Cloud enabled SDI architecture: a review

Tripathi, Ashutosh Kumar; Agrawal, Sonam; Gupta, R.

doi:10.1007/s12145-020-00446-9

Cited by 28 publications

(16 citation statements)

References 103 publications

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“…Site selection aided with GIS technology could play a significant role in the creation of a problem-solving environment for spatially referenced data (Maguire, 1991). Although, GIS and MCDA are two different area of research but their integration could benefit the site selection problem in analyzing the spatial decision and evaluating the ranking of different criteria (Feizizadeh et al, 2014;Tripathi et al, 2020b). Site selection studies like railway station (Mateus et al, 2008;Prasertsri & Sangpradid, 2020), fire station (Chaudhary et al, 2016;Nyimbili & Erden, 2020), solar photovoltaic plant (Garni & Awasthi, 2017;Shorabeh et al, 2019), landfill (Aksoy & San, 2019;Rahmat et al, 2017) and wastewater disposal (Aydi et al, 2016) proves that MCDA could be the best possible model to solve the location based problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India

2021

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Identification of hospital sites and their ranking is important for the planning and development of any country's health infrastructure. The site selection problem is a typical multi-criteria decision making problem involving multiple stakeholders and their interests. Multi-Criteria Decision Analysis (MCDA) is a promising approach to solve a location-based problem due to the constitution of various criteria involved in decision making. In this research, eleven criterion are chosen which are classified under three main criteria; socio-economic, geographical and environmental. This research aims to identify the appropriate MCDA method for the selection of a new hospital sites. Here, two MCDA methods named Analytical Hierarchy Process (AHP) and Fuzzy AHP (FAHP) are used. Further, Geographical Information System (GIS) based MCDA methodology is proposed in this paper. The results obtained with both AHP and FAHP methods are compared. This comparison is based on criterion rankings, proposed hospital locations and sensitivity analysis. The main difference in results is shown in the result of sensitivity analysis in which constant variation in site ranking is obtained when weight change analysis is performed using AHP. The FAHP result shows only one variation in site ranking after a change in weight from ?10 to ?20%. The result suggests that FAHP may be a better approach to the hospital site selection problem.

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Section: Literature Reviewmentioning

confidence: 99%

Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India

2021

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“…Applicability of the GIS tools was also proven in the implementation of sustainable development principles for rural environments [37]. When it comes to spatial data, the development trend needs to be directed towards the infrastructure of spatial data activated in the cloud (SDI), due to the numerous advantages that they imply, including the possibility of integrating with the IoT [38].…”

Section: Geographic Information Systems (Gis)mentioning

confidence: 99%

The Role of UAS–GIS in Digital Era Governance. A Systematic Literature Review

et al. 2021

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UAS (Unmanned Aircraft Systems) technologies, also known as UAV (Unmanned Aerial Vehicle), drones, or Remotely Piloted Aircraft System (RPAS) and GIS (Geographic Information System) are recognised for the value of the results that can be achieved by their combined use. However, their use and the results achieved are rarely framed within the context of Digital Era Governance (DEG), an undertaking that would significantly reduce the capabilities of knowledge transfer from the academic and/or private environment to the public domain. The purpose of this study was to highlight, by a bibliometric analysis, the areas of proposed use of this team of tools and the extent to which these can enter the sphere of interest of public administrations, especially local ones. From a methodological point of view, based on the 439 articles filtered from the Web of Science database where UAS/UAV and GIS technologies were used, several bibliometric analyses have emerged. VOSviewer and R (Bibliometrix tool) were used to conduct the bibliometric analyses. Most scientific publications that used UAV technology as a working tool have predominant applicability in photogrammetry, while GIS applications are found in publications dedicated to image processing, landslides, and cultural and archaeological heritage. We point out that from the point of view of international cooperation, at the level of institutions or countries, certain international organisations from the USA, China, and the central and northern European states have a high interest in this topic, and a low cooperation between academia and public administration is exhibited. The conclusion is represented by the apparent lack of framing of the results of UAS–GIS technologies usage into wider and more topical contexts, such as digital era governance, and also a reduced applicability of the research results.

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“…Geospatial technologies as innovative approaches could help them manage the risk-decision making of extreme events or smart organizations by integrating with social network analysis [23], big data and prescriptive analytics [24,25], IoT-cloud enabled SDI architecture [26] and open-source GIS [27]. The technologies will help geospatial community and SDI developers in various perspectives, including data sharing and management, interoperability, security and reliability, fault tolerance, mass market solution, upfront cost and global collaboration [26].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Since this proposed system is still in a prototype level, several recommendations have been made for a practical application. Firstly, more spatial analysis and system modules can be developed in the system such as social network analysis [23], big data and prescriptive analytics [24,25], IoT-cloud enabled SDI architecture [26] and open source GIS [27] for significant predictive disease modelling, and lastly including the latest datasets and sharing limited information for the public health awareness.…”

Section: 4testing the Performance Of Local Geo-disease Information Systemmentioning

confidence: 99%

Geospatial infrastructure solutions for local government sectors: geo-enabling infectious disease monitoring system in state health departments

Abdul¹,

Ahmad²,

Nurhafiza³

et al. 2021

IJATEE

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Tuberculosis (TB) disease is one of the most common diseases among Selangor citizens, Malaysia, due to the high population density, particularly in urban areas and low socioeconomic strata. TB's death rate was nine times higher in Selangor last year, according to the statistics from the Selangor Health Department [1]. There were 3423 cases of TB recorded in 2012 and 5,071 cases of new TB cases recorded in Selangor in

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Cloud enabled SDI architecture: a review

Cited by 28 publications

References 103 publications

Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India

Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India

The Role of UAS–GIS in Digital Era Governance. A Systematic Literature Review

Geospatial infrastructure solutions for local government sectors: geo-enabling infectious disease monitoring system in state health departments

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