LEADER 03561nam  22005895  450 
001 9910878991003321
005 20240803130459.0
010   $a9789819740222$b(electronic bk.)
010   $z9789819740215
024 7 $a10.1007/978-981-97-4022-2
035   $a(MiAaPQ)EBC31579720
035   $a(Au-PeEL)EBL31579720
035   $a(CKB)33645683600041
035   $a(DE-He213)978-981-97-4022-2
035   $a(EXLCZ)9933645683600041
100   $a20240803d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aGeographic Data Analysis Using R /$fby Xindong He
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (238 pages)
311 08$aPrint version: He, Xindong Geographic Data Analysis Using R Singapore : Springer,c2024 9789819740215 
327   $aIntroduction to Geographic Data and R -- Descriptive Analysis of Geographic Data -- Correlation Analysis -- Linear Regression Analysis -- Geographically Weighted Regression Analysis -- Time Series Analysis -- Cluster Analysis -- Principal Component Analysis (PCA) -- Markov Chain Analysis -- Geographic Network Analysis -- Spatial Interpolation.
330   $aThis book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like linear regression analysis, geographically weighted regression analysis, time series analysis, cluster analysis, principal component analysis, Markov chain analysis, and geographical network analysis. The methodologies span from widely utilized techniques to more recent developments, and the data primarily originates from reputable sources in China. The example code provided in the book can be executed using R packages available on the CRAN website. This book is an invaluable resource for undergraduate and graduate students, as well as researchers interested in learning and applying R for processing, visualizing, and analyzing geographic data. It serves as an introductory course in quantitative methods in geography for students in geography departments. Additionally, it is an ideal supplementary text for applied methods courses across various disciplines that involve geographic data, such as human and physical geography, geographic information science, ecology, public health, crime, and economics. .
606   $aGeographic information systems
606   $aRegression analysis
606   $aEnvironmental geography
606   $aOperations research
606   $aGeographical Information System
606   $aLinear Models and Regression
606   $aIntegrated Geography
606   $aOperations Research and Decision Theory
615  0$aGeographic information systems.
615  0$aRegression analysis.
615  0$aEnvironmental geography.
615  0$aOperations research.
615 14$aGeographical Information System.
615 24$aLinear Models and Regression.
615 24$aIntegrated Geography.
615 24$aOperations Research and Decision Theory.
676   $a910.285
700   $aHe$b Xindong$01764422
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910878991003321
996   $aGeographic Data Analysis Using R$94205176
997   $aUNINA