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商品描述
Spatial Data Science is a book for data scientists with intermediate R knowledge. 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.
商品描述(中文翻譯)
《空間數據科學》是一本針對具備中級 R 知識的數據科學家的書籍。這本書詳細解釋了 R 的核心空間軟體套件：sf 用於簡單特徵存取，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陣列數據。
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 基金會的普通會員。
