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An introduction to r for spatial ana...

Comber, Lex.

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An introduction to r for spatial analysis and mapping /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to r for spatial analysis and mapping // Chris Brunsdon, Lex Comber.
Author:	Brunsdon, Chris.
other author:	Comber, Lex.
Published:	Thousand Oaks, CA :SAGE Publications, : c2019.,
Description:	ix, 325 p. :ill. (chiefly col.), maps (chiefly col.) ;25 cm.
[NT 15003449]:	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.
Subject:	R (Computer program language) -
ISBN:	9781526428509

An introduction to r for spatial analysis and mapping /
Brunsdon, Chris.

An introduction to r for spatial analysis and mapping /Chris Brunsdon, Lex Comber. - 2nd ed. - Thousand Oaks, CA :SAGE Publications,c2019. - ix, 325 p. :ill. (chiefly col.), maps (chiefly col.) ;25 cm. - Spatial analysis and GIS. - Spatial analytics and GIS series..

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: 9781526428509GBP32.99

LCCN: 2018943836Subjects--Topical Terms:

784593
R (Computer program language)

LC Class. No.: QA278.2 / .B78 2019

Dewey Class. No.: 519.50285

An introduction to r for spatial analysis and mapping /
LDR:01805nam a2200217 a 4500 001 2195743
008 200708s2018 cauab b 001 0 eng
010 $a 2018943836
020 $a 9781526428509 $q (pbk.) : $c GBP32.99
020 $a 1526428504 $q (pbk.)
040 $a DLC $b eng $e aacr2 $c DLC
042 $a pcc
050 # 4 $a QA278.2 $b .B78 2019
082 0 4 $a 519.50285 $2 23
100 1 $a Brunsdon, Chris. $3 567518
245 1 3 $a An introduction to r for spatial analysis and mapping / $c Chris Brunsdon, Lex Comber.
250 $a 2nd ed.
260 # $a Thousand Oaks, CA : $b SAGE Publications, $c c2019.
300 $a ix, 325 p. : $b ill. (chiefly col.), maps (chiefly col.) ; $c 25 cm.
490 1 $a Spatial analysis and GIS
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 784593
650 # 0 $a Spatial analysis (Statistics) $x Data processing. $3 908376
650 # 0 $a Geography $x Statistical methods. $3 533936
700 1 # $a Comber, Lex. $3 3426113
830 0 $a Spatial analytics and GIS series. $3 3426114