IS415 blog
Take-home Exercise 3
In this take-home exercise, I will build hedonic pricing models to explain factors affecting the resale prices of public housing in Singapore. The hedonic price models will be built by using appropriate GWR methods.
Hands-on Exercise 11
In this hands-on exercise, I learn how to model geographical accessibility using R Packages.
Hands-on Exercise 10
In this hands on exercise, I learn how to calibrate spatial interaction models by using GLM() of Base R.
Hands-on Exercise 9
In this hands on exercise, I learn how to calibrate geographically weighted regression models by using GWmodel package of R.
In-class Exercise 8
In this in-class exercise, I will learn how to perform geographical segmentation by using appropriate R packages. I will also use approriate R packages for performing cluster analysis and visualising clustering results.A short description of the post. This exercise is based on hands on exercise 8 but contains additional notes taken during class.
Hands-on Exercise 8
In this hands-on exercise, I will learn how to perform geographical segmentation by using appropriate R packages. I will also use approriate R packages for performing cluster analysis and visualising clustering results.
Take-home Exercise 2
This take home exercise aims to investigate the distribution of Airbnb listings and how location factors affect it as well as the impact of COVID-19 pandemic on Airbnb business.
Hands-on Exercise 5b
In this hands-on exercise, I will gain hands-on experience on using appropriate R functions to analyse marks spatial point events.
Hands-on Exercise 7
In this hands on exercise, I learn how to compute Global and Local Measure of Spatial Autocorrelation (GLSA) by using spdep package.
In-class Exercise 6
In this in class exercise, I learn how to derive spatial weights by using functions provided by spdep package and how to apply these spatial weights to compute spatially lagged values. This is based on Hands On Exercise 6, with additional chunks of codes and explanations.
Hands-on Exercise 6
In this hands on exercise, I learn how to derive spatial weights by using functions provided by spdep package and how to apply these spatial weights to compute spatially lagged values.
In-class Exercise 5
In this exercise, I learn how to perform spatial point patterns analysis using spatstat package.
Hands-on Exercise 5
In this hands-on experience, I will learn how to use spNetwork package to derive network constrained kernel density estimation (NetKDE), and perform network G-function and k-function analysis.
Take-home Exercise 1
This exercise provides an in-depth Geospatial Analysis of the cumulative COVID-19 confirmed cases and death rates in its sub-districts (keluruhan) using appropriate thematic and analytics mapping techniques and R functions.
In-class Exercise 4
In this in class exercise, I gain a deeper understanding on the different functions to perform spatial point patterns analysis.
Hands-on Exercise 4
In this hands on exercise, I learn how to perform spatial point patterns analysis using spatstat package.
In-class Exercise 3
In this in-class exercise, I learn about analytical mapping.
Hands-on Exercise 3
In this hands-on exercise, I learn how to plot functional and truthful choropleth maps by using an R package called tmap package.
Hands-on Exercise 2
In this hands-on exercise, I learn how to handle geospatial data in R by using sf package and performing data science tasks using tidyverse package.
In-class Exercise 2
In this hands-on exercise, I learn how to handle geospatial data in R by using sf package.
Welcome to IS415 blog
Welcome to our new blog, IS415 blog. We hope you enjoy reading what we have to say!