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Spatial data science : (Record no. 9466)

MARC details
000 -LEADER
fixed length control field 03392cam a22003858i 4500
001 - CONTROL NUMBER
control field 22926161
003 - CONTROL NUMBER IDENTIFIER
control field ZET-ke
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250129141751.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230111s2023 flu b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2022052399
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138311183
Qualifying information (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032473925
Qualifying information (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780429459016
Qualifying information (ebook)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency ZET-ke
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA278.2
Item number .P43 2023
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5/3502855133
Edition number 23/eng20230331
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Pebesma, Edzer J.,
Relator term author.
9 (RLIN) 27583
245 10 - TITLE STATEMENT
Title Spatial data science :
Remainder of title with applications in R /
Statement of responsibility, etc Edzer Pebesma and Roger Bivand.
250 ## - EDITION STATEMENT
Edition statement First edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton:
Name of publisher, distributor, etc CRC Press, Taylor & Francis Group,
Date of publication, distribution, etc 2023.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2304
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 300p.:
Other physical details ill. (col.)
Dimensions 23cm.
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC Press the R series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Part 1. Spatial Data 1. Getting Started 2. Coordinates 3. Geometries 4. Spherical Geometries 5. Attributes and Support 6. Data Cubes Part 2. R for Spatial Data Science 7. Introduction to sf and stars 8. Plotting spatial data 9. Large data and cloud native Part 3. Models for Spatial Data 10. Statistical modelling of spatial data 11. Point Pattern Analysis 12. Spatial Interpolation 13. Multivariate and Spatiotemporal Geostatistics 14. Proximity and Areal Data 15. Measures of spatial autocorrelation 16. Spatial Regression 17. Spatial econometrics models Appendix A. Older R Spatial Packages
520 ## - SUMMARY, ETC.
Summary, etc "Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its consequences for analysis, and how attributes of geometries can relate to geometries. In the second part of the book, these concepts are illustrated with data science examples using the R language. In the third part, statistical modelling approaches are demonstrated using real world data examples. After reading this book, a number of major spatial data analysis errors should no longer be made because of lack of knowledge. The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vector data cubes - array data with spatial and temporal dimensions. It also shows how geometrical operations change when going from a flat space to the surface of a sphere, which is what sf and stars use when coordinates are not projected (degrees longitude/latitude). Separate chapters detail a variety of plotting approaches for spatial maps using R, and different ways of handling very large vector or raster (imagery) datasets, locally, in databases, or in the cloud"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Spatial analysis (Statistics)
General subdivision Data processing.
9 (RLIN) 27584
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
9 (RLIN) 25979
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bivand, Roger,
Relator term author.
9 (RLIN) 27585
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Online version:
Main entry heading Pebesma, Edzer.
Title Spatial data science
Edition First edition.
Place, publisher, and date of publication Boca Raton, FL : CRC Press, 2023
International Standard Book Number 9780429459016
Record control number (DLC) 2022052400
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Classification part QA278.2
Call number prefix QA278.2
Call number suffix .P43
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Copy number
    Library of Congress Classification     Zetech Library - Mang'u Campus Zetech Library - Mang'u Campus General Stacks 29/01/2025 Purchase 10654   QA278.2 .P43 2023 Z012380 29/01/2025 29/01/2025 Books  
    Library of Congress Classification     Zetech Library - Ruiru Campus Zetech Library - Ruiru Campus General Stacks 06/03/2025 Purchase 10898   QA278.2 .P43 2023 Z012624 18/03/2025 29/01/2025 Books C2