We 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-<em>where</em> – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.<br/><br/>Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider <em>Spatial Data</em> (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. <br/><br/>This is a ‘learning by doing’ textbook, building on the previous book by the same authors, <em>An Introduction to R for Spatial Analysis and Mapping</em>. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
Pris: kr 1599.00 fra Norli
Butikk | Pris | |
---|---|---|
kr 1599.00 | Besøk butikk |
<p>This is a new edition of <em>the</em> accessible and student-friendly ''how to'' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping....
kr 559.00
Mer informasjon
Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with...
kr 439.00
Mer informasjon
<p><i>Statistics Analysis of Geographical Data: An Introduction</i> provides a comprehensive and accessible introduction to the theory and practice of statistical analysis in geography. It covers a wide range of topics including graphical...
kr 449.00
Mer informasjon
<p>Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. <b>Spatial Statistics for Data Science: Theory and Practice with R </b>describes...
kr 1019.00
Mer informasjon