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An introduction to spatial data science with GeoDa. (Record no. 67509)

MARC details
000 -LEADER
fixed length control field 05533cam a2200541 i 4500
001 - CONTROL NUMBER
control field 9781003274919
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030122233.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu|||unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240409s2024 flua eob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003274919
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003274919
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032229188
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781040010877
Qualifying information (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1040010873
Qualifying information (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032229621
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781040010907
Qualifying information (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1040010903
Qualifying information (electronic bk. : EPUB)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9781003274919
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1429161854
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1429161854
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA278.2
Item number .A565 2024
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 030000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code RBG
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Anselin, Luc,
Dates associated with a name 1953-
Relator term author.
9 (RLIN) 93280
245 13 - TITLE STATEMENT
Title An introduction to spatial data science with GeoDa.
Number of part/section of a work Volume 1.
Name of part/section of a work Exploring spatial data /
Statement of responsibility, etc. Luc Anselin.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton, FL :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxviii, 416 pages) :
Other physical details illustrations
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
500 ## - GENERAL NOTE
General note "A Chapman & Hall book."
520 ## - SUMMARY, ETC.
Summary, etc. This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible overview of the methodology of exploratory spatial data analysis. It also constitutes the definitive user's guide for the widely adopted GeoDa open-source software for spatial analysis. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques, using dynamic graphics for thematic mapping, statistical graphing, and, most centrally, the analysis of spatial autocorrelation. Key to this analysis is the concept of local indicators of spatial association, pioneered by the author and recently extended to the analysis of multivariate data. The focus of the book is on intuitive methods to discover interesting patterns in spatial data. It offers a progression from basic data manipulation through description and exploration to the identification of clusters and outliers by means of local spatial autocorrelation analysis. A distinctive approach is to spatialize intrinsically non-spatial methods by means of linking and brushing with a range of map representations, including several that are unique to the GeoDa software. The book also represents the most in-depth treatment of local spatial autocorrelation and its visualization and interpretation by means of GeoDa. The book is intended for readers interested in going beyond simple mapping of geographical data to gain insight into interesting patterns. Some basic familiarity with statistical concepts is assumed, but no previous knowledge of GIS or mapping is required. Key Features: •Includes spatial perspectives on cluster analysis•Focuses on exploring spatial data•Supplemented by extensive support with sample data sets and examples on the GeoDaCenter website This book is both useful as a reference for the software and as a text for students and researchers of spatial data science. Luc Anselin is the Founding Director of the Center for Spatial Data Science at the University of Chicago, where he is also the Stein-Freiler Distinguished Service Professor of Sociology and the College, as well as a member of the Committee on Data Science. He is the creator of the GeoDa software and an active contributor to the PySAL Python open-source software library for spatial analysis. He has written widely on topics dealing with the methodology of spatial data analysis, including his classic 1988 text on Spatial Econometrics. His work has been recognized by many awards, such as his election to the U.S. National Academy of Science and the American Academy of Arts and Science.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Introduction. Chapter 2: Basic Data Operations. Chapter 3: GIS Operations. Chapter 4: Geovisualization. Chapter 5: Statistical Maps. Chapter 6: Maps for Rates. Chapter 7: Univariate and Bivariate Data Exploration. Chapter 8: Multivariate Data Exploration. Chapter 9: Space-Time Exploration. Chapter 10: Contiguity-Based Spatial Weights. Chapter 11: Distance-Based Spatial Weights. Chapter 12: Special Weights Operations. Chapter 13: Spatial Autocorrelation. Chapter 14: Advanced Global Spatial Autocorrelation. Chapter 15: Nonparametric Spatial Autocorrelation. Chapter 16: LISA and Local Moran. Chapter 17: Other Local Spatial Autocorrelation Statistics. Chapter 18: Multivariate Local Spatial Autocorrelation. Chapter 19: LISA for Discrete Variables. Chapter 20: Density-Based Clustering Methods. Chapter 21: Postscript - The Limits of Exploration. Appendices, Bibliography
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
Source of heading or term bisacsh
9 (RLIN) 65432
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 61634
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Data processing.
9 (RLIN) 93281
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title GeoDa (Computer file)
9 (RLIN) 93282
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9781003274919">https://www.taylorfrancis.com/books/9781003274919</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type

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Biblioteca Universității "Dunărea de Jos" din Galați