Automated Taxon Identification in Systematics: Theory, Approaches and Applications
暫譯: 系統學中的自動分類識別:理論、方法與應用

MacLeod, Norman

  • 出版商: CRC
  • 出版日期: 2019-10-17
  • 售價: $3,090
  • 貴賓價: 9.5$2,936
  • 語言: 英文
  • 頁數: 368
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367388839
  • ISBN-13: 9780367388836
  • 海外代購書籍(需單獨結帳)

商品描述

The automated identification of biological objects or groups has been a dream among taxonomists and systematists for centuries. However, progress in designing and implementing practical systems for fully automated taxon identification has been frustratingly slow. Regardless, the dream has never died. Recent developments in computer architectures and innovations in software design have placed the tools needed to realize this vision in the hands of the systematics community, not several years hence, but now. And not just for DNA barcodes or other molecular data, but for digital images of organisms, digital sounds, digitized chemical data - essentially any type of digital data.

Based on evidence accumulated over the last decade and written by applied researchers, Automated Taxon Identification in Systematics explores contemporary applications of quantitative approaches to the problem of taxon recognition. The book begins by reviewing the current state of systematics and placing automated taxon identification in the context of contemporary trends, needs, and opportunities. The chapters present and evaluate different aspects of current automated system designs. They then provide descriptions of case studies in which different theoretical and practical aspects of the overall group-identification problem are identified, analyzed, and discussed.

A recurring theme through the chapters is the relationship between taxonomic identification, automated group identification, and morphometrics. This collection provides a bridge between these communities and between them and the wider world of applied taxonomy. The only book-length treatment that explores automated group identification in systematic context, this text also includes introductions to basic aspects of the fields of contemporary artificial intelligence and mathematical group recognition for the entire biological community.

商品描述(中文翻譯)

生物物件或群體的自動識別一直是分類學家和系統學家幾個世紀以來的夢想。然而,設計和實施完全自動化的分類識別系統的進展一直令人沮喪地緩慢。儘管如此,這個夢想從未消逝。最近在計算機架構和軟體設計方面的創新,將實現這一願景所需的工具交到了系統學社群的手中,不是幾年後,而是現在。而且不僅僅是針對DNA條碼或其他分子數據,還包括生物的數位影像、數位聲音、數位化的化學數據——基本上任何類型的數位數據。

基於過去十年累積的證據,並由應用研究人員撰寫的《系統學中的自動分類識別》探討了定量方法在分類識別問題中的當代應用。本書首先回顧了系統學的現狀,並將自動分類識別置於當代趨勢、需求和機會的背景中。各章節呈現並評估當前自動系統設計的不同方面。接著提供案例研究的描述,這些案例研究中識別、分析和討論了整體群體識別問題的不同理論和實踐方面。

各章中的一個重複主題是分類識別、自動群體識別和形態計量學之間的關係。這本書為這些社群之間以及它們與更廣泛的應用分類學世界之間提供了一座橋樑。作為唯一一本在系統學背景下探討自動群體識別的書籍,本書還包括對當代人工智慧和數學群體識別基本方面的介紹,面向整個生物社群。