Spatial Statistics for Data Science: Theory and Practice with R
暫譯: 數據科學的空間統計：R 的理論與實踐
Moraga, Paula
- 出版商: CRC
- 出版日期: 2023-12-08
- 售價: $3,980
- 貴賓價: 9.5 折 $3,781
- 語言: 英文
- 頁數: 280
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032633514
- ISBN-13: 9781032633510
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相關分類:
R 語言、Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R. The book provides a comprehensive overview of the varying types of spatial data, and detailed explanations of the theoretical concepts of spatial statistics, alongside fully reproducible examples which demonstrate how to simulate, describe, and analyze spatial data in various applications. Combining theory and practice, the book includes real-world data science examples such as disease risk mapping, air pollution prediction, species distribution modeling, crime mapping, and real state analyses. The book utilizes publicly available data and offers clear explanations of the R code for importing, manipulating, analyzing, and visualizing data, as well as the interpretation of the results. This ensures contents are easily accessible and fully reproducible for students, researchers, and practitioners.
Key Features:
- Describes R packages for retrieval, manipulation, and visualization of spatial data
- Offers a comprehensive overview of spatial statistical methods including spatial autocorrelation, clustering, spatial interpolation, model-based geostatistics, and spatial point processes
- Provides detailed explanations on how to fit and interpret Bayesian spatial models using the integrated nested Laplace approximation (INLA) and stochastic partial differential equation (SPDE) approaches
商品描述(中文翻譯)
空間數據對於改善各個領域的決策至關重要，包括環境、健康、生態、城市規劃、經濟和社會。《Spatial Statistics for Data Science: Theory and Practice with R》描述了使用 R 來分析空間數據的統計方法、建模方法和可視化技術。本書全面概述了各種空間數據的類型，並詳細解釋了空間統計的理論概念，還提供了完全可重現的範例，展示如何在各種應用中模擬、描述和分析空間數據。結合理論與實踐，本書包括了現實世界的數據科學範例，如疾病風險地圖、空氣污染預測、物種分佈建模、犯罪地圖和房地產分析。本書利用公開可用的數據，並提供清晰的 R 代碼解釋，用於導入、操作、分析和可視化數據，以及結果的解釋。這確保了內容對學生、研究人員和實務工作者都易於訪問且完全可重現。
主要特點：
- 描述 R 套件以檢索、操作和可視化空間數據
- 提供空間統計方法的全面概述，包括空間自相關、聚類、空間插值、基於模型的地質統計學和空間點過程
- 提供詳細解釋如何使用集成嵌套拉普拉斯近似（INLA）和隨機偏微分方程（SPDE）方法來擬合和解釋貝葉斯空間模型
作者簡介
Paula Moraga is Professor of Statistics at King Abdullah University of Science and Technology (KAUST). She received her Master's in Biostatistics from Harvard University and her Ph.D. in Mathematics from the University of Valencia. Dr. Moraga develops innovative statistical methods and open-source software for spatial data analysis and health surveillance, including R packages for spatio-temporal modeling, detection of clusters, and travel-related spread of disease. Her work has directly informed strategic policy in reducing the burden of diseases such as malaria and cancer in several countries. Dr. Moraga has published extensively in leading journals, and serves as an Associate Editor of the Journal of the Royal Statistical Society Series A. She is the author of the book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC). Dr. Moraga received the prestigious Letten Prize for her pioneering research in disease surveillance, and her significant contributions in the development of sustainable solutions to health and environmental challenges globally.
作者簡介(中文翻譯)
保拉·莫拉加是阿卜杜拉國王科技大學（KAUST）的統計學教授。她在哈佛大學獲得生物統計學碩士學位，並在瓦倫西亞大學獲得數學博士學位。莫拉加博士開發創新的統計方法和開源軟體，用於空間數據分析和健康監測，包括用於時空建模、聚類檢測和與旅行相關的疾病擴散的 R 套件。她的研究直接影響了幾個國家在減少瘧疾和癌症等疾病負擔方面的戰略政策。莫拉加博士在頂尖期刊上發表了大量文章，並擔任《皇家統計學會A系列期刊》的副編輯。她是書籍《地理空間健康數據：使用 R-INLA 和 Shiny 的建模與可視化》（Chapman & Hall/CRC）的作者。莫拉加博士因其在疾病監測方面的開創性研究以及在全球健康和環境挑戰可持續解決方案發展中的重要貢獻而獲得了著名的 Letten 獎。
