Spatial Big Data Organization, Access and Visualization with Essg
نویسندگان
چکیده
There are hundreds of spatial reference frame (SRF) being applied, and the great difference among SRFs has blocked the share of global data on planet Earth. A conceptual spheroid of radius 12,800km and a spheroid degenerated octree grid method are applied to produce an earth system spatial grid (ESSG), which is of natural characteristics to be applied as a new common SRF. A triple CTA is designed as ESSG-based data structure to organize the big data of planet Earth, and a 2D table of a unique label and limitless records for time slices and attribute values is present to record the data of each grid. The big data on planet Earth can hence be gridded and interrelated without discipline gaps and SRF obstacles. An integral data organization mode is designed, and three potential routes are presented for users to access shareable global data in cloud environment. Furthermore, with global crust, atmosphere, DEM, and satellite image being examples, the integrated visualization of global large objects is demonstrated.
منابع مشابه
Design and Test of the Real-time Text mining dashboard for Twitter
One of today's major research trends in the field of information systems is the discovery of implicit knowledge hidden in dataset that is currently being produced at high speed, large volumes and with a wide variety of formats. Data with such features is called big data. Extracting, processing, and visualizing the huge amount of data, today has become one of the concerns of data science scholar...
متن کاملCorrelation of Big Data with Supply Chain Health Performance in Employees of the Tehran Intelligent Fuel System
Introduction: The dramatic growth of big data and its application in preventing waste of resources and increasing financial performance and supply chain health levels, need to be examined from different perspectives. This study aimed to determine the correlation between big data and supply chain health performance in employees of Tehran Intelligent Fuel System. Methods: In this descriptive cor...
متن کامل(In?)Extricable Links between Data and Visualization: Preliminary Results from the VISTAS Project
1 Introduction Our initial survey of visualization tools for environmental science applications identified sophisticated tools such as The Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers (VAPOR) [http://www.vapor.ucar.edu], and Man computer Interactive Data Access System (McIDAS) and The Integrated Data Viewer (IDV) [http://www.unidata.ucar.edu/software]. A seco...
متن کاملSpatio-Temporal Big Data Analytics for Environmental Health
The framework for our proposed big data analytics platform is shown in Figure 1. Two complimentary systems support the wide variety of spatial analytics algorithms and techniques we are providing. On the left half of Figure 1, the more-traditional unix filesystem supports high-throughput computation (e.g., MPI [Snir et al., 1995], OpenMP [Dagum and Menon, 1998], GPGPU/CUDA Luebke et al. [2006])...
متن کاملCharacterizing Big Data Management
Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013