Jan Lepš
University of South Bohemia, Czech Republic
Petr Šmilauer
University of South Bohemia, Czech Republic
This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website.
• Written for ecologists - no background in statistics necessary • Contains hands-on tutorials • Datasets are provided
Contents
1. Introduction and data manipulation; 2. Experimental design; 3. Basics of gradient analysis; 4. Using Canoco; 5. Constrained ordination and permutation tests; 6. Similarity measures; 7. Classification methods; 8. Regression methods; 9. Advanced use of ordination; 10. Visualising multivariate data; 11. Case study 1: variation in forest bird assemblages; 12. Case study 2: search for community composition patterns and their environmental correlates: vegetation of spring meadows; 13. Case study 3: separating the effects of explanatory variables; 14. Case study 4: evaluation of experiments in randomised complete blocks; 15. Case study 5: analysis of repeated observations of species composition from factorial experiment; 16. Case study 6: hierarchical analysis of crayfish community variation; 17. Case study 7: differentiating two species and their hybrids with discriminant analysis.
發表於2024-12-23
Multivariate Analysis of Ecological Data using CANOCO 2024 pdf epub mobi 電子書 下載
本書需要的數學基礎並不很深,可以滿足非數學專業人員的使用,同時對於canoco的使用亦有充分的說明; 但本書的邏輯性和關係並不是很清晰,思路較為淩亂,對模型驗證校正參數估計等部分的介紹在很多時候仍不夠專業. 2009年再次重新翻讀瞭這本書,感覺仍然是適閤於初學者,對於某些...
評分本書需要的數學基礎並不很深,可以滿足非數學專業人員的使用,同時對於canoco的使用亦有充分的說明; 但本書的邏輯性和關係並不是很清晰,思路較為淩亂,對模型驗證校正參數估計等部分的介紹在很多時候仍不夠專業. 2009年再次重新翻讀瞭這本書,感覺仍然是適閤於初學者,對於某些...
評分本書需要的數學基礎並不很深,可以滿足非數學專業人員的使用,同時對於canoco的使用亦有充分的說明; 但本書的邏輯性和關係並不是很清晰,思路較為淩亂,對模型驗證校正參數估計等部分的介紹在很多時候仍不夠專業. 2009年再次重新翻讀瞭這本書,感覺仍然是適閤於初學者,對於某些...
評分本書需要的數學基礎並不很深,可以滿足非數學專業人員的使用,同時對於canoco的使用亦有充分的說明; 但本書的邏輯性和關係並不是很清晰,思路較為淩亂,對模型驗證校正參數估計等部分的介紹在很多時候仍不夠專業. 2009年再次重新翻讀瞭這本書,感覺仍然是適閤於初學者,對於某些...
評分本書需要的數學基礎並不很深,可以滿足非數學專業人員的使用,同時對於canoco的使用亦有充分的說明; 但本書的邏輯性和關係並不是很清晰,思路較為淩亂,對模型驗證校正參數估計等部分的介紹在很多時候仍不夠專業. 2009年再次重新翻讀瞭這本書,感覺仍然是適閤於初學者,對於某些...
圖書標籤: CANOCO Ecology statistics 生態 馬上要看1 誰有這本書 生物 數理
聰明的捷剋人
評分聰明的捷剋人
評分聰明的捷剋人
評分聰明的捷剋人
評分聰明的捷剋人
Multivariate Analysis of Ecological Data using CANOCO 2024 pdf epub mobi 電子書 下載