Habitat suitability modelling for Gaur (Bos gaurus) using multiple logistic regression, remote sensing and GIS

@article{Imam2013HabitatSM,
  title={Habitat suitability modelling for Gaur (Bos gaurus) using multiple logistic regression, remote sensing and GIS},
  author={E. Imam and S. Kushwaha},
  journal={Journal of Applied Animal Research},
  year={2013},
  volume={41},
  pages={189 - 199}
}
  • E. Imam, S. Kushwaha
  • Published 2013
  • Environmental Science
  • Journal of Applied Animal Research
  • The aim of this study is to produce georeferenced ecological information about the suitable habitats available for gaur Bos gaurus in Chandoli tiger reserve, India (17° 04′ 00″ N to 17° 19′ 54″ N and 73° 40′ 43″ E to 73° 53′ 09″ E). Habitat suitability index (H.S.I.) was developed using multiple logistic regression (MLR) integrated with remote sensing (RS) and geographic information system (GIS). Satellite imageries of study area, acquired from Indian remote sensing satellite-P6, linear imaging… CONTINUE READING
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