03561nam 22005895 450 991087899100332120240803130459.09789819740222(electronic bk.)978981974021510.1007/978-981-97-4022-2(MiAaPQ)EBC31579720(Au-PeEL)EBL31579720(CKB)33645683600041(DE-He213)978-981-97-4022-2(EXLCZ)993364568360004120240803d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierGeographic Data Analysis Using R /by Xindong He1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (238 pages)Print version: He, Xindong Geographic Data Analysis Using R Singapore : Springer,c2024 9789819740215 Introduction 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.This 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. .Geographic information systemsRegression analysisEnvironmental geographyOperations researchGeographical Information SystemLinear Models and RegressionIntegrated GeographyOperations Research and Decision TheoryGeographic information systems.Regression analysis.Environmental geography.Operations research.Geographical Information System.Linear Models and Regression.Integrated Geography.Operations Research and Decision Theory.910.285He Xindong1764422MiAaPQMiAaPQMiAaPQ9910878991003321Geographic Data Analysis Using R4205176UNINA