Geographical data science and spatial data analytics in R : (Record no. 2856)

MARC details
000 -LEADER
fixed length control field 02292cam a22002535i 4500
003 - CONTROL NUMBER IDENTIFIER
control field GSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260721090144.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200504s2020 cau 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781526449351 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency GSU
Modifying agency GSU
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276.45
Item number COM
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Comber, Lex,
Relator term author.
245 10 - TITLE STATEMENT
Title Geographical data science and spatial data analytics in R :
Remainder of title an introduction /
Statement of responsibility, etc. Lex Comber, Chris Brunsdon.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Thousand Oaks :
Name of producer, publisher, distributor, manufacturer SAGE Publications,
Date of production, publication, distribution, manufacture, or copyright notice ©2020.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 339 pages :
Other physical details illustrations ;
Dimensions 25 cm
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Spatial analytics and gis;
Volume/sequential designation book 6
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes index.
520 ## - SUMMARY, ETC.
Summary, etc. "We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. These include the questioning of classical statistical hypothesis testing (with Big Data almost everything is significant), the importance of data visualizations to support robust hypothesis development and the role of spatial data analytics to link different big spatial datasets and to support trend identification. This book builds on the tools and techniques described in An Introduction to R for Spatial Analysis and Mapping by Brunsdon and Comber, extending these into Big Spatial Data and Data Analytics. It reflects a number of recent developments in both thinking about Big Spatial Data and in handling such data in R, the open source statistical software, which have significantly increased R's ability to handle, process and visualize big data. As yet there are no text books which reflect these recent developments in data handling in R, that develop robust inferential methods for Big Data analysis, that include spatial operations in data analytics or that describe advanced spatial manipulations and visualizations of highly dimensional, spatially referenced data. This book addresses these gaps"--
Assigning source Provided by publisher.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brunsdon, Chris,
Relator term author.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Reserve
Classification part QA276.45
Call number prefix QA
Call number suffix COM
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     General Collection GSU Library Epoch GSU Library Epoch Reserve 20/07/2026 Purchase 05843   QA276.45 COM 50000007032 20/07/2026 1 20/07/2026 Reserve