{"product_id":"geographical-data-science-and-spatial-data-analysis-an-introduction-in-r-paperback-1","title":"Geographical Data Science and Spatial Data Analysis: An Introduction in R - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eLex Comber\u003c\/b\u003e (Author), \u003cb\u003eChris Brunsdon\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eWe are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-\u003cem\u003ewhere\u003c\/em\u003e - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.\u003cbr\u003e \u003cbr\u003e Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider \u003cem\u003eSpatial Data\u003c\/em\u003e (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. \u003cbr\u003e \u003cbr\u003e This is a 'learning by doing' textbook, building on the previous book by the same authors, \u003cem\u003eAn Introduction to R for Spatial Analysis and Mapping\u003c\/em\u003e. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 360\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 9.61 x 6.69 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 04, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47381329281273,"sku":"9781526449368","price":190.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/OBBmT3xDte9781526449368_2499ef32-e187-4040-8355-dba581dda94a.webp?v=1770075173","url":"https:\/\/bookscloud.io\/products\/geographical-data-science-and-spatial-data-analysis-an-introduction-in-r-paperback-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}