• Hands-on Exercises
    • 1a Geospatial Data Wrangling
    • 1b Choropleth Mapping
    • 2a 1st Order Spatial Point Patterns Analysis Methods
    • 2b 2nd Order Spatial Point Patterns Analysis Methods
    • 3 Network Constrained Spatial Point Patterns Analysis
    • 4 Spatial Weights and Applications
    • 5a Global Measures of Spatial Autocorrelation
    • 5b Lobal Measures of Spatial Autocorrelation
    • 6 Geographical Segmentation with Spatially Constrained Clustering Techniques
    • 7 Calibrating Hedonic Pricing Model
    • 8 Geographically Weighted Predictive Models
    • 9a Processing and Visualising Flow Data
    • 9b Calibrating Spatial Interaction Models
    • 10 Modelling Geographical Accessibility
  • Take-home Exercises
    • 1 Understanding and Analysing Thailand Road Accident Data
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Hands-on Exercise 9b: Calibrating Spatial Interaction Models with R

Spatial…
Sep 8, 2024

Hands-on Exercise 9a: Processing and Visualising Flow Data

Spatial interaction represent the flow of people, material, or information between locations in geographical…
Sep 8, 2024

Take-home Exercise 1: Understanding and Analysing Thailand Road Accident Data

Road traffic injuries pose a significant public health issue in Thailand, with a high number of fatalities, injuries, and disabilities each year. These incidents have a…
Sep 5, 2024

Hands-on Exercise 8: Geographically Weighted Predictive Models

Predictive modelling utilises statistical or machine learning techniques to predict outcomes. A set of known outcomes and predictors are used to calibrate predictive models.
Aug 31, 2024

Hands-on Exercise 7: Calibrating Hedonic Pricing Model for Private Highrise Property with GWR Method

Geographically weighted regression (GWR) is a spatial statistical technique that takes non-stationary variables into consideration (e.g., climate; demographic factors;…
Aug 29, 2024
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