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Geographical Data Science and Spatial Data Analysis
ISBN-13:
9781526485441
Veröffentl:
2020
Einband:
EPUB3
Seiten:
360
Autor:
Lex Comber
Serie:
Spatial Analytics and GIS
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
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-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics.This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
Chapter 1: Introduction to Geographical Data Science and Spatial Data AnalyticsChapter 2: Data and Spatial Data in RChapter 3: A Framework for Processing Data: The Piping Syntax and dplyrChapter 4: Creating Databases and Queries in RChapter 5: EDA and Finding Structure in DataChapter 6: Modelling and Exploration of DataChapter 7: Applications of Machine Learning to Spatial DataChapter 8: Alternative Spatial Summaries and VisualisationsChapter 9: Epilogue on the Principles of Spatial Data Analytics
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