpoints are enabled in real-time to support data inspection. The implementation exploits front-end programming languages, 3D graphic libraries and visualization frameworks to handle efficiently the asynchronous operations and preserve the initial assets’ accuracy. The choice of Greece’s Meteora, UNESCO world site, as a case study accounts for the platform’s applicability to complex geometries and large-scale historical environments.

scholarly journals Modelling the impact of MAUP on environmental drivers for Schistosoma japonicum prevalence

2020 ◽  
Author(s):  
Andrea Araujo Navas ◽  
Frank Osei ◽  
Ricardo J. Soares Magalhães ◽  
Lydia R. Leonardo ◽  
Alfred Stein
Keyword(s):  
Risk Factors ◽  
Data Structure ◽  
Schistosoma Japonicum ◽  
Spatial Data ◽  
Environmental Data ◽  
Environmental Drivers ◽  
Parameter Estimates ◽  
Reliable Parameter ◽  
Spatial Data Structure ◽  
Spatial Support

Abstract Background: The modifiable areal unit problem (MAUP) arises when the support size of a spatial variable affects the relationship between prevalence and environmental risk factors. Its effect on Schistosomiasis modelling studies could lead to unreliable parameter estimates. The present research aims to quantify MAUP effects on environmental drivers of Schistosoma japonicum infection by (i) bringing all covariates to the same spatial support, (ii) estimating individual-level regression parameters at 30 m, 90 m, 250 m, 500 m, and 1 km spatial supports, and (iii) quantifying the differences between parameter estimates using five models.Methods: We modelled the prevalence of Schistosoma japonicum using sub-provinces health outcome data and pixel-level environmental data. We estimated and compared regression coefficients from convolution models using Bayesian statistics. Results: Increasing the spatial support to 500 m gradually increased the parameter estimates and their associated uncertainties. Abrupt changes in the parameter estimates occur at 1 km spatial support, resulting in loss of significance of almost all the covariates. No significant differences were found between the predicted values and their uncertainties from the five models. We provide suggestions to define an appropriate spatial data structure for modelling that gives more reliable parameter estimates and a clear relationship between risk factors and the disease. Conclusions: Inclusion of quantified MAUP effects was important in this study on schistosomiasis. This will support helminth control programs by providing reliable parameter estimates at the same spatial support, and suggesting the use of an adequate spatial data structure, to generate reliable maps that could guide efficient mass drug administration campaigns.

A fault tolerant peer-to-peer spatial data structure

2016 ◽  
Vol 10 (4) ◽  
pp. 874-886
Author(s):  
Pouya Bisadi ◽  
Zahra Mirikharaji ◽  
Bradford G. Nickerson
Keyword(s):  
Data Structure ◽  
Spatial Data ◽  
Fault Tolerant ◽  
Peer To Peer ◽  
Spatial Data Structure
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