Cleaning openstreetmap intersections in python

Introduction It has been a while since I have posted anything on Python, so I thought it is time to switch things up and write do a Python GIS tutorial. GIS in python typically revolves around the geopandas and shapely packages. If you are using OpenStreetMaps(osm) in your work, the osmnx package is also very useful and makes downloading and visualising map data straightforward. In this post, I explore the problem of simplifying route intersections. [Read More]

Mapping SG - Shiny App

While my previous posts on the Singapore census data focused mainly on the distribution of religious beliefs, there are many interesting trends that could be observed on other characteristics. I decided to pool the data which I have cleaned and processed into a Shiny app. Took a little longer than I expected but it is done. Have fun with it and hope you learn a little bit more about Singapore! [Read More]

Using Leaflet in R - Tutorial

Here’s a tutorial on using Leaflet in R. While the leaflet package supports many options, the documentation is not the clearest and I had to do a bit of googling to customise the plot to my liking. This walkthrough documents the key features of the package which I find useful in generating choropleth overlays. Compared to the simple tmap approach documented in the previous post, creating a visualisation using leaflet gives more control over the final outcome. [Read More]

Examining the Changes in Religious Beliefs - Part 2

In a previous post, I took a look at the distribution of religious beliefs in Singapore. Having compiled additional characteristics across 3 time periods (2000, 2010, 2015), I decided to write a follow-up post to examine the changes across time. The dataset that I will be using is aggregated from the 2000 and 2010 Census as well as the 2015 General Household Survey. [Read More]

Mapping the Distribution of Religious Beliefs in Singapore

Inspired by my thesis, I have been playing around with mapping tools over the past few days. While the maps showing the distribution of migrant groups across the United States did not make it to the final copy of my paper I had fun toying around with the various mapping packages. In this post, I decided to apply what I have learnt and take a look at the spatial distribution of Singapore’s population. [Read More]