Muutke küpsiste eelistusi

R Coding for Ecology [Pehme köide]

  • Formaat: Paperback / softback, 340 pages, kõrgus x laius: 235x155 mm, 50 Illustrations, color; 13 Illustrations, black and white; X, 340 p. 63 illus., 50 illus. in color., 1 Paperback / softback
  • Sari: Use R!
  • Ilmumisaeg: 21-Oct-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303199664X
  • ISBN-13: 9783031996641
  • Pehme köide
  • Hind: 104,29 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 122,69 €
  • Säästad 15%
  • See raamat ei ole veel ilmunud. Raamatu kohalejõudmiseks kulub orienteeruvalt 2-4 nädalat peale raamatu väljaandmist.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 340 pages, kõrgus x laius: 235x155 mm, 50 Illustrations, color; 13 Illustrations, black and white; X, 340 p. 63 illus., 50 illus. in color., 1 Paperback / softback
  • Sari: Use R!
  • Ilmumisaeg: 21-Oct-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303199664X
  • ISBN-13: 9783031996641
This book is devoted to ecological data analysis with R, with examples created by the developers of the described packages. R software is now an important reality in ecological informatics. Specific packages have been developed to manage, analyse and visualize ecological data. This book is a comprehensive catalogue of ecological R packages with running examples! This step-by-step procedure book is aimed at students and researchers with previous experience in R with a passion for coding their own ecological analyses. 

Part I: Introduction.-
1. Introduction to the book.- . Part II: Species
distribution modelling and Community ecology.-
2. The sdm R package for
species distribution modelling .-
3. The ecospat R package: a collection of
pre-, core- and post-modeling tools to investigate species niches and
distributions .-
4. The ecodist package for dissimilarity-based analysis of
ecological data .-
5. Sampling ecologically meaningful pseudo-absences with
the USE R package .-
6. Rarefaction curves with Rarefy package .- . Part III:
Ecological remote sensing.-
7. A plant trait-based approach to map forest
biodiversity using imaging spectroscopy and physical modeling .-
8. Bridging
remote sensing and movement ecology .-
9. The rasterdiv package for measuring
diversity from space .-
10. The imageRy package for teaching remote sensing
in a straightforward way .- . Part IV: Spatial ecology.-
11. The
landscapemetrics and motif packages for measuring landscape patterns and
processes.-
12. The CAST package for training and assessment of spatial
prediction models .-
13. The cblindplot R package: Building new bridges to
visually inclusive science for colourblind people.-
14. The cartogram package
for mapping ecological patterns.
Duccio Rocchini [ born in Siena in 1975] is Full Professor at Alma Mater Studiorum University of Bologna since December 2019, after having been Associate Professor in Biology and Ecology at the University of Trento, Italy. He attained his PhD in 2005, dealing with remote sensing applied to the study of plant communities. His main research interests are related to plant community ecology, biodiversity analysis at multiple spatial scales, species distribution modelling, spatial and computational ecology and ecological remote sensing.



Over the years he promoted the use of remote sensing for the study of biodiversity change in space and time, publishing more than 200 indexed papers on this topic. He is continuing this activity in projects like the H2020 SHOWCASE or the Horizon Europe B3 and EarthBridge projects.