000 -LEADER |
fixed length control field |
01824 a2200229 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20211217124402.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
211217b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
ISBN |
9781108712934 |
040 ## - CATALOGING SOURCE |
Transcribing agency |
IIT Kanpur |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
910.285 |
Item number |
G863s |
100 ## - MAIN ENTRY--AUTHOR NAME |
Personal name |
Grekousis, George |
245 ## - TITLE STATEMENT |
Title |
Spatial analysis methods and practice |
Remainder of title |
describe-explore-explain through GIS |
Statement of responsibility, etc |
George Grekousis |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher |
Cambridge University Press |
Year of publication |
2020 |
Place of publication |
Cambridge |
300 ## - PHYSICAL DESCRIPTION |
Number of Pages |
xv, 518p |
500 ## - GENERAL NOTE |
General note |
With solved examples in ArcGIS, GeoDa and GeoDa Space |
520 ## - SUMMARY, ETC. |
Summary, etc |
This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Spatial analysis (Statistics) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Geographic information systems |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Books |