{"product_id":"spatial-data-science-with-applications-in-r-hardcover","title":"Spatial Data Science: With Applications in R - Hardcover","description":"\u003cp\u003eby \u003cb\u003eEdzer Pebesma\u003c\/b\u003e (Author), \u003cb\u003eRoger Bivand\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eSpatial Data Science\u003c\/em\u003e is a book for data scientists with intermediate R knowledge. The book gives a detailed explanation of the core spatial software packages for R: \u003cb\u003esf\u003c\/b\u003e for simple feature access, and \u003cb\u003estars\u003c\/b\u003e for raster and vector data cubes - array data with spatial and temporal dimensions.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eEdzer Pebesma\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eRoger Bivand\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003eEdzer 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 \u003cb\u003esf\u003c\/b\u003e, \u003cb\u003estars\u003c\/b\u003e, \u003cb\u003es2\u003c\/b\u003e, \u003cb\u003esp\u003c\/b\u003e, and \u003cb\u003egstat\u003c\/b\u003e, \u003cb\u003espdep\u003c\/b\u003e, \u003cb\u003espatialreg\u003c\/b\u003e and \u003cb\u003ergrass\u003c\/b\u003e. Both are ordinary members of the R foundation.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 300\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 10, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":57252068655409,"sku":"9781138311183","price":186.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0958\/3486\/5969\/files\/bBCDLToWQw9781138311183.webp?v=1793530260","url":"https:\/\/www.welibooks.com\/products\/spatial-data-science-with-applications-in-r-hardcover","provider":"Welibooks","version":"1.0","type":"link"}