Geographic Data Analysis Using R

Xindong He

ISBN 10: 981974024X / ISBN 13: 9789819740246

Published by Springer, 2025

About this Item

Geographic Data Analysis Using R | Xindong He | Taschenbuch | xx | Englisch | 2025 | Springer | EAN 9789819740246 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 136136858

Bibliographic Details

• Title: Geographic Data Analysis Using R
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 981974024X
• ISBN 13: 9789819740246
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 14D millimeters 235 millimeters width by 155 millimeters height by 14 millimeters depth
• Weight: 382 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.