Quick Data Access on Multiple Channels in Non-flat Wireless Spatial Data Broadcasting

2012 ◽  
Vol E95.B (9) ◽  
pp. 3042-3046 ◽  
Author(s):  
SeokJin IM ◽  
JinTak CHOI
Keyword(s):  
Spatial Data ◽  
Data Access ◽  
Multiple Channels ◽  
Data Broadcasting

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 Integrating cellular automata and discrete global grid systems: a case study into wildfire modelling

2020 ◽  
Vol 1 ◽  
pp. 1-23
Author(s):  
Majid Hojati ◽  
Colin Robertson
Keyword(s):  
Big Data ◽  
Spatial Analysis ◽  
Cellular Automata ◽  
Spatial Data ◽  
Data Model ◽  
Data Access ◽  
Environmental Modeling ◽  
Modeling Framework ◽  
Global Grid

Abstract. With new forms of digital spatial data driving new applications for monitoring and understanding environmental change, there are growing demands on traditional GIS tools for spatial data storage, management and processing. Discrete Global Grid System (DGGS) are methods to tessellate globe into multiresolution grids, which represent a global spatial fabric capable of storing heterogeneous spatial data, and improved performance in data access, retrieval, and analysis. While DGGS-based GIS may hold potential for next-generation big data GIS platforms, few of studies have tried to implement them as a framework for operational spatial analysis. Cellular Automata (CA) is a classic dynamic modeling framework which has been used with traditional raster data model for various environmental modeling such as wildfire modeling, urban expansion modeling and so on. The main objectives of this paper are to (i) investigate the possibility of using DGGS for running dynamic spatial analysis, (ii) evaluate CA as a generic data model for dynamic phenomena modeling within a DGGS data model and (iii) evaluate an in-database approach for CA modelling. To do so, a case study into wildfire spread modelling is developed. Results demonstrate that using a DGGS data model not only provides the ability to integrate different data sources, but also provides a framework to do spatial analysis without using geometry-based analysis. This results in a simplified architecture and common spatial fabric to support development of a wide array of spatial algorithms. While considerable work remains to be done, CA modelling within a DGGS-based GIS is a robust and flexible modelling framework for big-data GIS analysis in an environmental monitoring context.

Towards a Rwandan NSDI

2013 ◽  
pp. 2040-2050
Author(s):  
Felicia O. Akinyemi
Keyword(s):  
Spatial Data ◽  
Information Technologies ◽  
Data Use ◽  
Data Access ◽  
Data Infrastructure ◽  
Geographic Information Technologies ◽  
Key Players ◽  
Data Policy ◽  
Governmental Institutions ◽  
Multi Stakeholder

Awareness of the importance of spatial data in achieving development strategies is high in Rwanda. Government and non-governmental institutions are aspiring to use Geographic Information Technologies (GITs) in their day-to-day activities. The non-existence of a National Spatial Data Infrastructure (NSDI) in Rwanda brings to light serious issues for consideration. Still lacking is a spatial data policy relating to spatial data use. A mechanism to ease spatial data access and sharing is imperative. This paper describes SDI related efforts in Rwanda in a bid to establish the NSDI. Employing a multi-stakeholder approach to drive the process is advocated. To support this, SDI models in some countries are presented that could be applicable to the Rwandan context. Key players with potential roles in the NSDI were identified.

DAPR-tree: a distributed spatial data indexing scheme with data access patterns to support Digital Earth initiatives

2020 ◽  
Vol 13 (12) ◽  
pp. 1656-1671 ◽  
Author(s):  
Jizhe Xia ◽  
Sicheng Huang ◽  
Shaobiao Zhang ◽  
Xiaoming Li ◽  
Jianrong Lyu ◽  
...  
Keyword(s):  
Spatial Data ◽  
Data Access ◽  
Indexing Scheme ◽  
Data Indexing ◽  
Digital Earth ◽  
Data Access Patterns ◽  
Access Patterns

On the efficient use of multiple channels by single-receiver clients in wireless data broadcasting

2012 ◽  
Vol 27 (3) ◽  
pp. 513-520 ◽  
Author(s):  
P. Nicopolitidis ◽  
C. Chrysostomou ◽  
G.I. Papadimitriou ◽  
A. Pitsillides ◽  
A.S. Pomportsis
Keyword(s):  
Multiple Channels ◽  
Data Broadcasting ◽  
Wireless Data ◽  
Wireless Data Broadcasting ◽  
Single Receiver

Spatial data access control in grid environment

2009 ◽  
Author(s):  
Menglong Yan ◽  
Yong Gao ◽  
Lun Wu ◽  
Pengfei Wu ◽  
Yong Zhao ◽  
...  
Keyword(s):  
Access Control ◽  
Spatial Data ◽  
Data Access ◽  
Grid Environment ◽  
Data Access Control
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