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ISPRS Int. J. Geo-Inf. 2018, 7(8), 326; https://doi.org/10.3390/ijgi7080326

Identification of Painted Rock-Shelter Sites Using GIS Integrated with a Decision Support System and Fuzzy Logic

1
Department of Archaeology and Anthropology, University of Bristol, Bristol BS8 1UU, UK
2
Department of Archaeological Sciences, Indian Institute of Technology Gandhinagar, Gujarat 382355, India
3
Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi 221005, India
4
Department of Archaeology, University of Southampton, Avenue Campus, Southampton SO17 1BF, UK
5
Department of Soil & Water Resources, Institute of Industrial & Forage Crops, Hellenic Agricultural Organization—“Demeter” (former “NAGREF”), 1 Theofrastou St., 41335 Larissa, Greece
*
Author to whom correspondence should be addressed.
Received: 17 May 2018 / Revised: 1 August 2018 / Accepted: 6 August 2018 / Published: 12 August 2018
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Abstract

The conservation and protection of painted rock shelters is an important issue. Throughout the world, if unprotected, they are vulnerable to vandalism or to industrial activities such as quarrying. This research explores the integrated use of a Geographic Information System (GIS) with a multi-criteria decision support system and fuzzy logic to identify possible rock art sites over the Vindhyan Plateau in the district of Mirzapur, Central India. The methodology proposed compares results obtained by spatial modelling with validation data derived from recent exhaustive field surveys of more than forty newly discovered rock-shelters in the Vindhyan region. The zones obtained by predictive modelling are in agreement with validation datasets and show that the method can be used for new site prospection. This method represents a potential tool for landscape planners and policy makers to employ when seeking protection from anthropogenic activities of potential areas of painted rock-shelter sites and archaeological deposits. View Full-Text
Keywords: rock art; GIS; predictive modelling; fuzzy logic; Central India; site characterisation; archaeology rock art; GIS; predictive modelling; fuzzy logic; Central India; site characterisation; archaeology
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Banerjee, R.; Srivastava, P.K.; Pike, A.W.G.; Petropoulos, G.P. Identification of Painted Rock-Shelter Sites Using GIS Integrated with a Decision Support System and Fuzzy Logic. ISPRS Int. J. Geo-Inf. 2018, 7, 326.

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