書誌事項
- タイトル
- "Applied spatial statistics and econometrics : data analysis in R"
- 責任表示
- Katarzyna Kopczewska
- 出版者
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- Routledge
- 出版年月
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- 2021
- 書籍サイズ
- 28cm
この図書・雑誌をさがす
注記
Includes bibliographical references (p. 561-576) and indexx
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"-- Provided by publisher
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詳細情報 詳細情報について
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- CRID
- 1130287121595683501
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- NII書誌ID
- BC05126106
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- ISBN
- 9780367470760
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- LCCN
- 2020006869
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- Web Site
- https://lccn.loc.gov/2020006869
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- 本文言語コード
- en
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- 出版国コード
- uk
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- タイトル言語コード
- en
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- 出版地
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- Abingdon
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- 件名
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- LCSH: Spatial analysis (Statistics)
- LCSH: Econometrics
- LCSH: R (Computer program language)
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- データソース種別
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- CiNii Books