JOURNAL ARTICLE

Geographic Data Science with R: Visualizing and Analyzing Environmental Change.

  • Published In: Journal of the Royal Statistical Society: Series A (Statistics in Society), 2025, v. 188, n. 1. P. 342 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Cox, Nicholas J 3 of 3

Abstract

The article discusses the evolution of statistical methods in geography towards geographic data science, focusing on the use of the R language. The book highlighted in the text emphasizes environmental topics and provides clear explanations and examples using datasets from Oklahoma. While the emphasis on visualization is comprehensive, some more advanced statistical methods could be included in future editions. The article concludes by praising the extended case studies included in the book and the availability of downloadable datasets for further exploration. [Extracted from the article]

Additional Information

  • Source:Journal of the Royal Statistical Society: Series A (Statistics in Society). 2025/01, Vol. 188, Issue 1, p342
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2025
  • ISSN:0964-1998
  • DOI:10.1093/jrsssa/qnae070
  • Accession Number:182297089
  • Copyright Statement:Copyright of Journal of the Royal Statistical Society: Series A (Statistics in Society) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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