scholarly journals 3D Visualization Process and Efficiency Analysis of Geographic Information Based on WebGL

2019 ◽  
Vol 2 ◽  
pp. 1-5
Author(s):  
Deguo Su ◽  
Beibei Tan ◽  
Debao Yuan ◽  
Yong Wang ◽  
Jiping Liu
Keyword(s):  
Spatial Data ◽  
Visual Analysis ◽  
3D Visualization ◽  
Design Method ◽  
Rapid Development ◽  
Geographic Information ◽  
Geospatial Information ◽  
Visualization Process ◽  
Visualization Technology ◽  
Geographic Process

<p><strong>Abstract.</strong> With the rapid development of geographic information technology, the web-based 3D visualization technology is constantly updated with the development of computers. However, the traditional 3D geographic data visualization software based on the rich-client model it has significant limitations in the display and analysis of geospatial information and it is difficult to install and use, result in that difficult to meet the application of Geo-dynamic simulation, visual analysis, and collaborative decision-making of the geographic process. In order to show the realism of spatial data more directly, this paper introduces a 3D visualization process design method of geographic information and analyses the 3D data modelling building and visualization efficiency. The process combines multiple data sources are loaded automatically, cross platform, 2D &amp;amp; 3D integration, and make a wider range of customers easily access to the visualization effect of 3D spatial data.</p>

Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)

2019 ◽  
pp. 306-348
Author(s):  
Willington Siabato ◽  
Javier Moya-Honduvilla ◽  
Miguel Ángel Bernabé-Poveda
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Information Technologies ◽  
Geographic Information ◽  
Information Services ◽  
Air Traffic ◽  
Geospatial Information ◽  
Geographic Information Technologies ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

scholarly journals Analysis of Visualization Technology of 3D Spatial Geographic Information System

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jiudong Yang ◽  
Fenghua Wu ◽  
Erlong Lai ◽  
Mingyue Liu ◽  
Bo Liu ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Processing ◽  
Optimization Algorithm ◽  
Spatial Data ◽  
Three Dimensional ◽  
Geographic Information ◽  
3D Gis ◽  
Visualization Technology ◽  
Spatial Data Processing

Traditional urban planning is generally expressed in a two-dimensional geographic information system, but its performance is limited to the plane direction. It cannot give people more natural feelings and visionary experiences. The rapid development of three-dimensional geographic information systems brings people geographic information. The three-dimensional intuitive experience, but the traditional three-dimensional geographic information system has the disadvantages that the spatial properties are incompatible, the image rendering speed is slow, and the visualization effect is poor. In this paper, the traditional domain-oriented processing method is improved in spatial data processing and modeling. An optimized object-oriented optimization algorithm is proposed. The three-dimensional geographic information is optimized based on a dynamic multiresolution model and multilevel detail processing technology. The rendering of the system enhances the visualization. Based on the optimization algorithm of data processing and visualization technology proposed in this paper, the spatial data processing platform GISdata of 3D GIS is designed in this paper. At the same time, the 3D GIS is visualized based on OpenGL visualization software. It is shown that the optimization algorithm proposed in this paper has excellent preexperimental effects.

Research on Technology of Semantic Fusion in Geospatial Information Based on Ontology

2011 ◽  
Vol 403-408 ◽  
pp. 3039-3043
Author(s):  
Ke Li ◽  
Han Lin Zhang ◽  
Lin Du
Keyword(s):  
Data Integration ◽  
Spatial Data ◽  
Information Service ◽  
Geographic Information ◽  
Information Services ◽  
It Use ◽  
Geospatial Information ◽  
Semantic Level ◽  
Service Ontology ◽  
Spatial Data Integration

Because of lacking detailed metadata information in the traditional geospatial data, it would lead to being short of part semantic information. Facing the demand of interoperability in growing application of geographic information service, Ontology technology is regarded as one of Effective approach to solve the question of data heterogeneous and interoperability. So in this paper, it would use some new theory and methods of ontology into geographic Information Services, which would solve the difficulties of the geographical spatial data integration. Facing the demand of interoperability in growing application of geographic information service, Ontology techology is widely noticed in the past few years, and is regarded as one of Effective approach to solve the question of data heterogeneous and interoperability. Using the mapping of concepts and attributes, ontology expresses practical geographic space in Semantic level, analyzing the structure and content of geographical spatial database and setting up corresponding domain ontology. At last , it use some logical operations to solve the question of data heterogeneous and interoperability. So in this paper, it would use some new theory and methods of ontology into geographic Information Services, which would solve the difficulties of the geographical spatial data integration.

scholarly journals INTEGRATION OF REMOTELY SENSED DATA INTO GEOSPATIAL REFERENCE INFORMATION DATABASES. UN-GGIM NATIONAL APPROACH

2016 ◽  
Vol XLI-B4 ◽  
pp. 721-725
Author(s):  
A. Arozarena ◽  
G. Villa ◽  
N. Valcárcel ◽  
B. Pérez
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Remotely Sensed ◽  
Geographic Information ◽  
Earth Observation ◽  
Institutional Arrangements ◽  
Observation System ◽  
Remotely Sensed Data ◽  
Geospatial Information ◽  
Reference Information

Remote sensing satellites, together with aerial and terrestrial platforms (mobile and fixed), produce nowadays huge amounts of data coming from a wide variety of sensors. These datasets serve as main data sources for the extraction of Geospatial Reference Information (GRI), constituting the “skeleton” of any Spatial Data Infrastructure (SDI). <br><br> Since very different situations can be found around the world in terms of geographic information production and management, the generation of global GRI datasets seems extremely challenging. Remotely sensed data, due to its wide availability nowadays, is able to provide fundamental sources for any production or management system present in different countries. After several automatic and semiautomatic processes including ancillary data, the extracted geospatial information is ready to become part of the GRI databases. <br><br> In order to optimize these data flows for the production of high quality geospatial information and to promote its use to address global challenges several initiatives at national, continental and global levels have been put in place, such as European INSPIRE initiative and Copernicus Programme, and global initiatives such as the Group on Earth Observation/Global Earth Observation System of Systems (GEO/GEOSS) and United Nations Global Geospatial Information Management (UN-GGIM). These workflows are established mainly by public organizations, with the adequate institutional arrangements at national, regional or global levels. Other initiatives, such as Volunteered Geographic Information (VGI), on the other hand may contribute to maintain the GRI databases updated. <br><br> Remotely sensed data hence becomes one of the main pillars underpinning the establishment of a global SDI, as those datasets will be used by public agencies or institutions as well as by volunteers to extract the required spatial information that in turn will feed the GRI databases. <br><br> This paper intends to provide an example of how institutional arrangements and cooperative production systems can be set up at any territorial level in order to exploit remotely sensed data in the most intensive manner, taking advantage of all its potential.

Semantic Enrichment for Geospatial Information in a Tourism Recommender System

2013 ◽  
pp. 2208-2229
Author(s):  
Joan de la Flor ◽  
Joan Borràs ◽  
David Isern ◽  
Aida Valls ◽  
Antonio Moreno ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Recommender System ◽  
Hybrid Method ◽  
Spatial Data ◽  
Recommendation System ◽  
Geographic Information ◽  
Computational Time ◽  
Limited Information ◽  
Geospatial Information ◽  
Visitor Satisfaction

Geospatial information is commonly used in tourism to facilitate activity planning, especially in a context of limited information on the territory, as it is common in the case of complex and heterogeneous tourism destination regions where the constrained spatial activity of visitor is likely to generate inefficiencies in the use of assets and resources, and hinder visitor satisfaction. Because of the large amount of spatial and non-spatial data associated with different resources and activities, it is a logical choice to use geographic information systems (GIS) for storing, managing, analyzing, and visualizing the data. Nevertheless, in order to facilitate personalized recommendations to visitors, interaction with Artificial Intelligence is needed. This chapter presents SigTur/E-Destination, a tourism recommender system based on a semantically-enriched GIS that provides regional tourist organizations and the industry with a new powerful tool for the sustainable management of their destinations. The recommendation system uses innovative Artificial Intelligence techniques, such as a hybrid method that integrates content-based and collaborative filtering and clustering methodologies that improve computational time.

scholarly journals BiGeo: A Foundational PaaS Framework for Efficient Storage, Visualization, Management, Analysis, Service, and Migration of Geospatial Big Data—A Case Study of Sichuan Province, China

2019 ◽  
Vol 8 (10) ◽  
pp. 449
Author(s):  
Xi Liu ◽  
Lina Hao ◽  
Wunian Yang
Keyword(s):  
Big Data ◽  
Spatial Data ◽  
Information Technologies ◽  
Earth Science ◽  
Rapid Development ◽  
Geographic Information ◽  
Sichuan Province ◽  
Geographic Information Technologies ◽  
Information Research ◽  
Big Data Technologies

With the rapid development of big data, numerous industries have turned their focus from information research and construction to big data technologies. Earth science and geographic information systems industries are highly information-intensive, and thus there is an urgent need to study and integrate big data technologies to improve their level of information. However, there is a large gap between existing big data and traditional geographic information technologies. Owing to certain characteristics, it is difficult to quickly and easily apply big data to geographic information technologies. Through the research, development, and application practices achieved in recent years, we have gradually developed a common geospatial big data solution. Based on the formation of a set of geospatial big data frameworks, a complete geospatial big data platform system called BiGeo was developed. Through the management and analysis of massive amounts of spatial data from Sichuan Province, China, the basic framework of this platform can be better utilized to meet our needs. This paper summarizes the design, implementation, and experimental experience of BiGeo, which provides a new type of solution to the research and construction of geospatial big data.

Research on 3D Dredged Soil Visualization Analysis of Qinhuangdao Harbor Project

2012 ◽  
Vol 594-597 ◽  
pp. 2893-2896
Author(s):  
Zheng Jian Miao ◽  
Deng Hua Zhong ◽  
Ming Chao Li ◽  
Wei Gao
Keyword(s):  
Data Storage ◽  
Visual Analysis ◽  
3D Visualization ◽  
Soil Analysis ◽  
Three Dimensional ◽  
Space Distribution ◽  
Support Tool ◽  
Dredged Soil ◽  
Practical Engineering ◽  
Visualization Technology

In order to rapidly, accurately and vividly provide plenty of underwater soil analysis information for design and construction in dredging engineering, this paper took Qinhuangdao harbor project as an example, introducing a three-dimensional underwater soil modeling method and establishing the 3D unified soil solid model of Qinhuangdao harbor. The model has a small amount of data storage, high precision and is easy to operate graphical computing. Based on the model, and with 3D visualization technology, a series of soil visual analysis were conducted, including virtual digital drilling, arbitrary cutting analysis and water depth elevation analysis. Moreover, the model could quickly output scene graph, 2D cross-section and isoline map. Practical engineering applications indicate that 3D dredged soil visualization helps engineers to understand the space distribution of underwater soil. The proposed method can provide a convenient support tool for dredging engineering soil analysis.

scholarly journals MATCHING ALTERNATIVE ADDRESSES: A SEMANTIC WEB APPROACH

2015 ◽  
Vol XL-1-W5 ◽  
pp. 63-66
Author(s):  
S. Ariannamazi ◽  
F. Karimipour ◽  
F. Hakimpour
Keyword(s):  
Semantic Web ◽  
Information Integration ◽  
Spatial Data ◽  
Rapid Development ◽  
Crowd Sourcing ◽  
Knowledge Modeling ◽  
Data Types ◽  
Geospatial Information ◽  
Multiple Data ◽  
Web Standards

Rapid development of crowd-sourcing or volunteered geographic information (VGI) provides opportunities for authoritatives that deal with geospatial information. Heterogeneity of multiple data sources and inconsistency of data types is a key characteristics of VGI datasets. The expansion of cities resulted in the growing number of POIs in the OpenStreetMap, a well-known VGI source, which causes the datasets to outdate in short periods of time. These changes made to spatial and aspatial attributes of features such as names and addresses might cause confusion or ambiguity in the processes that require feature’s literal information like addressing and geocoding. VGI sources neither will conform specific vocabularies nor will remain in a specific schema for a long period of time. As a result, the integration of VGI sources is crucial and inevitable in order to avoid duplication and the waste of resources. Information integration can be used to match features and qualify different annotation alternatives for disambiguation. This study enhances the search capabilities of geospatial tools with applications able to understand user terminology to pursuit an efficient way for finding desired results. Semantic web is a capable tool for developing technologies that deal with lexical and numerical calculations and estimations. There are a vast amount of literal-spatial data representing the capability of linguistic information in knowledge modeling, but these resources need to be harmonized based on Semantic Web standards. The process of making addresses homogenous generates a helpful tool based on spatial data integration and lexical annotation matching and disambiguating.

scholarly journals APPLICATION RESEARCH OF LOD TECHNOLOGY AND THE SHORTEST PATH ALGORITHM IN TRAFIC GEOGRAPHIC INFORMATION SYSTEM

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1369-1374
Author(s):  
X. Zhang ◽  
X. Zhang ◽  
H. Zhang
Keyword(s):  
Information System ◽  
Shortest Path ◽  
3D Visualization ◽  
Three Dimensional ◽  
Geographic Information ◽  
Vehicle Navigation ◽  
3D Gis ◽  
Shortest Path Algorithm ◽  
Visualization Technology ◽  
3D Information

<p><strong>Abstract.</strong> 3D visualization theory and technology has become a new research topic in the field of GIS and digital mapping. Based on a brief analysis of the development status of 3D GIS at home and abroad, this paper introduces the key technologies such as LOD technology and shortest path algorithm commonly used in traffic 3D GIS. The three-dimensional visualization technology in the application of traffic in the field of three-dimensional road network generation, vehicle navigation, simulation driving, etc., the analysis and summary of the vehicle collision model based on driving vehicles to detect road conditions and issue vehicle driving operation instructions, to some extent The simulated driving of the vehicle is realized. Based on the actual 3D geographic information platform, the fusion processing and 3D display of different precision terrain data are realized, and the function modules such as vehicle navigation and simulation driving are developed. The initial practice of LOD technology and shortest path algorithm in traffic 3D information system application was carried out.</p>

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