Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation

By Yuxiang Chen, J. Yu, Samee Ullah Khan. Environmental Modelling & Software, 2010

723 citations recorded by the source corpus.

Subfields: Geography, Planning and Development, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/280f3a60bb0c05317f51750e3a77844f5eb6fa19

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geography, Planning and Development

1. Piotr L. Jankowski
2. Bakhtiar Feizizadeh
3. Majid Shadman Roodposhti
4. Thomas Blaschke

In Management, Monitoring, Policy and Law

1. Piotr L. Jankowski
2. Majid Shadman Roodposhti
3. Thomas Blaschke
4. Bakhtiar Feizizadeh

In Management Science and Operations Research

1. Piotr L. Jankowski
2. Fereydoon Sarmadian
3. Bakhtiar Feizizadeh
4. Majid Shadman Roodposhti
5. Mohammad Ali Ghorbani
6. A. Jafarzadeh
7. F. Shahbazi
8. Thomas Blaschke

Citations in the corpus

• A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis (2014, methodology): “They are crucial to the validation and calibration of MCDA (Chen et al., 2010b).”
• Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops (2018, background): “Practical applications of such spatial MCDM techniques have become more widespread in land suitability studies (Chang et al., 2008; Chen et al., 2010; Greene et al., 2010; Arciniegas et al., 2011; Kordi and Brandt, 2012; Elaalem, 2012; Akinci et al., 2013).”
• Comparative analysis of multi-criteria probabilistic FR and AHP models for forest fire risk (FFR) mapping in Melghat Tiger Reserve (MTR) forest (2018, methodology): “Sensitivity analysis was crucial to the validation and calibration of numerical models (Chen et al. 2010; Dhar et al. 2015).”
• A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping (2014, methodology): “GIS-based MCDA is an intelligent approach to converting spatial and non-spatial data into information that can, together with the decision maker’s own judgement, be used to assist in making critical decisions (Chen et al., 2010; Sumathi et al., 2008; Gbanie et al., 2013).”
• Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning (2015, methodology): “The AHP is one of the most commonly MCDM technique incorporated into GIS-based suitability procedures (e.g. Ananda & Herath, 2008; Chang et al., 2008; Chen et al., 2010; Kordi & Brandt, 2012; Marinoni, 2004; Svoray, Bar Kutiel, & Bannet, 2005; Thapa & Murayama, 2008).”