Applied spatial statistics and econometrics : data analysis in R

"This textbook is a comprehensive introduction to applied spatial data analysis, using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcase key topics including unsupervised learning, cau...

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Bibliographic Details
Other Authors: Kopczewska, Katarzyna, (Editor)
Format: eBook
Language: English
Published: Milton Park, Abingdon, Oxon ; New York, NY : Routledge, [2020]
Series: Routledge advanced texts in economics and finance
Subjects:
ISBN: 9781003033219
9781000079784
9781000079760
9781000079746
9780367470777
9780367470760
Physical Description: 1 online zdroj.

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Summary: "This textbook is a comprehensive introduction to applied spatial data analysis, using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcase key topics including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github, to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data"--
ISBN: 9781003033219
9781000079784
9781000079760
9781000079746
9780367470777
9780367470760
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty