Visual simulation of spatial information networks based on Google-Earth

2010 ◽  
Author(s):  
Yang Wang ◽  
Xiang Gao ◽  
Junfeng Wang
Keyword(s):  
Spatial Information ◽  
Google Earth ◽  
Information Networks ◽  
Visual Simulation

Study on Three-Dimensional Visual Simulation for Inter-Basin Water Transfer Project

2012 ◽  
Vol 256-259 ◽  
pp. 2523-2527
Author(s):  
Qian Wei Wang ◽  
Rui Rui Sun ◽  
Wei Ping Guo
Keyword(s):  
Three Dimensional ◽  
Google Earth ◽  
Water Transfer ◽  
Digital Model ◽  
Water Diversion ◽  
Visual Simulation ◽  
Channel Water ◽  
North Water ◽  
Basin Water

With regards to the characteristics of inter-basin water transfer projects, a 3d visual simulation (Three-Dimensional Visual Simulation, 3DVS) method for inter-basin water transfer project was proposed. A virtual reproduction of the entire project and its topography is achieved. The supplement of the three-dimensional topographic data was completed by Civil 3D combinedwith Google Earth. In this paper, the 3D digital model of inter-basin water transfer project is established using 3ds Max. Based on the established digital model, the simulation of channel water were realized .The Yuzhou section of South-to-North Water Transfer Project is taken as a case study. 3D visual simulation provides an effective way for the construction management and decision-making for inter-basin water diversion project.

scholarly journals From Virtual Field Trip to Geologically-Reasoned Decisions in Yosemite Valley

2021 ◽  
Author(s):  
Nicolas C. Barth ◽  
Greg M. Stock ◽  
Kinnari Atit
Keyword(s):  
Spatial Information ◽  
Opportunity To Learn ◽  
Field Trip ◽  
Google Earth ◽  
Learning Goals ◽  
Spatial Skills ◽  
Yosemite Valley ◽  
Wide Range ◽  
Virtual Field ◽  
Virtual Field Trip

Abstract. This study highlights a Geology of Yosemite Valley virtual field trip (VFT) and companion exercises produced as a four-part module to substitute for physical field experiences. The VFT is created as an Earth project in Google Earth Web, a versatile format that allows access through a web browser or Google Earth app with the sharing of an internet address. Many dynamic resources can be used for VFT stops through use of the Google Earth Engine (global satellite imagery draped on topography, 360° street-level imagery, user-submitted 360° photospheres). Images, figures, videos, and narration can be embedded into VFT stops. Hyperlinks allow for a wide range of external resources to be incorporated; optional background resources help reduce the knowledge gap between general public and upper-division students, ensuring VFTs can be broadly accessible. Like many in-person field trips, there is a script with learning goals for each stop, but also an opportunity to learn through exploration as the viewer can dynamically change their vantage at each stop (i.e. guided discovery learning). This interactive VFT format scaffolds students’ spatial skills and encourages attention to be focused on a stop’s critical spatial information. The progression from VFT to mapping exercise to geologically-reasoned decision-making results in high quality student work; students find it engaging, enjoyable, and educational.

TITAN to Google Earth: Workflow for Data Processing for Mobile Terrestrial LIDAR

2017 ◽  
Author(s):  
Michael Martin
Keyword(s):  
Data Processing ◽  
Spatial Information ◽  
New Technology ◽  
Google Earth ◽  
Lidar Data ◽  
Terrestrial Lidar ◽  
Urban Modelling ◽  
Feature Based ◽  
Point Data ◽  
Object Models

Terrestrial LIDAR scanners are pushing the boundaries of accurate urban modelling. Automation and the usability of tools used in feature abstraction and, to a lesser degree, presentation have become the chief concerns with this new technology. To broaden the use and impact of LIDAR in the geomatics, LiDAR datasets must be converted to feature-based representations without loss of precision. One approach, taken here, is to simultaneously examine the overall path that data takes through an organization and the operatordriven tasks carried out on the data as it is transformed from a raw point cloud to final product. We present a review of the current practices in LiDAR data processing and a foundation for future efforts to optimize. We examine alternative LIDAR processing workflows with two key questions in mind: computational efficiency - whether the process can be done using the tools at all - and tool complexity - what operator skill level is needed at each step. Using these workflows the usability of the specific software tools and the required knowledge to effectively carry out the procedures using the tools are examined. Preliminary results have yielded workflows that successfully translate LIDAR to 3D object models, highly decimated point representations of street data represented in Google Earth, and large volume point data flythroughs in ESRI ArcScene. We are documenting the pragmatic limits on each of these workflows and tools for endusers. Terrestrial LIDAR brings with it new innovations for spatial visualizations, but also questions of viability. The technology has proved valuable for specialized applications for experts, but can it be useful as a tool for proliferating 3d spatial information by and to non-experts. This study illustrates the issues associated with preparing 3d LIDAR data for presentation in mainstream visualization environments.

scholarly journals An Efficient Satellite Resource Cooperative Scheduling Method on Spatial Information Networks

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3293
Author(s):  
Huilong Fan ◽  
Zhan Yang ◽  
Shimin Wu ◽  
Xi Zhang ◽  
Jun Long ◽  
...  
Keyword(s):  
Graph Theory ◽  
Spatial Information ◽  
Resource Scheduling ◽  
Maximum Flow ◽  
Resource Planning ◽  
Information Networks ◽  
Planning Problem ◽  
Scheduling Problems ◽  
Time Consumption ◽  
Resource Request

To overcome the low timeliness of resource scheduling problems in spatial information networks, we propose a method based on a dynamic reconstruction of resource request queues and the autonomous coordinated scheduling of resources. First, we construct a small satellite network and combine the graph maximum flow theory to solve the link resource planning problem during inter-satellite data transmission. In addition, we design a multi-satellite resource scheduling algorithm with minimal time consumption based on graph theory. The algorithm is based on graph theory to reallocate the resource request queue to satellites with idle processing resources. Finally, we simulate the efficient resource scheduling capability in the spatial information network and empirically compare our approaches against two representative swarm intelligence baseline approaches and show that our approach has significant advantages in terms of performance and time consumption during resource scheduling.

scholarly journals Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki

2015 ◽  
Vol 98 ◽  
pp. 324-335 ◽  
Author(s):  
Linda See ◽  
Steffen Fritz ◽  
Christoph Perger ◽  
Christian Schill ◽  
Ian McCallum ◽  
...  
Keyword(s):  
Spatial Information ◽  
Google Earth ◽  
The Internet

scholarly journals Four-Dimensional Map Reconstruction for Urban Progress Analysis

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Zahraa E. Hussein ◽  
Marwa M. Bori ◽  
Layla K. Abbas
Keyword(s):  
Spatial Information ◽  
Low Cost ◽  
Three Dimensional ◽  
Water Area ◽  
Google Earth ◽  
Geographical Information ◽  
Data Set ◽  
Important Indicator ◽  
3 Dimensional ◽  
The University

The article describes a simple and low cost methodology of four-dimensional map creation, based on the main elements of the urban world like such as green ground, buildings, soil, water area and others, which makes it possible to detect the urban progress during a certain period using an open source data of Google Earth and geographical information system. This implies that a study of changes in urban elementrequire an integration of spatial information and corresponding real time, which is referred to as the four-dimensional map. Accordingly, the fourth dimensional (time) was added to the three dimensional spatial information (3 dimensional) study area signifies by the University of Baghdad, Aljadrya Campus. Regarding the article, the study area’s urban progress was considered for Google Earth’s available period of the data set that started from 2002 to 2019 at each of 2002, 2005, 2010 in addition to 2019 before being updated from the field observation. The main goal of this article is to provide an important indicator that can be used to determine the nature of current growth and forecast it in the future. Furthermore, it can be used for solving the problems of negative urban progress, which is what most developing countries are experiencing. Findings show significant changes in the main objects of the study area are represented by increasing each of buildings, green grounds, play grounds by about 40.9%, 65.4% and 30.2% respectively, which are offset by decrease insoil grounds of nearly 20.8%.

3D Visual Simulation on Nanchang Hangkong University

2013 ◽  
Vol 756-759 ◽  
pp. 1040-1044
Author(s):  
Xiao Ning Cheng ◽  
Ka Sun ◽  
Xiao Feng Zhang
Keyword(s):  
Spatial Information ◽  
Three Dimensional ◽  
School Enrollment ◽  
Simulation Software ◽  
Visual Simulation ◽  
University Campus ◽  
Alumni Relations ◽  
Three Dimensional Modeling ◽  
Dimensional Modeling ◽  
Employment Education

This paper combined with computer graphics and related spatial information sciences technologies, made use of the software Vega Prime, On the basis of three-dimensional modeling of Nanchang HangKong University campus, built a campus three-dimensional visual simulation software, which can achieve the campus landscape, zoom, rotation, scaling, flight roaming and static and dynamic simulation capabilities, such as the fountain, lake, pedestrians, vehicles, etc. The use of this technology has great importance on school enrollment, employment, education, alumni relations, showing the school strength and other aspects.

Improving Spatial Decision Making in Cloud Computing

2014 ◽  
pp. 78-91
Author(s):  
Michele Argiolas ◽  
Maurizio Atzori ◽  
Nicoletta Dessì ◽  
Barbara Pes
Keyword(s):  
Indirect Effects ◽  
Spatial Information ◽  
Qualitative Change ◽  
Google Earth ◽  
Cloud Environment ◽  
Distributed Resources ◽  
Web Based ◽  
Computational Environment ◽  
Spatial Decision Making ◽  
Integrate Data

The increasing capabilities of Internet have caused a qualitative change in the management of spatial information while recent advances in Web 2.0 technologies have enabled the integration of data and knowledge in intuitive thematic maps. This has wide-ranging indirect effects in supporting the ways stakeholders make a decision based on information coming from various distributed resources, but the real question is, What applications and technologies are in place to deal with these decisional environments? Aiming at giving an answer to this question, this chapter explores the feasibility of a computational environment that supports the Web-based exploration and the spatial analysis in real estate decisional processes. It relies on the concept of dataspace as a new scenario for accessing, integrating, and analyzing geo-spatial information regardless of its format and location. Built on top of a cloud environment, it is made up of specialized modules, each of which provides a well-defined service. Mash-ups integrate data from different resources on the Internet and provide the user with a flexible and easy-to-use way for geo-referencing data in the maps provided by Google Maps and Google Earth. Through an interactive process, the user arrives at some interesting maps, glimpses the most important facets of the decisional problem, and combines them to fashion a solution. Applicative experiments demonstrate the effectiveness of the computational environment proposed.

scholarly journals Multi-Topology Routing Algorithms in SDN-Based Space Information Networks

2019 ◽  
Vol 11 (1) ◽  
pp. 15 ◽  
Author(s):  
Xiangli Meng ◽  
Lingda Wu ◽  
Shaobo Yu
Keyword(s):  
Spatial Information ◽  
Dynamic Change ◽  
Routing Algorithm ◽  
Complex Structure ◽  
Information Networks ◽  
Routing Strategy ◽  
Spatial Tasks ◽  
Task Oriented ◽  
Space Information Networks

Aiming at the complex structure of the space information networks (SIN) and the dynamic change of network topology, in order to design an efficient routing strategy, this paper establishes a SIN management architecture based on Software-defined Networking (SDN). A routing algorithm flow of the spatial information network based on a snapshot sequence is designed. For different spatial tasks with different Quality of Service (QoS) requirements, the concept of integrated link weight is proposed. The Warshall–Floyd algorithm is used to design the optimal routing strategy. A Task-oriented Bandwidth Resource Allocation (TBA) algorithm is proposed for multiple spatial tasks in the same link. Simulation results show that the algorithm can effectively guarantee the priority transmission of important tasks and avoid the unnecessary waste of bandwidth resources.

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