scholarly journals Take Shuibu Town of Taishan city as an example to study the application of GIS in small towns under the background of “Muti-planning integration”

2021 ◽  
Vol 248 ◽  
pp. 03073
Author(s):  
Yulu Liao
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Small Towns ◽  
Geographic Information ◽  
Technical Support ◽  
Rural Planning ◽  
Land Planning ◽  
Planning Strategy ◽  
Gis Data ◽  
Data Platform

With the proposal of land planning strategy and the development of GIS information technology and big data, geographic information technology and big data are widely used in the field of urban and rural planning, providing new technical support for the implementation of “muti-planning integration”. As the reserve force for development, small towns have great research value. This study selects Shuibu Town of Taishan city to study the construction and management of Urban Land GIS database in order to provide working ideas for the construction of GIS data platform in small towns.

scholarly journals APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 293-300
Author(s):  
H. Li ◽  
W. Huang ◽  
Z. Zha ◽  
J. Yang
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Resource Sharing ◽  
Data Science ◽  
Geographic Information ◽  
Management Decision ◽  
Functional Requirements ◽  
Comprehensive Service ◽  
Data Platform ◽  
The Impact

Abstract. With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, Spatiotemporal big data mining, the impact of geospatial big data on visualization, social perception and smart city, geospatial big data services for government decision-making support four aspects. Based on the connotation and extension of geospatial big data, this paper comprehensively defines geospatial big data comprehensively. The application of geospatial big data in location visualization, industrial thematic geographic information comprehensive service and geographic data science and knowledge service is introduced in detail. Furthermore, the key technologies and design indicators of the National Geospatial Big Data Platform are elaborated from the perspectives of infrastructure, functional requirements and non-functional requirements, and the design and application of the National Geospatial Public Service Big Data Platform are illustrated. The challenges and opportunities of geospatial big data are discussed from the perspectives of open resource sharing, management decision support and data security. Finally, the development trend and direction of geospatial big data are summarized and prospected, so as to build a high-quality geospatial big data platform and play a greater role in social public application services and administrative management decision-making.

scholarly journals Enhanced Big Data Platform for Visualization of Employee Data.

2018 ◽  
Vol 2 (3) ◽  
pp. 169
Author(s):  
Manishankar S ◽  
S. Sathayanarayana
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Storage ◽  
Heterogeneous Data ◽  
Digital World ◽  
File Storage ◽  
Data Platform ◽  
Storage Area ◽  
High Processing ◽  
Employee Data

In this Digital world storage area capacity required for an Enterprise is quite huge, and processing that Big Data is one of the major challenging areas in today’s information technology. As the heterogeneous data from the various sources grow rapidly, there should be some proficient way for data storage for each enterprise. Most of the Enterprises have a tendency to migrate their data in to servers with high processing capability to handle variety and voluminous data. Major problem that arises in such big data servers of an Enterprise is the process involved in segregating data according to their types. In this research, an efficient methodology is proposed which handles the segregation of data inside a server with multi valued distribution-based clustering. These clustering-based solutions provide an efficient visualization of varying data in the server and also a separate visualization of employee data too. The paper discusses about the simulation of the clustering technique with respect to an Enterprise data and visualization of file storage structure and categorization of data, also it gives a picture of performance of the Big data server. 

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

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