東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Soil spectral inference with R = ana...

Wadoux, Alexandre M.J.-C.

Linked to FindBook

Google Book

Amazon

博客來

Soil spectral inference with R = analysing digital soil spectra using the R programming environment /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Soil spectral inference with R/ by Alexandre M.J.-C. Wadoux ... [et al.].
Reminder of title:	analysing digital soil spectra using the R programming environment /
other author:	Wadoux, Alexandre M.J.-C.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xv, 247 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Getting Started with R -- 3. Material -- 4. Data Handling of Spectra -- 5. Pre-Processing of Spectra -- 6. Similarity between Spectra and the Detection of Outlier -- 7. Selection of the Calibration Sample -- 8. Estimating Soil Properties and Classes from Spectra -- 9. Spectral Transformation.
Contained By:	Springer Nature eBook
Subject:	Soils - Analysis. -
Online resource:	https://doi.org/10.1007/978-3-030-64896-1
ISBN:	9783030648961

Soil spectral inference with R = analysing digital soil spectra using the R programming environment /
Soil spectral inference with Ranalysing digital soil spectra using the R programming environment /[electronic resource] :by Alexandre M.J.-C. Wadoux ... [et al.]. - Cham :Springer International Publishing :2021. - xv, 247 p. :ill. (some col.), digital ;24 cm. - Progress in soil science,2352-4774. - Progress in soil science..

1. Introduction -- 2. Getting Started with R -- 3. Material -- 4. Data Handling of Spectra -- 5. Pre-Processing of Spectra -- 6. Similarity between Spectra and the Detection of Outlier -- 7. Selection of the Calibration Sample -- 8. Estimating Soil Properties and Classes from Spectra -- 9. Spectral Transformation.

This book provides a didactic overview of techniques for inferring information from soil spectroscopic data, and the codes in the R programming language for performing such analyses. It is intended for students, researchers and practitioners looking to infer soil information from spectroscopic data, focusing mainly on, but not restricted to, the infrared range of the electromagnetic spectrum. Little prior knowledge of the R programming language or digital soil spectra is required. We work through the steps to process spectroscopic data systematically.

ISBN: 9783030648961

Standard No.: 10.1007/978-3-030-64896-1doiSubjects--Topical Terms:

656508
Soils
--Analysis.

LC Class. No.: S593.2

Dewey Class. No.: 631.41

Soil spectral inference with R = analysing digital soil spectra using the R programming environment /
LDR:01980nmm a2200337 a 4500 001 2238107
003 DE-He213
005 20210421134236.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030648961 $q (electronic bk.)
020 $a 9783030648954 $q (paper)
024 7 $a 10.1007/978-3-030-64896-1 $2 doi
035 $a 978-3-030-64896-1
040 $a GP $c GP
041 0 $a eng
050 4 $a S593.2
072 7 $a TVB $2 bicssc
072 7 $a TEC003000 $2 bisacsh
072 7 $a TVB $2 thema
082 0 4 $a 631.41 $2 23
090 $a S593.2 $b .S683 2021
245 0 0 $a Soil spectral inference with R $h [electronic resource] : $b analysing digital soil spectra using the R programming environment / $c by Alexandre M.J.-C. Wadoux ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xv, 247 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Progress in soil science, $x 2352-4774
505 0 $a 1. Introduction -- 2. Getting Started with R -- 3. Material -- 4. Data Handling of Spectra -- 5. Pre-Processing of Spectra -- 6. Similarity between Spectra and the Detection of Outlier -- 7. Selection of the Calibration Sample -- 8. Estimating Soil Properties and Classes from Spectra -- 9. Spectral Transformation.
520 $a This book provides a didactic overview of techniques for inferring information from soil spectroscopic data, and the codes in the R programming language for performing such analyses. It is intended for students, researchers and practitioners looking to infer soil information from spectroscopic data, focusing mainly on, but not restricted to, the infrared range of the electromagnetic spectrum. Little prior knowledge of the R programming language or digital soil spectra is required. We work through the steps to process spectroscopic data systematically.
650 0 $a Soils $x Analysis. $3 656508
650 0 $a Spectrum analysis $x Computer programs. $3 3490935
650 0 $a Agriculture. $3 518588
650 0 $a Environmental monitoring. $3 542712
650 0 $a Earth sciences. $3 516659
650 2 4 $a Monitoring/Environmental Analysis. $3 3135580
650 2 4 $a Environment, general. $3 891227
650 2 4 $a Earth Sciences, general. $3 1001754
700 1 $a Wadoux, Alexandre M.J.-C. $3 3490934
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Progress in soil science. $3 2062630
856 4 0 $u https://doi.org/10.1007/978-3-030-64896-1
950 $a Earth and Environmental Science (SpringerNature-11646)