MARC details
| 000 -LEADER |
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| fixed length control field |
04588cam a2200409 i 4500 |
| 001 - ACCESSION NUMBER |
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| control field |
cutn |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CUTN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230811152218.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
200504s2021 cau 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781526449368 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1526449366 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781526449351 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1526449358 (pbk.) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1245858190 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
CUA000349153 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)on1245858190 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
FIE |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
FIE |
| Modifying agency |
OCLCO |
| -- |
CVU |
| -- |
NUSCL |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
CVUA |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
G70.3 |
| Item number |
.C66 2021 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.502 |
| Item number |
COM |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
G70.3 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
Com 2021 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Comber, Lex, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Geographical data science and spatial data analysis : |
| Remainder of title |
an introduction in R / |
| Statement of responsibility, etc |
Lex Comber, Chris Brunsdon. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
London : |
| Name of publisher, distributor, etc |
Sage, |
| Date of publication, distribution, etc |
c2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv, 339 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
25 cm. |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Spatial analytics and GIS series. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1: Introduction to Geographical Data Science and Spatial Data Analytics Chapter 2: Data and Spatial Data in R Chapter 3: A Framework for Processing Data: The Piping Syntax and dplyr Chapter 4: Creating Databases and Queries in R Chapter 5: EDA and Finding Structure in Data Chapter 6: Modelling and Exploration of Data Chapter 7: Applications of Machine Learning to Spatial Data Chapter 8: Alternative Spatial Summaries and Visualisations Chapter 9: Epilogue on the Principles of Spatial Data Analytics |
| 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"-- |
| 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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Geography |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Spatial analysis (Statistics) |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Brunsdon, Chris, |
| Relator term |
author. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Spatial analytics and GIS series. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
General Books |
