2017
DOI: 10.1515/rgg-2017-0012
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Multi-Criteria Analysis for Solar Farm Location Suitability

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Cited by 23 publications
(21 citation statements)
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“…Several factors such as physical, social, and economic elements may affect the land-use suitability in Kuwait. In a related context, data preparation represents an important step in land suitability analysis [39,40,41,4]. Upon identifying analysis criteria, datasets of various indicators were collected, with 12 factors being deemed most important and appropriate for the study (Tables 3 and 4).…”
Section: Data Preparationmentioning
confidence: 99%
“…Several factors such as physical, social, and economic elements may affect the land-use suitability in Kuwait. In a related context, data preparation represents an important step in land suitability analysis [39,40,41,4]. Upon identifying analysis criteria, datasets of various indicators were collected, with 12 factors being deemed most important and appropriate for the study (Tables 3 and 4).…”
Section: Data Preparationmentioning
confidence: 99%
“…The criteria in Figure 2 can be classified into two main categories: Boolean (exclusionary) and favorable criteria (inclusionary). While Boolean criteria assist in identifying suitability for a particular purpose in a binary manner, favorable criteria reveal this suitability in gradual levels [4,8]. and Zwick [10] ranked suitability using values ranging from 1 to 9 for each single suitability layer, where 1 represents the lowest suitability and 9 identifies the highest suitability.…”
Section: Identifying Site Criteriamentioning
confidence: 99%
“…Data preparation represents an important step in land suitability analysis [4,6]. Upon identifying analysis criteria, datasets of various indicators were collected.…”
Section: Data Preparationmentioning
confidence: 99%
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“…This resulted in total percentage influence of 100, as required for the model to work. [57] In their studies assigned weight of 38 and 3 to solar radiation and proximity to access road.…”
Section: Processing Other Datasetsmentioning
confidence: 99%