| 000 | 03536nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-27603-4 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125027.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 200117s2020 sz | s |||| 0|eng d | ||
| 020 |
_a9783030276034 _9978-3-030-27603-4 |
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| 024 | 7 |
_a10.1007/978-3-030-27603-4 _2doi |
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| 050 | 4 | _aQA76.76.C65 | |
| 072 | 7 |
_aUMC _2bicssc |
|
| 072 | 7 |
_aCOM010000 _2bisacsh |
|
| 072 | 7 |
_aUMC _2thema |
|
| 082 | 0 | 4 |
_a005.45 _223 |
| 100 | 1 |
_aLakicevic, Milena. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aIntroduction to R for Terrestrial Ecology _h[electronic resource] : _bBasics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R / _cby Milena Lakicevic, Nicholas Povak, Keith M. Reynolds. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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| 300 |
_aXVII, 158 p. 57 illus., 49 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _a1. Types of Data in R -- 2. Numerical Analysis -- 3. Creating Maps -- 4. Basic Statistical Tests -- 5. Predictive Modeling with Machine Learning Applications -- Appendix. | |
| 520 | _aThis textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and professionals. The textbook deals with solving specific programming tasks in R, and tasks are organized in terms of gradually increasing R proficiency, with examples getting more challenging as the chapters progress. The main competencies students will acquire from this textbook are: manipulating and processing data tables performing statistical tests creating maps in R This textbook will be useful in undergraduate and graduate courses in Advanced LandscapeEcology, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics. . | ||
| 650 | 0 | _aCompilers (Computer programs). | |
| 650 | 0 | _aBiometry. | |
| 650 | 0 | _aStatistics . | |
| 650 | 0 | _aEcology . | |
| 650 | 1 | 4 | _aCompilers and Interpreters. |
| 650 | 2 | 4 | _aBiostatistics. |
| 650 | 2 | 4 | _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | _aTerrestial Ecology. |
| 650 | 2 | 4 | _aTheoretical and Statistical Ecology. |
| 700 | 1 |
_aPovak, Nicholas. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 700 | 1 |
_aReynolds, Keith M. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030276027 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030276041 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030276058 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-27603-4 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c173400 _d173400 |
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