國立高雄大學圖資館 |

Language: English

Back

An introduction to R for spatial ana...

Brunsdon, Chris,

An introduction to R for spatial analysis & mapping /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to R for spatial analysis & mapping /Chris Brunsdon and Lex Comber.
remainder title:	Introduction to R for spatial analysis and mapping
Author:	Brunsdon, Chris,
other author:	Comber, Lex,
Published:	London ;SAGE Publications,2019.
Description:	ix, 325 p. :ill. (some col.), maps (col.) ;25 cm.
Notes:	Previous edition: 2015.
Subject:	R (Computer program language)
ISBN:	9781526428493 :

An introduction to R for spatial analysis & mapping /
Brunsdon, Chris,

An introduction to R for spatial analysis & mapping /Introduction to R for spatial analysis and mappingChris Brunsdon and Lex Comber. - 2nd ed. - London ;SAGE Publications,2019. - ix, 325 p. :ill. (some col.), maps (col.) ;25 cm. - Spatial analytics and GIS. - Spatial analytics and GIS series..

Previous edition: 2015.

Includes bibliographical references and index.

1. Introduction -- 2. Data and plots -- 3. Basics of handling spatial data in R -- 4. Scripting and writing function in R -- 5. Using R as a GIS -- 6. Point pattern analysis using R -- 7. Spatial attribute analysis with R -- 8. Localised spatial analysis -- 9. R and internet data -- 10. Epilogue -- Index.

This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from 'zero to hero', updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers -- regardless of discipline -- collecting and using data with location attached.

ISBN: 9781526428493 :GBP$90Subjects--Topical Terms:

210846
R (Computer program language)

LC Class. No.: QA276.45.R3 / B78 2019

Dewey Class. No.: 519.50285

An introduction to R for spatial analysis & mapping /
LDR:02136nam a2200301 a 4500 001 571093
003 OCoLC
005 20200810033340.0
008 200908s2019 enkab b 001 0 eng d
019 $a 1043567564
020 $a 9781526428493 : $c GBP$90
020 $a 9781526428509 (pbk.)
021 0 1 $a cam a2200289 a 450
035 $a (OCoLC)1043560803 $z (OCoLC)1043567564
035 $a on1043560803
040 $a YDX $b eng $c YDX $d OCLCQ $d YDXIT $d EXC $d OCLCF $d CHVBK $d CN3HA $d SFB $d ORE
050 0 4 $a QA276.45.R3 $b B78 2019
050 4 $a QA278.2 $b .B78 2019
082 0 4 $a 519.50285 $2 23
100 1 $a Brunsdon, Chris, $e author. $3 857969
245 1 3 $a An introduction to R for spatial analysis & mapping / $c Chris Brunsdon and Lex Comber.
246 3 $a Introduction to R for spatial analysis and mapping
250 $a 2nd ed.
260 $a London ; $a Thousand Oaks, California : $b SAGE Publications, $c 2019.
300 $a ix, 325 p. : $b ill. (some col.), maps (col.) ; $c 25 cm.
490 1 $a Spatial analytics and GIS
500 $a Previous edition: 2015.
504 $a Includes bibliographical references and index.
505 0 $a 1. Introduction -- 2. Data and plots -- 3. Basics of handling spatial data in R -- 4. Scripting and writing function in R -- 5. Using R as a GIS -- 6. Point pattern analysis using R -- 7. Spatial attribute analysis with R -- 8. Localised spatial analysis -- 9. R and internet data -- 10. Epilogue -- Index.
520 $a This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from 'zero to hero', updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers -- regardless of discipline -- collecting and using data with location attached.
650 0 $a R (Computer program language) $3 210846
650 0 $a Spatial analysis (Statistics) $x Data processing. $3 286723
650 0 $a Geography $x Statistical methods. $3 185011
700 1 $a Comber, Lex, $e author. $3 857970
830 0 $a Spatial analytics and GIS series. $3 857971