Geospatial Analytics and Applications

Welcome to my IS415 Geospatial Analytics and Applications website! This website documents my weekly learning, progress and notes. I hope this will be as useful to you as it was to me!

In-Class Exercise 11: Spatial Interaction Models

In-class Exercise

Spatial Interaction Models

Hands-On Exercise 11: Calibrating Spatial Interaction Models with R

Hands-On Exercise

Calibrating Spatial Interaction Models with R

In-Class Exercise 10: Modelling Geographic Accessibility

In-class Exercise

Modelling Geographic Accessibility

Hands-On Exercise 10: Modelling Geographical Accessibility

Hands-On Exercise

Modelling Geographical Accessibility

In-Class Exercise 9: Geographically Weighted Predictive Modelling

In-class Exercise

Geographically Weighted Predictive Modelling

Hands-On Exercise 9: Geographically Weighted Predictive Models

Hands-On Exercise

Geographically Weighted Predictive Models

Take-Home Exercise 3

Take-Home Exercise

Take-Home Exercise 3

Hands-On Exercise 8: Geographically Weighted Regression

Hands-On Exercise

Calibrating Hedonic Pricing Model for Private Highrise Property with GWR Method

In-Class Exercise 8: Geographically Weighted Regression

In-class Exercise

In-class exercise 8

In-Class Exercise 7:

In-class Exercise

In-class exercise 7

Hands-On Exercise 7: Geographical Segmentation with Spatially Constrained Clustering Techniques

Hands-On Exercise

Geographical Segmentation with Spatially Constrained Clustering Techniques

Take-Home Exercise 2

Take-Home Exercise

Take-Home Exercise 2

In-Class Exercise 5 & 6: Global and Local Measures of Spatial Autocorrelation

In-class Exercise

In-class exercise 5 & 6

In-Class Exercise 6:

In-class Exercise

In-class exercise 6

Hands-On Exercise 5 & 6: Global and Local Measures of Spatial Autocorrelation

Hands-On Exercise

Global and Local Measures of Spatial Autocorrelation

In-Class Exercise 4: Spatial Weights and Applications

In-class Exercise

In-class exercise 4

Hands-On Exercise 4: Spatial Weights and Applications

Hands-On Exercise

Computing spatial weights with R

In-Class Exercise 3: Kernel Density Estimation

In-class Exercise

In-class exercise 3

In-Class Exercise 3.1: Kernel Density Estimation

In-class Exercise

In-class exercise 3.1

Take-Home Exercise 1

Take-Home Exercise

Take-Home Exercise 1

Hands-On Exercise 3: 1st & 2nd Order Spatial Point Patterns Analysis Methods

Hands-On Exercise

sf

tmap

spatstat

raster

maptools

Exploring spatial point patterns and methods to identify and analyse these patterns. First-order methods include kernel density estimation and bandwidth selection methods while second-order methods include F, G, K and L functions.

In-Class Exercise 2

In-class Exercise

In-class exercise 2 description

Hands-On Exercise 2: GeoVisualisation and Analytical Mapping

Hands-On Exercise

tidyverse

sf

tmap

I’m going to learn how to plot meaningfully annotated maps called choropleth maps.

Hands-On Exercise 1: Geospatial Data Science with R

Hands-On Exercise

tidyverse

sf

ggplot2

This is my first go at R programming. I tried out pacman, sf, tidyverse and ggplot2. I’m going to be using ggplot2 more, it makes really cool graphics.

About me

Others

“I’m Matthew Ho, a Y3 CS student in the Cyberphysical Systems track. I hope to learn about geospatial analytics and apply this to distributed IoT systems.”