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Data Acquisition and Analysis in Fisheries

Data Acquisition and Analysis in Fisheries

          
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About the Book

This book, Data Acquisition and Analysis in Fisheries, aims to provide a comprehensive guide to the state-of-the-art techniques and methodologies used in fisheries research today. The importance of precise and reliable data in fisheries cannot be overstated. Effective management strategies hinge on our ability to gather accurate data on fish populations, their habitats, and the environmental factors that influence them. This edited volume brings together contributions from leading experts in the field, offering a diverse range of perspectives and expertise on the various aspects of data acquisition and analysis. From traditional methods such as net sampling and acoustic surveys to advanced techniques including satellite remote sensing, genetic analysis, and artificial intelligence, this book covers a broad spectrum of approaches. Each chapter delves into the specific methodologies, tools, and technologies employed, providing detailed explanations and case studies that highlight their application in real- world scenarios. The book also addresses the challenges and limitations associated with different data acquisition techniques, offering insights into how these can be mitigated or overcome. In addition to the technical aspects, this volume emphasizes the importance of data quality and management. Proper data stewardship ensures that collected data is accurate, consistent, and usable for long-term research and policy-making. Chapters on data validation, storage, and sharing protocols provideessential guidelines for maintaining the integrity of fisheries data. By providing a thorough grounding in theprinciples and practices of data acquisition and analysis, this book aims to equipresearchers, managers, and students with the knowledge and tools they need tocontribute to this vital field.

Table of Contents:
1. Data Analytics in Fisheries: An Introduction - Vasisht A. K. 2. Nuances in Project Formulation for Production, Marketing Development and Fisheries Finance - Shyam S. Salim 3. Application of Statistical Software in Fisheries - Vedamurthy K. B. 4. Statistical Design and Experimental Planning - Dhandapani A. 5. Descriptive Statistics, Graphical Analysis, Info Graphics, Growth Rate Analysis and Data Mining Techniques in Fisheries - Neha Wajahat Qureshi 6. Cluster Analysis for Researchable Datasets in Fisheries - Ashok Kumar J. 7. Conjoint Analysis in Fisheries Data Sets - V. Geethalakshmi 8. Basics of Time Series Analysis and Forecasting using Longitudinal Data in Fisheries - Shinoj Parappurathu 9. Resource Cost Ratio Approach to Estimate Social Profitability of Fisheries Enterprises: The Case of Integrated Fish Farming - Biswajit Debnath 10. Methodologies for Analyzing Fish Marketing Data - Biswajit Debnath 11. Analysis of Classic Breeding Experimental Data using Linear Mixed Models and Estimation of Variance Components - J. Jayasankar 12. Linear, Non-Linear and Logistic Regression in Fisheries Data Analysis - Ramasubramanian V. 13. Market Integration and Price Transmission Analysis of Time Series Data in Fisheries - Krishnan M. 14. Big Data in Fisheries - Ravichandran S. 15. Limited Dependent Variable Models - Kiresur V.R. 16. Variance Components and Estimation of Genetic Parameters - Shrinivas Jahageerdar 17. Non-Parametric Data Analysis in Fisheries - Sethuraman Sivakumar P. 18. Cutting Edge Technologies in Fisheries - Murthy G. R. K. 19. Methodologies for Assessing Climate Change Impacts on Agriculture, Fisheries and Aquaculture - Saravanakumar V 20. Unique Approaches in Impact Evaluation - Sivaramane N 21. Methodological Issues in Fisheries Data Collection - Ramanujam Jayaraman 22. Writing Research Papers: Breaking Myths & Building Right Perspectives - Krishnan P.


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Product Details
  • ISBN-13: 9788119072293
  • Publisher: New India Publishing Agency
  • Publisher Imprint: New India Publishing Agency
  • Height: 229 mm
  • No of Pages: 256
  • Width: 183 mm
  • ISBN-10: 8119072294
  • Publisher Date: 28 Feb 2023
  • Binding: Hardback
  • Language: English
  • Weight: 400 gr


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