A spatial data generalization method for online vector data 3D visualization

2007 ◽  
Author(s):  
Min Sun ◽  
Zhipeng Wang ◽  
Dan Yin ◽  
Huan Wu
Keyword(s):  
Spatial Data ◽  
3D Visualization ◽  
Vector Data ◽  
Data Generalization

Research on Generalization Technology of Spatial Line Vector Data

2014 ◽  
Vol 687-691 ◽  
pp. 1153-1156
Author(s):  
Shi Qing Dou ◽  
Xiao Yu Zhang
Keyword(s):  
Spatial Data ◽  
Three Dimensional ◽  
Vector Data ◽  
Advantages And Disadvantages ◽  
3D Environment ◽  
Development Direction ◽  
The Future ◽  
2D And 3D ◽  
Data Generalization

Data simplification is an important factor of the spatial data generalization, which is an effective way to improve rendering speed. This paper firstly introduces the algorithms classification of the spatial line vector data in two-dimensional environment, and then it emphatically summarizes and analyzes the advantages and disadvantages of the algorithms which can be used in the spatial line vector data simplification in the three dimensional environment. The three-dimensional Douglas-Peucker algorithm with a certain overall characteristics has wide application prospect. The simplified algorithms in 3D environment represent the development direction of the future. But at present, the existing data simplification algorithms in 3D environment are not mature enough, they all have certain advantages and disadvantages, this makes their use is limited by a certain extent. The application of these simplified algorithms in 2D and 3D is mostly on multi-resolution expression. Developing from 2D algorithm to the direction of 3D algorithm, it also lists many works and problems that need us to do and study in the future.

scholarly journals VECTOR AND RASTER DATA LAYERED FUSION AND 3D VISUALIZATION

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 1127-1134
Author(s):  
Y. S. Huang ◽  
G. Q. Zhou ◽  
T. Yue ◽  
H. B. Yan ◽  
W. X. Zhang ◽  
...  
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
3D Visualization ◽  
Original Data ◽  
Vector Data ◽  
Raster Data ◽  
Oracle Database ◽  
Data Table ◽  
Fusion Data ◽  
Elevation Data

Abstract. Although contemporary geospatial science has made great progress, spatial data fusion of vector and raster data is still a problem in the geoinformation science environment. In order to solve the problem, this paper proposes a method which merges vector and raster data. Firstly, the row and column numbers of the raster data, and the X, Y values of the vector data are represented by Morton code in the C++ environment, respectively. Secondly, we establish the the raster data table and the vector data table in the Oracle database to store the vector data and the raster data. Third, this paper uses the minimum selection bounding box method to extract the top data of the building model. Finally, we divide the vector and raster data into four steps to obtain the fusion data table, and we call the fusion data in the database for 3D visualization. This method compresses the size of data of the original data, and simultaneously divides the data into three levels, which not only solves the problem of data duplication storage and unorganized storage, but also can realize vector data storage and the raster data storage in the same database at the same time. Thus, the fusion original orthophoto data contains the gray values of building roofs and the elevation data, which can improve the availability of vector data and the raster data in the 3D Visualization application.

scholarly journals Olomouc - Possibilities of Geovisualization of the Historical City

2011 ◽  
Vol 6 ◽  
pp. 267-274
Author(s):  
Stanislav Popelka ◽  
Alžběta Brychtová
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
18Th Century ◽  
3D Visualization ◽  
3D Models ◽  
Google Earth ◽  
Point Of View ◽  
World Heritage Site ◽  
Historical Maps ◽  
The City

Olomouc, nowadays a city with 100,000 inhabitants, has always been considered as one of the most prominent Czech cities. It is a social and economical centre, which history started just about the 11th century. The present appearance of the city has its roots in the 18th century, when the city was almost razed to the ground after the Thirty years’ war and a great fire in 1709. After that, the city was rebuilt to a baroque military fortress against Prussia army. At the beginning of the 20th century the majority of the fortress was demolished. Character of the town is dominated by the large number of churches, burgher’s houses and other architecturally significant buildings, like a Holy Trinity Column, a UNESCO World Heritage Site. Aim of this project was to state the most suitable methods of visualization of spatial-temporal change in historical build-up area from the tourist’s point of view, and to design and evaluate possibilities of spatial data acquisition. There are many methods of 2D and 3D visualization which are suitable for depiction of historical and contemporary situation. In the article four approaches are discussed comparison of historical and recent pictures or photos, overlaying historical maps over the orthophoto, enhanced visualization of historical map in large scale using the third dimension and photorealistic 3D models of the same area in different ages. All mentioned methods were geolocalizated using the Google Earth environment and multimedia features were added to enhance the impression of perception. Possibilities of visualization, which were outlined above, were realized on a case study of the Olomouc city. As a source of historical data were used rapport plans of the bastion fortress from the 17th century. The accuracy of historical maps was confirmed by cartometric methods with use of the MapAnalyst software. Registration of the spatial-temporal changes information has a great potential in urban planning or realization of reconstruction and particularly in the propagation of the region and increasing the knowledge of citizens about the history of Olomouc.

scholarly journals DEVELOPMENT OF A HETEROGENIC DISTRIBUTED ENVIRONMENT FOR SPATIAL DATA PROCESSING USING CLOUD TECHNOLOGIES

2016 ◽  
Vol XLI-B4 ◽  
pp. 385-390
Author(s):  
A. S. Garov ◽  
I. P. Karachevtseva ◽  
E. V. Matveev ◽  
A. E. Zubarev ◽  
I. V. Florinsky
Keyword(s):  
Data Processing ◽  
Spatial Data ◽  
3D Visualization ◽  
New Technology ◽  
Main Idea ◽  
Remote Sensing Data ◽  
Data Access ◽  
Working Environment ◽  
Software Environment ◽  
Spatial Data Processing

We are developing a unified distributed communication environment for processing of spatial data which integrates web-, desktop- and mobile platforms and combines volunteer computing model and public cloud possibilities. The main idea is to create a flexible working environment for research groups, which may be scaled according to required data volume and computing power, while keeping infrastructure costs at minimum. It is based upon the "single window" principle, which combines data access via geoportal functionality, processing possibilities and communication between researchers. Using an innovative software environment the recently developed planetary information system (<a href="http://cartsrv.mexlab.ru/geoportal"target="_blank">http://cartsrv.mexlab.ru/geoportal</a>) will be updated. The new system will provide spatial data processing, analysis and 3D-visualization and will be tested based on freely available Earth remote sensing data as well as Solar system planetary images from various missions. Based on this approach it will be possible to organize the research and representation of results on a new technology level, which provides more possibilities for immediate and direct reuse of research materials, including data, algorithms, methodology, and components. The new software environment is targeted at remote scientific teams, and will provide access to existing spatial distributed information for which we suggest implementation of a user interface as an advanced front-end, e.g., for virtual globe system.

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.

The prediction of reservoir production based proxy model considering spatial data and vector data

2021 ◽  
pp. 109694
Author(s):  
Kai Zhang ◽  
Xiaoya Wang ◽  
Xiaopeng Ma ◽  
Jian Wang ◽  
Yongfei Yang ◽  
...  
Keyword(s):  
Spatial Data ◽  
Vector Data ◽  
Proxy Model

3D Visualization for Hydrocarbon Project Design

2008 ◽  
Author(s):  
Scott Neurauter ◽  
Sabrina Szeto ◽  
Matt Tindall ◽  
Yan Wong ◽  
Chris Wright
Keyword(s):  
Spatial Data ◽  
3D Visualization ◽  
Dimensional Space ◽  
Three Dimensional ◽  
3D Models ◽  
3D Analysis ◽  
Cost Efficient ◽  
Ground Truthing ◽  
Elevation Model ◽  
Visualization Techniques

3D visualization is the process of displaying spatial data to simulate and model a real three dimensional space. Using 3D visualization, Geomatic professionals are enabling pipeline engineers to make better decisions by providing an increased understanding of potential costs earlier in the design process. This paper will focus on the value of visualizing Digital Elevation Model (DEM) data through the use of hillshades and imagery-draped 3D models. From free online DEM data to high resolution Light Detection and Ranging (LiDAR) derived DEM data, the increased availability allows for a broader use of 3D visualization techniques beyond 3D analysis. Of the numerous sources available, two DEM sources will be discussed in this paper, the free low resolution DEM (CDED Level 1) and the more costly but higher resolution LiDAR based DEM. Traditional methods of evaluating potential locations for route and facilities involved a significant cost for ground truthing. Through the use of 3D visualization products, multiple potential locations can be examined for suitability without the expense of field visits for every candidate site. By focusing on the selected candidate locations using a visual desktop study, the time and expense of ground truthing all of the potential sites can be reduced significantly. Exploiting the visual value of DEM permits a productive and cost efficient methodology for initial route and facility placement on hydrocarbon projects.

3D Visualization for Detailed Sedimentary-Facies Modeling of Lishui Depression, East China Sea Basin

2013 ◽  
Vol 442 ◽  
pp. 489-493 ◽  
Author(s):  
Jin Shui Liu ◽  
Xue Li ◽  
Jin Laing Zhang ◽  
Cun Lei Li
Keyword(s):  
Spatial Data ◽  
Structural Changes ◽  
3D Visualization ◽  
Sedimentary Environment ◽  
Sedimentary Facies ◽  
Time Dimension ◽  
Facies Modeling ◽  
Geological Body ◽  
Indicator Simulation ◽  
Adaptive Visualization

Geological body is the product of the geological evolution in the time dimension and is also the record and the process of structural changes and sequence changes presenting in 3D configuration, so 3D visualization for sedimentary-facies modeling can results in a large quantity of spatial data which can be used for detailed sedimentary-facies modeling. Lishui Depression is taken for an example and the lower of Mingyuefeng Formation is the target formation for this study. Based on the analysis of sequence cycles and sedimentary environment and interpretation of 3D geological objects, the detailed 3D sedimentary-facies model for the lower Mingyuefeng Formation is built with Sequential Indicator Simulation. Then the 3D visualization of local sedimentary-facies is detailedly presented through fence models and profile models. The results prove that the methodology is competent for 3D modeling and self-adaptive visualization of large geological objects and it is a good way to solve the problem of integration and share of geological spatial data.

Sign in / Sign up

Export Citation Format

Share Document