DTC Module: Statistics, Data Science and AI

Lecturer **Tin Hang (Henry) Hung 洪天恒** Croucher Fellow in Biology, Department of Biology ****Lecturer in Biology, St Hilda’s College Helen Zhang Research Associate in Biology, Jesus College [email protected]

By the end of this section, you should be able to:

• Understand when simple regression fails and spatial analysis is necessary
• Handle and visualise different kind of spatial data with sf and terra in R
• Perform a number of spatial analyses including spatial regression, spatial interpolation, and spatial point process

📒 Lectures

1. Why spatial models?

2. Areal data

3. Geostatistical data

4. Spatial point process

5. R for spatial analysis

💻 Practicals

1. My first map

2. Spatial autocorrelation

3. Spatial interpolation

4. Species distribution modelling

5. My mini-project

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This is a new topic offered by Statistics, Data Science and AI. There might be errors and bugs even after checks and validation. I am grateful for your understanding and will appreciate any feedback that will improve these materials for the future.

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