Megan's IS415 Journey
Hands-On Exercise 11
Today's Adventure: Modelling Geographical Accessibility! Our goal is to compute and viusalise accessibility measures with Hansen's potential model and Spatial Accessibility Measure (SAM) 👍
Take-Home Exercise 3: Hedonic Pricing Models for Resale Prices of Public Housing in Singapore
This analysis aims to investigate and explain the factors affecting resale prices of public housing in Singapore through appropriate hedonic pricing models.
Hands-On Exercise 10
Today's Adventure: Calibrating Spatial Interaction Models using Generalised Linear Models (GLM) ❤️
Hands-On Exercise 9
Today's Adventure: Calibrating geographically weighted regression models! Our goal is to build a hedonic pricing model with the GWmodel 😄
Hands-On Exercise 8 + In-Class Exercise 8
Today's Adventure: Geographical Segmentation with Spatially Constrained Clustering Techniques! We'll learn how to perform both geographical segmentation and cluster analysis - as well as to visusalise those results 💪
Hands-On Exercise 7
Today's Adventure: Global and Local Measures of Spatial Autocorrelation! We'll learn how to compute Global Spatial Autocorrelation (GSA) and Local Indicator of Spatial Association (LISA) statistics, as well as detect hot spot and/or cold spots with the spdep package 💡
Hands-On Exercise 5B
Today's Adventure: Marked Point Pattern Analysis! This is supplementary material to Hands-On Ex 5A - we'll learn how to perform first-order and second-order MPPA, as well as CSR-testing 💮
Take-Home Exercise 2: Spatial Point Patterns Analysis of Airbnb Listings in Singapore
This analysis aims to investigate the distribution of Airbnb listings and how location factors affect it.
Hands-On Exercise 6 + In-Class Exercise 6
Today's Adventure: Spatial Weights and Applications! With the spdep package, let's learn how to derive and apply spatial weights to compute geographically referenced attributes 😄
In-Class Exercise 5
Today's in-class exercise will bring us through a step-by-step of data preparation + wrangling - and then we'll be testing out our newly-obtained NetSPPA skills 😄
Hands-On Exercise 5A
Today's Adventure: Network Constrained Spatial Point Patterns Analysis (NetSPPA)! With the spNetwork package, let's learn how to prepare our data for NetSPPA, perform and visualise NetKDE, and even perform a CSR test ✨
Take-Home Exercise 1: Analysing and Visualising Spatio-temporal Patterns of COVID-19 in DKI Jakarta, Indonesia
This analysis aims to visualise and understand the spatio-temporal patterns of COVID-19 cases in DKI Jakarta and its sub-districts.
In-Class Exercise 4
Today's in-class exercise will bring us through a step-by-step of data preparation + wrangling, as well as letting us test out the different functions we're learned for analysis so far ❤️
Hands-On Exercise 4
Today's Adventure: Spatial Point Patterns Analysis! With the spatstat package, let's discover the spatial point processes and learn how to perform spatial point patterns analysis 😄
Hands-On Exercise 3
Today's Adventure: Thematic & Analytical Mapping! With the tmap package, let's learn how to plot functional and truthful choropleth maps 💪
In-Class Exercise 03
The topic of today's in-class exercise is analytical mapping! We'll learn about the different type of maps and how to create functions that'll help us with the analysis 😄
Hands-On Exercise 02
Today's Adventure: Geospatial Data Wrangling with R! Using the sf package, let's learn the ropes of handling geospatial data in R: from importing to projection, we've got you covered 💪 You might even learn a geoprocessing tip or two 😄
In-Class Exercise 02
This is a dummy blog post for testing out the various ins and outs of a Distill blog. In this in-class exercise, I learned how to handle geospatial data in R by using the sf package.