Free Downloadable Journal of Geographical Information Systems for Aquaculture  

Below are some of Free Journal GIS and Remote Sensing Article compile from

Ross, L.G., Mendoza QM, E.A., & Beveridge, M.C.M. 1993. The application of geographical information systems to site selection for coastal aquaculture: an example base on salmonid cage culture. Aquaculture, 112, 165-178.
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Aguilar-Manjarrez, J. and Ross, L.G. 1993. Aquaculture development and Geographical Information Systems. Mapping Awareness and GIS Europe. 7 (4) 49-52.
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Ross, L.G. and Beveridge, M.C.M. 1995. Is a better strategy necessary for development of native species for aquaculture? A Mexican case study. Aquaculture and Fisheries Management. 26: 539-547.
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Aguilar-Manjarrez, J., and Ross, L.G. 1995. Managing Aquaculture Development: The role of GIS in environmental studies for aquaculture. GIS World. 8: (3), 52-56.
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Nath, S.S, Bolte, J.P., Ross, L.G. and Aguilar-Manjarrez, J. 2000. Applications of Geographical Information Systems (GIS) For Spatial Decision Support in Aquaculture. Aquacultural Engineering. 23: 233-278.
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M. Abdus Salam, Ross, L.G. and Beveridge, M.C.M. 2000. Eco-tourism to protect the reserve mangrove forest of the Sundarbans and its flora and fauna. Anatolia. 11: (1), 56-66.
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Pérez, O.M., Telfer, T.C., Beveridge, M.C.M. and Ross, L.G. 2002. Geographical information systems (GIS) as a simple tool to aid modelling of particulate waste distribution at marine fish cage sites. Estuarine, Coastal and Shelf Science. 54: 761-768.
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Perez, O.M., Telfer, T.C and Ross, L.G. 2002. Optimización de la acuicultura marina de jaulas flotantes en Tenerife, Islas Canarias, mediante el uso de modelos basados en Sistemas de Información Geográfica (SIG). Revista AquaTIC. 17: October 2002.
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Salam, M. A., Ross, L.G., and Beveridge, M.C.M. 2003. A comparison of development opportunities for crab and shrimp aquaculture in South-western Bangladesh, using GIS modelling. Aquaculture. 220: 477-494.
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Pérez, O.M., del Campo Barquin, L.M., Telfer, T.C. and Ross, L.G. 2003. Water quality requirements for marine fish cage site selection in Tenerife (Canary Islands): predictive modelling and analysis using GIS. Aquaculture. 224: 51-68.
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Pérez, O.M., Telfer, T.C. and Ross, L. G. 2003. On the calculation of wave climate for offshore cage culture site selection: A case study in Tenerife (Canary Islands). Aquacultural Engineering. 29: 1-21.
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Pérez, O. M. Telfer, T. C. and Ross, L. G. 2003. Use of GIS-based models for integrating and developing marine fish cages within the tourism industry in Tenerife (Canary Islands).
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Pérez, O.M., Telfer, T.C. and Ross, L.G. 2005. Geographical information systems-based models for offshore floating marine fish cage aquaculture site selection in Tenerife, Canary Islands. Aquaculture Research. 36: 946-961.
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Corner, R.A., Brooker, A., Telfer, T.C. and Ross, L.G. 2006. A fully integrated GIS-based model of particulate waste distribution from marine fish-cage sites. Aquaculture. 258, 299-311. Download
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Applications Of Geographical Information Systems (GIS) For Spatial Decision Support In Aquaculture  

AUTHOR:


  1. Shree S.
    Nath
  2. John P. Bolte
  3. Lindsay G. Ross
  4. Jose
    Aguilar-Manjarrez





ABSTRACT:
Geographical information systems (GIS) are becoming an increasingly integral component of natural resource management activities worldwide. However, despite some indication that these tools are receiving attention within the aquaculture community, their deployment for spatial decision support in this domain continues to be very slow. This situation is attributable to a number of constraints including a lack of appreciation of the technology, limited understanding of GIS principles and associated methodology, and inadequate organizational commitment to ensure continuity of these spatial decision support tools. This paper analyzes these constraints in depth, and includes reviews of basic GIS terminology, methodology, case studies in aquaculture and future trends. The section on GIS terminology addresses the two fundamental types of GIS (raster and vector), and discusses aspects related to the visualization of outcomes. With regard to GIS methodology, the argument is made for close involvement of end users, subject matter specialists and analysts in all projects. A user-driven framework, which involves seven phases, to support this process is presented together with details of the degree of involvement of each category of personnel, associated activities and analytical procedures. The section on case studies reviews in considerable detail four aquaculture applications which are demonstrative of the extent to which GIS can be deployed, indicate the range in complexity of analytical methods used, provide insight into

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