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 ◽  
...  

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.

2021 ◽  
Vol 6 (24) ◽  
pp. 278-289
Author(s):  
Wan Nor Fa’aizah Wan Abdul Basir ◽  
Uznir Ujang ◽  
Zulkepli Majid

Building Information Modeling (BIM) is a technology that focusing on the building element properties to the construction components which cover the interior and exterior building, while Geographic Information System (GIS) describe to the technology that can provide the large-scale information which cover inside and outside buildings (spaces and areas). In construction project application, BIM technology already been used as a worldwide tool while GIS rarely been applied. Each technology contains their own advantages that can be utilized in the construction project application. To bring the best effective approach in construction project, the integration between BIM and GIS technology can be considered. This paper presented an attempt in integrating BIM and GIS by using FME as a data integration platform to solve the limitation of BIM in construction project by using advantages of GIS. Through this research, an investigation of the data exchange during integration process between BIM and GIS will be look up. By using this approach, it is possible to store the BIM and GIS data in one environment. The end results for this paper will cover the method of the data exchange between BIM to GIS and GIS to BIM. Besides that, this paper highlight how GIS can solve the limitation in BIM in construction project.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jiudong Yang ◽  
Fenghua Wu ◽  
Erlong Lai ◽  
Mingyue Liu ◽  
Bo Liu ◽  
...  

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.


2019 ◽  
Vol 15 (1) ◽  
pp. 12
Author(s):  
Yudi Eko Windarto ◽  
Ike Pertiwi Windasari ◽  
Moh. Aufal Marom Arrozi

<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>


2001 ◽  
Vol 2001 (2) ◽  
pp. 1125-1127
Author(s):  
Ray Worley ◽  
Mark Keller

ABSTRACT The Oil Program Center at the U.S. Environmental Protection Agency (EPA) Headquarters is developing geographic information system (GIS) standards to aid EPA's 10 regions in developing and implementing GIS. GIS can support spill response, contingency planning, risk analysis, training and exercises, inspections and enforcement actions, reporting, incident analysis, cost recovery, and outreach. By developing and promoting standards, the Oil Program Center hopes to ensure that GIS development is targeted at the broadest practical user base and considers all aspects of EPA's oil program. In addition, GIS standards will promote consistency between EPA regions, promote data sharing, reduce duplication of effort, and focus attention on using GIS as an analytical tool rather than just as a mapping tool. The standards also may promote greater consistency between the Oil Program Center and other offices within EPA; for example, standards promote watershed-based analysis, which is consistent with other offices' use of watersheds as units of analysis. The standards address the following issues: Minimum essential data elements Data verification and accuracy standards Standard symbols and icons System design and data structure Because the specific needs of regions differ, the GIS tools that they develop will reflect these differences. GIS data standards, however, will promote compatibility across the regions to facilitate collaboration and expand prevention, preparedness, response, and outreach capabilities.


2013 ◽  
Vol 734-737 ◽  
pp. 3034-3037
Author(s):  
Fan Hua Min ◽  
Chang Song Gai ◽  
Bai Cheng Xia

Diagrams that Chongqing decision-making-oriented meteorological service products need are modeled using the geographical task processing toolbox provided by the geographic information system of ArcGIS 9.3 Desktop and the components offered by the meteorological service business system of MESIS from China Meteorological Administration. Automatic generation of service products is achieved by incorporating models into the background client.


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