Welcome

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

Geospatial Data Science with R

In this hands-on exercise, I learnt of how to perform geospatial data science tasks in R by using the sf package.

Thematic Mapping and GeoVisualisation with R

In this hands-on exercise, I learn how to create effective and accurate thematic/choropleth maps and other geospatial visualization techniques using the tmap package in R.

1st & 2nd Order Spatial Point Patterns Analysis Methods

In this hands-on exercise, I learn how to to analyze spatial point patterns in R. On top of that I learn to apply first- and second-order analyses to assess the randomness…

Spatial Weights and Applications

In this hands-on exercise, you’ll learn how to analyze spatial data in R by performing a series of tasks. You’ll start by importing geospatial data using the sf package and…

Global and Local Measures of Spatial Autocorrelation

In this hands-on exercise will teach you how to compute both Global and Local Measures of Spatial Autocorrelation (GMSA & LMSA) using the spdep package in R. By the end of…

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…

Spatially Constrained Cluster Analysis

In this section, you will learn how to derive spatially constrained cluster by using skater() method of spdep package.

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;…

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…