IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

Öztürk, Derya; Batuk, Fatmagül

doi:10.1142/s0219622011004695

Cited by 63 publications

(35 citation statements)

References 22 publications

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“…In the AHP, the factor (criterion) weights are determined using pairwise comparison. The AHP also allows decision alternatives to be prioritized using pairwise comparison [70]. However, it is difficult to perform pairwise comparison for raster data because of large number of alternatives [70,71].…”

Section: Artificial Surfaces-suitability Layermentioning

confidence: 99%

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Urban Growth Simulation of Atakum (Samsun, Turkey) Using Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models

Öztürk

2015

Remote Sensing

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147

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Abstract:In this study, urban growth of the Atakum District in Samsun, Turkey, was simulated by Cellular Automata-Markov Chain (CA-MC) and Multi-layer Perceptron-Markov Chain (MLP-MC) hybrid models in a geographical information system (GIS) environment. Historical land use/land cover (LU/LC) data were extracted from 1989, 2000 and 2013 Landsat TM/ETM+/OLI images. Using the LU/LC data for the years 1989 and 2000, the urban growth for 2013 was simulated using the CA-MC and MLP-MC models. The simulation results were compared with the 2013 LU/LC data to assess the validity of the simulation. The MLP-MC method provided the best results according to the validation based on the kappa index of agreement. Based on this result, the urban growth for the year 2025 was simulated using MLP-MC. The simulation estimated an urban growth rate of 35.2% between 2013 and 2025, an increase in the area of artificial surfaces from 1681.9 ha to 2274.3 ha and the destruction of 511.7 ha of agricultural land and 4.4 ha of forest. The results of this study demonstrate that the urban growth models provide a better understanding of the current patterns and temporal dynamics and can predict future changes according to past and current dynamics. The results also show that simulations are most accurate when using a model that best conforms to the changes in the given study area.

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Section: Artificial Surfaces-suitability Layermentioning

confidence: 99%

“…The AHP also allows decision alternatives to be prioritized using pairwise comparison [70]. However, it is difficult to perform pairwise comparison for raster data because of large number of alternatives [70,71]. In this study, pairwise comparison was used to determine the weights of the factors.…”

Section: Artificial Surfaces-suitability Layermentioning

confidence: 99%

Urban Growth Simulation of Atakum (Samsun, Turkey) Using Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models

Öztürk

2015

Remote Sensing

Self Cite

147

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“…It employs a pair-wise comparison method which is one of the most widely used procedures for estimating criterion weights in GIS-MCDA applications (Malczewski, 2006). This method is part of the multicriteria decision module in several GIS-MCDA applications (Boroushaki and Malczewski, 2008;Ozturk and Batuk, 2011). AHP simplifies decision making by reducing complex decision problems often involving conflicting factors into pair-wise comparisons.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Integrated Modeling of Land and Water Resources in two African Catchments

Yalew¹

2018

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Although all care is taken to ensure integrity and the quality of this publication and the information herein, no responsibility is assumed by the publishers, the author nor UNESCO-IHE for any damage to the property or persons as a result of operation or use of this publication and/or the information contained herein. A pdf version of this work will be made available as Open Access via http://repository.tudelft.nl/ihe This version is licensed under the Creative Commons SUMMARYLand and water are two of the most important and interacting natural resources that are critical for human survival and development. Growing population and global economic expansion are accelerating the demand for land and water for uses such as agriculture, urbanization, irrigation, hydropower, and industrialization. The land surface changes dynamically due to these demands and other socio-economic drivers. Biophysical factors such as topographic suitability, climate change, and rainfall variability further influence landuse changes and land-use change decisions. Water resources are likewise experiencing pressure from overuse, pollution, and changes in hydrologic processes as a result of both socio-economic and biophysical factors.Land and water resources are considered to have strong interactions. Although the science of this interaction is not new, the two are typically managed under separate governance systems (Le Maitre et al., 2014). As a result, land-use change and hydrology or water resources are studied usually separately. Modelers and model developers reproduced the existing separation in governance of land and water resources in their respective models, which gave rise to mild treatment of one of the resources when analyzing the other. The result is that hydrology and water resources are often considered to be processes and resources affected only by biophysical components, ignoring anthropogenic contributions that may actually influence such characteristics through direct effects on land-use, for instance.The need to understand and explicitly represent the interaction between water resources on the one hand and land-use changes with its drivers on the other is imperative for sustainable management of integrated natural resources management in general and land and water resources management in particular. In recent years, interesting sub-disciplines such as 'socio-hydrology' are emerging which recognize and emphasize the importance of socioeconomic and anthropogenic effects on hydrologic and water resources analysis. Interaction and feedback between land-use and water resources is still not explicitly and dynamically represented in most scientific modeling tools related to land and water, however.Furthermore, often due to limitations of access and computing resources, frameworks for communicating integrated assessment and modeling in a way that can be operational to resource managers and decision makers related to such resources is limited. This is especially evident in developing regions. After the land-use models calibrated and...

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“…The traditional implementation of AHP used in this study was based on [27] [29] [30]. The consistency ratio (CR) was calculated for the experts opinions to check if it is less than or equal to 0.1, thereby to check the suitability of each pairwise comparison matrix for the AHP analysis.…”

Section: Ahp Analysismentioning

confidence: 99%

AHP with GIS for a Preliminary Site Selection of Wind Turbines in the North West of Jordan

Al‐Shabeeb¹,

Al‐Adamat²,

Mashagbah³

2016

IJG

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The aim of this study was to identify potential sites for wind turbine in the North West of Jordan. The Analytic Hierarchy Process (AHP) was used in a novel approach to identify the potential sites for the wind turbine in the study area based on five physical criteria (Wind Speed, Rainfall, Slope, Altitude and Land use) that affect the wind turbine sites. The importance of each criterion was based on experts' opinions. The ratings for each criterion were based on the available literature review. The consistency ratio between the experts' opinions was evaluated using the pairwise comparison method and a final weight was computed for each criterion. A wind turbine suitability map was generated using the weighted linear combination (WLC) method within GIS environment. It was found that 45% of the study area has high and very high suitability for wind turbine. In conclusion, this research will contribute to the enhancement of the available renewable energy resources in Jordan if the selected sites will be utilized for wind turbine.

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IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

Cited by 63 publications

References 22 publications

Urban Growth Simulation of Atakum (Samsun, Turkey) Using Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models

Urban Growth Simulation of Atakum (Samsun, Turkey) Using Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models

Integrated Modeling of Land and Water Resources in two African Catchments

AHP with GIS for a Preliminary Site Selection of Wind Turbines in the North West of Jordan

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