ISSS626-Geospatial Analytics and Applications Homepage

Hello there I am Zi Jun. Welcome to my ISSS626 Geospatial Analytics and Applications webpage. In this website, you will find my coursework prepared for this course under the tutelage of Assoc. Professor Kam Tin Seong

Here is the webpage link for my Visual Analytics and Application course

A Feature of My Latest Works:

Preparing HDB data

st_buffer() of sf package is used to create a buffer of 1km around each eldercare feature.

Dr. Kam Tin Seong

Preparing HDB data

pacman::p_load(tidyverse, sf, httr, jsonlite, rvest)

resale <- read_csv("data/HDB/rawdata/resale.csv") %>%
  filter(month >= …

Dr. Kam Tin Seong

Hands-on Exercise 10a: Processing and Visualising Flow Data

Spatial interaction describes the movement of people, materials, or information between geographical locations. It includes a…

Hands-on Exercise 10b: Calibrating Spatial Interaction Models with R

Spatial Interaction Models (SIMs), developed by Alan Wilson in the late 1960s and early 1970s, are mathematical models designed…

Modelling Geographic of Accessibility

Issue on accessibility of MRT transportation and utilisation (over/under). Education sector - combining of JCs Fast food chains…

Hands-on Exercise 9: Modelling Geographical Accessibility

This exercise provides practical experience in modeling geographical accessibility using R’s geospatial analysis packages.

Hands-on Exercise 8: Geographically Weighted Predictive Modelling

Predictive modelling employs statistical learning or machine learning techniques to forecast outcomes, often targeting future…

Take-home Exercise 3b: Predicting HDB Resale Prices with Geographically Weighted Machine Learning Methods

For take-home exercise 3, it consists of 2 options: Take-home Exercise 3a: Modelling Geography of Financial Inclusion with…

In-class Exercise 7: Geographically Weighted Regression (GWR)

Geographically weighted regression (GWR) is a spatial statistical technique that takes non-stationary variables into…

Hands-on Exercise 7: Geographically Weighted Regression (GWR)

Geographically weighted regression (GWR) is a spatial statistical technique that takes non-stationary variables into…

In-class Exercise 6

Emerging Hot Spot Analysis (EHSA) is a spatio-temporal analysis method for revealing and describing how hot spot and cold spot…

Take-home Exercise 2: Geospatial Analytics in Thailand Tourism Sector (Pre, During, Post COVID-19)

Tourism plays a significant role in Thailand’s economy, contributing about 20% of the country’s GDP. In 2019, Thailand generated…

Hands-on Exercise 6: Geographic Segmentation with Spatially Constrained Cluster Analysis

In this hands-on exercise, the outcome is to gain hands-on experience on how to delineate homogeneous region by using…

In-class Exercise 5: Global and Local Measures of Spatial Autocorrelation

The code chunk below is used to perform the following tasks:

Hands-on Exercise 5a: Spatial Weights and Applications

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

Hands-on Exercise 5b: Local Measures of Spatial Autocorrelation

Local Measures of Spatial Autocorrelation (LMSA) evaluate the spatial relationships of each individual observation with its…

In-class Exercise 4

Hands-on Exercise 4: Spatial Weights and Applications

In this hands-on exercise, it will run through the process of computing spatial weights using R. By the end to this hands-on…

In-class Exercise 3

The code chunk below uses st_read() of sf package to import Punggol_St and Punggol_CC geospatial data sets into RStudio as sf…

Take-home Exercise 1: Geospatial Analytics for Public Good

According to the World Health Organization (WHO), road traffic accidents claim the lives of around 1.19 million people annually…

Hands-on Exercise 3: Network Constrained Spatial Point Patterns Analysis

Network constrained Spatial Point Patterns Analysis (NetSPAA) is a collection of spatial point patterns analysis methods…

In-class Exercise 2

maptools is already retired and binary is removed from CRAN. However, we can download it from Posit Public Package Manager snapsh…

Hands-on Exercise 2b: 2nd 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…

Hands-on Exercise 2a: 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…

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