feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Biology  (5)
Type of Medium
Language
Region
Years
Person/Organisation
Subjects(RVK)
  • 1
    UID:
    b3kat_BV046814426
    Format: xvi, 365 Seiten , Illustrationen, Diagramme
    ISBN: 9781108480383 , 9781108727341
    Content: "Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets and thoroughly explained, step-by-step R code demonstrating the analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience of interested readers, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses"--
    Note: Includes index
    Language: English
    Subjects: Computer Science , Biology
    RVK:
    RVK:
    RVK:
    Keywords: R ; Biologie ; Biostatistik ; R
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Book
    Book
    Cambridge [u.a.] : Cambridge University Press
    UID:
    b3kat_BV014740839
    Format: XI, 269 S. , Ill., graph. Darst.
    Edition: 1. publ.
    ISBN: 052181409X , 0521891086
    Note: Includes bibliographical references (p. 262-266) and index
    Language: English
    Subjects: Geography , Biology
    RVK:
    RVK:
    Keywords: Multivariate Analyse ; Ökologie
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Book
    Book
    Cambridge [u.a.] : Cambridge Univ. Press
    UID:
    kobvindex_GFZ354136712
    Format: XI, 269 S. , graph. Darst. , 26 cm
    Edition: Transferred to digital printing 2009
    ISBN: 052181409X (hb) , 0521891086 (pb.)
    Note: Contents: Preface. - 1. Introduction and data manipulation. - 1.1. Why ordination?. - 1.2. Terminology. - 1.3. Types of analyses. - 1.4. Response variables. - 1.5. Explanatory variables. - 1.6. Handling missing values in data. - 1.7. Importing data from spreadsheets - WCanoImp program. - 1.8. Transformation of species data. - 1.9. Transformation of explanatory variables. - 2. Experimental design. - 2.1. Completely randomized design. - 2.2. Randomized complete blocks. - 2.3. Latin square design. - 2.4. Most frequent errors - pseudoreplications. - 2.5. Combining more than one factor. - 2.6. Following the development of objects in time - repeated observations. - 2.7. Experimental and observational data. - 3. Basics of gradient analysis. - 3.1. Techniques of gradient analysis. - 3.2. Models of species response to environmental gradients. - 3.3. Estimating species optima by the weighted averaging method. - 3.4. Calibration. - 3.5. Ordination. - 3.6. Constrained ordination. - 3.7. Basic ordination techniques. - 3.8. Ordination diagrams. - 3.9. Two approaches. - 3.10. Testing significance of the relation with environmental variables. - 3.11. Monte Carlo permutation tests for the significance of regression. - 4. Using the Canoco for Windows 4.5 package. - 4.1. Overview of the package. - 4.2. Typical flow-chart of data analysis with Canoco for Windows. - 4.3. Deciding on the ordination method: unimodal or linear?. - 4.4. PCA or RDA ordination: centring and standardizing. - 4.5. DCA ordination: detrending. - 4.6. Scaling of ordination scores. - 4.7. Running CanoDraw for Windows 4.0. - 4.8. New analyses providing new views of our data sets. - 5. Constrained ordination and permutation tests. - 5.1. Linear multiple regression model. - 5.2. Constrained ordination model. - 5.3. RDA: constrained PCA. - 5.4. Monte Carlo permutation test: an introduction. - 5.5. Null hypothesis model. - 5.6. Test statistics. - 5.7. Spatial and temporal constraints. - 5.8. Split-plot constraints. - 5.9. Stepwise selection of the model. - 5.10. Variance partitioning procedure. - 6. Similarity measures. - 6.1. Similarity measures for presence-absence data. - 6.2. Similarity measures for quantitative data. - 6.3. Similarity of samples versus similarity of communities. - 6.4. Principal coordinates analysis. - 6.5. Non-metric multidimensional scaling. - 6.6. Constrained principal coordinates analysis (db-RDA). - 6.7. Mantel test. - 7. Classification methods. - 7.1. Sample data set. - 7.2. Non-hierarchical classification (K-means clustering). - 7.3. Hierarchical classifications. - 7.4. TWINSPAN. - 8. Regression methods . - 8.1. Regression models in general. - 8.2. General linear model: terms. - 8.3. Generalized linear models (GLM). - 8.4. Loess smoother. - 8.5. Generalized additive models (GAM). - 8.6. Classification and regression trees. - 8.7. Modelling species response curves with CanoDraw. - 9. Advanced use of ordination. - 9.1. Testing the significance of individual constrained ordination axes. - 9.2. Hierarchical analysis of community variation. - 9.3. Principal response curves (PRC) method. - 9.4. Linear discriminant analysis. - 10. Visualizing multivariate data. - 10.1. What we can infer from ordination diagrams: linear methods. - 10.2. What we can infer from ordination diagrams: unimodal methods. - 10.3. Visualizing ordination results with statistical models. - 10.4. Ordination diagnostics. - 10.5. t-value biplot interpretation. - 11. Case study 1: Variation in forest bird assemblages. - 11.1. Data manipulation. - 11.2. Deciding between linear and unimodal ordination. - 11.3. Indirect analysis: portraying variation in bird community. - 11.4. Direct gradient analysis: effect of altitude. - 11.5.Direct gradient analysis: additional effect of other habitat characteristics. - 12. Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows. - 12.1. The unconstrained ordination. - 12.2. Constrained ordinations. - 12.3. Classification. - 12.4. Suggestions for additional analyses. - 13. Case study 3: Separating the effects of explanatory variables. - 13.1. Introduction. - 13.2. Data. - 13.3. Data analysis. - 14. Case study 4: Evaluation of experiments in randomized complete blocks. - 14.1. Introduction. - 14.2. Data. - 14.3. Data analysis. - 15. Case study 5: Analysis of repeated observations of species composition from a factorial experiment. - 15.1. Introduction. - 15.2. Experimental design. - 15.3. Sampling. - 15.4. Data analysis. - 15.5. Univariate analyses. - 15.6. Constrained ordinations. - 15.7. Further use of ordination results. - 15.8. Principal response curves. - 16. Case study 6: Hierarchical analysis of crayfish community variation. - 16.1. Data and design. - 16.2. Differences among sampling locations. - 16.3. Hierarchical decomposition'of community variation. - 17. Case study 7: Differentiating two species and their hybrids with discriminant analysis. - 17.1. Data. - 17.2. Stepwise selection of discriminating variables. - 17.3. Adjusting the discriminating variables. - 17.4. Displaying results. - Appendix A: Sample datasets and projects. - Appendix B: Vocabulary. - Appendix C: Overview of available software. - References. - Index.
    Language: English
    Subjects: Geography , Biology
    RVK:
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Book
    Book
    Cambridge [u.a.] : Cambridge Univ. Press
    UID:
    b3kat_BV023097056
    Format: XI, 269 S. , Ill., graph. Darst.
    Edition: 1. publ., 3. print.
    ISBN: 9780521814096 , 9780521891080
    Language: English
    Subjects: Geography , Biology
    RVK:
    RVK:
    Keywords: Multivariate Analyse ; Ökologie
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    Book
    Book
    Cambridge [u.a.] : Cambridge University Press
    UID:
    b3kat_BV025524775
    Format: XI, 269 S. , graph. Darst.
    ISBN: 052181409X , 9780521891080 , 0521891086
    Note: Includes bibliographical references (p. 262-266) and index
    Language: English
    Subjects: Geography , Biology , Mathematics
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Multivariate Analyse ; Ökologie
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages