Spatial Data Science: With Applications in R
暫譯: 空間數據科學：R語言應用實例
Pebesma, Edzer, Bivand, Roger
- 出版商: CRC
- 出版日期: 2023-05-10
- 售價: $3,470
- 貴賓價: 9.5 折 $3,297
- 語言: 英文
- 頁數: 300
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138311189
- ISBN-13: 9781138311183
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相關分類:
Data Science
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商品描述
Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its consequences for analysis, and how attributes of geometries can relate to geometries. In the second part of the book, these concepts are illustrated with data science examples using the R language. In the third part, statistical modelling approaches are demonstrated using real world data examples. After reading this book, the reader will be well equipped to avoid a number of major spatial data analysis errors.
The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vector data cubes - array data with spatial and temporal dimensions. It also shows how geometrical operations change when going from a flat space to the surface of a sphere, which is what sf and stars use when coordinates are not projected (degrees longitude/latitude). Separate chapters detail a variety of plotting approaches for spatial maps using R, and different ways of handling very large vector or raster (imagery) datasets, locally, in databases, or in the cloud. The data used and all code examples are freely available online from https: //r-spatial.org/book/. The solutions to the exercises can be found here: https: //edzer.github.io/sdsr_exercises/.
商品描述(中文翻譯)
《空間數據科學》介紹了每位數據科學家在開始處理空間數據之前應該了解的基本方面。這些方面包括幾何形狀的表示方式、坐標參考系統（投影、基準面）、地球是圓的及其對分析的影響，以及幾何形狀的屬性如何與幾何形狀相關。在本書的第二部分，這些概念通過使用 R 語言的數據科學範例進行說明。在第三部分，使用現實世界數據範例展示統計建模方法。閱讀完本書後，讀者將能夠有效避免多種主要的空間數據分析錯誤。
本書詳細解釋了 R 的核心空間軟體包：sf 用於簡單特徵訪問，以及 stars 用於光柵和向量數據立方體——具有空間和時間維度的數組數據。它還展示了幾何操作在從平面空間轉換到球面時的變化，這正是 sf 和 stars 在坐標未投影（經度/緯度度數）時所使用的。獨立章節詳細介紹了使用 R 繪製空間地圖的各種繪圖方法，以及處理非常大的向量或光柵（影像）數據集的不同方式，無論是在本地、數據庫還是雲端。所使用的數據和所有代碼範例均可在 https://r-spatial.org/book/ 上免費獲得。練習的解答可以在這裡找到：https://edzer.github.io/sdsr_exercises/。
作者簡介
Edzer Pebesma is professor at the Institute for Geoinformatics of the University of Muenster, Germany, where he leads the spatiotemporal modelling lab. He co-initiated openEO, an open source software ecosystem around a language neutral API for analyzing very large data cubes and image collections.
Roger Bivand is a geographer, emeritus professor of the Department of Economics of the Norwegian School of Economics, Bergen, Norway, has worked with spatial autocorrelation since the 1970's, and is a Fellow of the Spatial Econometrics Association.
Edzer and Roger have actively interacted with the open source geospatial user and developer communities since the last century. They author and maintain a number of key R packages for the handling and analysis of spatial and spatiotemporal data, including sf, stars, s2, sp, and gstat, spdep, spatialreg and rgrass. Both are ordinary members of the R foundation.
作者簡介(中文翻譯)
Edzer Pebesma 是德國明斯特大學地理資訊學研究所的教授，負責時空建模實驗室。他共同發起了 openEO，一個圍繞著語言中立 API 的開源軟體生態系統，用於分析非常大的數據立方體和影像集合。
Roger Bivand 是一位地理學家，挪威經濟學院經濟系的名譽教授，自1970年代以來一直從事空間自相關的研究，並且是空間計量經濟學協會的會員。
Edzer 和 Roger 自上世紀以來積極與開源地理空間用戶和開發者社群互動。他們撰寫並維護多個關鍵的 R 套件，用於處理和分析空間及時空數據，包括 sf、stars、s2、sp、gstat、spdep、spatialreg 和 rgrass。兩人都是 R 基金會的普通成員。
