Geographic data science with Python
著者
書誌事項
Geographic data science with Python
（A Chapman & Hall book）（Texts in statistical science）
CRC Press, 2023
1st ed
- : pbk
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注記
Includes bibliographical references (p. 367-376) and index
内容説明・目次
内容説明
Showcases the excellent data science environment in Python.
Provides examples for readers to replicate, adapt, extend, and improve.
Covers the crucial knowledge needed by geographic data scientist.
目次
Part 1. Building Blocks 1. Geographic thinking for data scientists 2. Computational Tools for Geographic Data Science 3. Spatial Data 4. Spatial Weights Part 2. Spatial Data Analysis 5. Choropleth Mapping 6. Global Spatial Autocorrelation 7. Local Spatial Autocorrelation 8. Point Pattern Analysis Part 3. Advanced Topics 9. Spatial Inequality Dynamics 10. Clustering & Regionalization 11. Spatial Regression 12. Spatial Feature Engineering
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