Study on Process of Data Processing and Analysis Based on Geographic Information

2018 ◽  
pp. 382-393
Author(s):  
Jae-Young Choi ◽  
Young-Hwa Cho ◽  
Chin-Chol Kim ◽  
Yeong-Il Kwon ◽  
JeongAh Kim ◽  
...  
Keyword(s):  
Data Processing ◽  
Geographic Information

scholarly journals An On-Demand Scalable Model for Geographic Information System (GIS) Data Processing in a Cloud GIS

2019 ◽  
Vol 8 (9) ◽  
pp. 392
Author(s):  
Junqiang Zhang ◽  
Lirui Xu ◽  
Yi Zhang ◽  
Gang Liu ◽  
Lingjun Zhao ◽  
...  
Keyword(s):  
Information System ◽  
Information Processing ◽  
Geographic Information System ◽  
Data Processing ◽  
Business Processes ◽  
Geographic Information ◽  
Processing Method ◽  
On Demand ◽  
Business System ◽  
Gis Data

With the rapid development of information processing technology and continuously evolving technological hardware and software, the scale of spatial data has grown exponentially. This has necessitated that stricter requirements be placed on the way data is processed. The traditional single-machine centralized data processing method is gradually being replaced by the network-based cloud geographic information system (GIS) mode. However, the information processing method of the business system in the existing spatial information network environment is difficult to expand, which limits the application of the business system. This paper proposes an on-demand and extended model for the GIS data processing procedure that considers the three-way separation of algorithm development, business processes, and the operational interface, and can implement an on-demand expansion of business processes by process modeling the business and task scheduling the workflow engine. This can expand the scope of business systems and improve the efficiency of business system construction.

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.

scholarly journals IMPLEMENTASI SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE UNTUK PENENTUAN TEMPAT PEMBUANGAN AKHIR

2019 ◽  
Vol 15 (1) ◽  
pp. 12
Author(s):  
Yudi Eko Windarto ◽  
Ike Pertiwi Windasari ◽  
Moh. Aufal Marom Arrozi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Processing ◽  
Relative Weight ◽  
Difficult Problem ◽  
Geographic Information ◽  
Final Disposal ◽  
Central Java ◽  
Manual Methods ◽  
Ranking Technique

<p><em>Garbage is a difficult problem to solve. Data in the Environmental sector still uses traditional or manual methods in processing. Data processing needs to be done to get accurate data and spreading the information more effectively and efficiently. Traditional or manual methods are irrelevant. It needs a system that makes data processing more effective, efficient and accurate.</em></p><p><em>Simple Multi Attribute Ranking Technique (SMART) is one of various Decision Support System methods that can provide assistance, efficiency and accuracy when processing of data. This method will be implemented in data processing to determine the best Final Disposal Areas (FDA) in the districts and will showing visually using a Geographic Information System (GIS). With the presence of this system, it will provide an overview of the best areas for final disposal areas to be built in the districts. In this case, data processing is carried out in Pemalang District, Central Java Province.</em></p><p><em>The fundamental difference between the SMART Method and the other methods is its simplicity and efficiency in processing multi criteria data. Parameters that greatly affect the ideal or are Land Use and Hydrogeology. This Geographic Information System provides the main menu, criteria weight values, relative weight values, alternative values and criteria, assessment and mapping factor values. </em></p>

Map data processing in geographic information systems

Computer ◽  
1989 ◽  
Vol 22 (12) ◽  
pp. 10-21 ◽  
Author(s):  
R. Kasturi ◽  
R. Fernandez ◽  
M.L. Amlani ◽  
W.-C. Feng
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Data Processing ◽  
Geographic Information ◽  
Map Data

scholarly journals IMPLEMENTASI SIG UNTUK PEMETAAN USAHA MIKRO, KECIL DAN MENENGAH (UMKM) PRODUK KHAS KOTA PALEMBANG

2020 ◽  
Vol 22 (1) ◽  
pp. 83-92
Author(s):  
Eka Puji Agustini
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Processing ◽  
Spatial Data ◽  
Small And Medium Enterprises ◽  
Geographic Information ◽  
Gis Application ◽  
The Public ◽  
Attribute Data ◽  
Medium Enterprises

Geographically the area of Palembang City is 400.61 km2 which is divided into 16 subdistricts and 107 villages and has a sizeable population. The Office of Cooperatives, Small and Medium Enterprises in Trade and Industry of Palembang City as an office directly related UMKM has mapped UMKM in Palembang City but this mapping is still limited to reporting, and is not yet widely accessible to the public. Therefore this study aims to map UMKM geographically and publicly accessible. This mapping will be built using Arcgis technology and Geographic Information System which is an application of earth data processing by looking at spatial data and attribute data. The results of this study are in the form of a GIS application that maps the UMKM of Palembang City.

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