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Welcome to IS415 Geospatial Analytics and Applications. In this website, you will find my coursework prepared for this course.

Hands-On Exercise 11: Geographically Weighted Predictive Models

Predictive modelling uses statistical learning or machine learning techniques to predict outcomes. By and large, the event one wants to predict is in the future. However, a…

Hands-On Exercise 10: 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;…

Hands-On Exercise 9: Geographical Segmentation with Spatially Constrained Clustering Techniques Part 2

In this hands-on exercise, you will gain hands-on experience on how to delineate homogeneous region by using geographically referenced multivariate data. There are two major…

Hands-On Exercise 8: Geographical Segmentation with Spatially Constrained Clustering Techniques

In this hands-on exercise, you will gain hands-on experience on how to delineate homogeneous region by using geographically referenced multivariate data. There are two major…

Hands-On Exercise 6: Global & Local Measures of Spatial Autocorrelation

In this hands-on exercise, we will learn how to compute Global Measures of Spatial Autocorrelation (GMSA) by using spdep package. By the end to this hands-on exercise, we…

Hands On Exercise 5: Spatial Weights and Applications

In this hands-on exercise, I will be computing spatial weights using R. By the end to this hands-on exercise, we would have been able to:

Hands On Exercise 4: Spatio-Temporal Point Patterns Analysis

A spatio-temporal point process (also called space-time or spatial-temporal point process) is a random collection of points, where each point represents the time and…

Hands-On Exercise 3: 1st Order Spatial Point Patterns Analysis Methods

Spatial Point Pattern Analysis is the evaluation of the pattern or distribution, of a set of points on a surface. The point can be location of:

Hands-On Exercise 2: Thematic Mapping and GeoVisualisation with R

The main focus of the topic for these hands-on exercises are thematic/choropleth mapping and other geospatial visualization techniques.

Hands-On Exercise 1: Geospatial Data Science with R

In this exercise, I learn to handle geospatial data files and some basic data science tasks with sf.