Buy Entropy Measures for Environmental Data - Bookswagon
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Mathematics and Science Textbooks > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere > Entropy Measures for Environmental Data: Description, Sampling and Inference for Data with Dependence Structures(Advances in Geographical and Environmental Sciences)
Entropy Measures for Environmental Data: Description, Sampling and Inference for Data with Dependence Structures(Advances in Geographical and Environmental Sciences)

Entropy Measures for Environmental Data: Description, Sampling and Inference for Data with Dependence Structures(Advances in Geographical and Environmental Sciences)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

This book shows how to successfully adapt entropy measures to the complexity of environmental data. It also provides a unified framework that covers all main entropy and spatial entropy measures in the literature, with suggestions for their potential use in the analysis of environmental data such as biodiversity, land use and other phenomena occurring over space or time, or both. First, recent literature reviews about including spatial information in traditional entropy measures are presented, highlighting the advantages and disadvantages of past approaches and the difference in interpretation of their proposals. A consistent notation applicable to all approaches is introduced, and the authors' own proposal is presented. Second, the use of entropy in spatial sampling is focused on, and a method with an outstanding performance when data show a negative or complex spatial correlation is proposed. The last part of the book covers estimating entropy and proposes a model-based approach that differs from all existing estimators, working with data presenting any departure from independence: presence of covariates, temporal or spatial correlation, or both. The theoretical parts are supported by environmental examples covering point data about biodiversity and lattice data about land use. Moreover, a practical section is provided for all parts of the book; in particular, the R package SpatEntropy covers not only the authors' novel proposals, but also all the main entropy and spatial entropy indices available in the literature. R codes are supplemented to reproduce all the examples. This book is a valuable resource for students and researchers in applied sciences where the use of entropy measures is of interest and where data present dependence on space, time or covariates, such as geography, ecology, biology and landscape analysis.

About the Author :
Dr.Linda Altieri is a senior assistant professor in the Department of Statistical Sciences of the University of Bologna, after having served as a research fellow there. She has a bachelor's degree in political science, a master's and a Ph.D. in statistics. She completed her M.D. thesis and part of her Ph.D. project in the University of Glasgow, with short-term visits at the University of St. Andrews, and she has taken part in many national and international statistical conferences. In 2021, she obtained the National Scientific Qualification, an official Italian recognition for university professor position recruiting, based on scientific qualification criteria. Her research interests include Bayesian spatial modelling applied to environmental data, especially point process data, and diversity and entropy measures with a focus on urban data. She also works on temporal point processes for capture-recapture data with behavioural responses. She teaches statistics in diplomatic and international science and economics courses as well as environmental statistics in statistics and math courses. She has authored many papers and has been a reviewer in reputed journals of statistics.Professor Daniela Cocchi has been a full professor in the Department of Statistical Sciences of the University of Bologna since 1994. She has a Ph.D. in statistics from the Université Catholique de Louvain (Belgium). She has been a member of several scientific committees and councils of national and international statistical associations, an editor of statistical journals and principal investigator of a number of projects. From 2014 to 2016, she was a member of the Committee for Research Evaluation for the University of Bologna. From 2015 to 2022, she covered a number of positions within the Italian National Institute of Statistics (ISTAT), the most recent being as a coordinator of the ISTAT Methodology Advisory Committee. From 2017 to 2020, she was the principal investigator of an interdisciplinary project for statistical applications to environmental data (EPHASTAT), funded by the Italian Ministry of Education, Universities and Research. Since 2021, she has been a member of the European Statistical Governance Advisory Board (ESGAB). Her scientific research includes methods for finite population sampling and Bayesian spatial modelling, diversity measures and applications to environmental and epidemiological data. She has authored many papers in reputed journals of statistics and is active in promoting contacts with institutions interested in statistical analysis. Her teaching activities at the University of Bologna include Bayesian statistics, survey sampling and record linkage in undergraduate, master's and Ph.D. courses.


Best Sellers


Product Details
  • ISBN-13: 9789819725489
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 235 mm
  • No of Pages: 156
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: Advances in Geographical and Environmental Sciences
  • Width: 155 mm
  • ISBN-10: 9819725488
  • Publisher Date: 17 Jul 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Sub Title: Description, Sampling and Inference for Data with Dependence Structures


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Entropy Measures for Environmental Data: Description, Sampling and Inference for Data with Dependence Structures(Advances in Geographical and Environmental Sciences)
Springer -
Entropy Measures for Environmental Data: Description, Sampling and Inference for Data with Dependence Structures(Advances in Geographical and Environmental Sciences)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Entropy Measures for Environmental Data: Description, Sampling and Inference for Data with Dependence Structures(Advances in Geographical and Environmental Sciences)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!