{"product_id":"spatial-data-science-edzer-pebesma-9781138311183","title":"Spatial Data Science: With Applications in R","description":"\u003cp\u003e\u003cem\u003eSpatial Data Science\u003c\/em\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eThe 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. It also shows how geometrical operations change when going from a flat space to the surface of a sphere, which is what \u003cb\u003esf\u003c\/b\u003e and \u003cb\u003estars\u003c\/b\u003e 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\/.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Edzer Pebesma, Roger Bivand\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1138311189\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781138311183\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/10\/2023\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 300\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.36lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.75d\u003c\/p\u003e","brand":"Edzer Pebesma","offers":[{"title":"Hardcover","offer_id":44130183938303,"sku":"9781138311183","price":99.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_64662605-8f57-4aaf-9af0-4753244a1b6c.jpg?v=1687468003","url":"https:\/\/www.whiterainbookhouse.com\/products\/spatial-data-science-edzer-pebesma-9781138311183","provider":"WR Book House","version":"1.0","type":"link"}