GIS Bootcamp for MUSPP students

Contributors: Li Bayi

Designed for 3*3-hour Lecture + Tutorial Contents.

Last Update: 17 May 2023

Preparation

You can sit in groups according to the GroupMembers.png in Google Shared Drive, so it will be easier to communicate and help each other

Please make sure that you have properly installed the QGIS from the official website before the bootcamp started. You can download the LTR version as it is more stable to run on your computer and compatible to more extensions normally.

Day 01

00:00 - 00:15:

Software installation troubleshooting (QGIS)

00:15 - 01:00: Introduction of GIS

• The data model in GIS: mainly attribute data model
• What is spatial data?
  • Concept
  • Entities and terms
  • Format: Raster verses Vector
  • Spatial reference

01:00 - 01:15:

Break and small Q&A

01:15 - 02:00:

• 10 mins: Introduction of spatial pattern

  spatial pattern and the process created it

• 25 mins: Introduction of spatial analysis

  • example of spatial analysis
  • common research questions related to spatial pattern investigation in urban research

• 10 mins: Basic softwares and techniques for GIS

  • Open-source and closed-source solutions

• 10 mins: Q&A

02:00 - 03:00:

Global spatial autocorrelation and how to calcute it in QGIS/GeoDa

Day 2

00:00 - 00:15:

Recap of the day 1 contents

00:15 - 00:45:

• 10 mins: Find the data

• 15 mins: Local Indicators of Spatial Association (LISA)

• 15 mins: Global verses Local Statistics

00:45 - 01:00:

Practical: Create a map with essential elements in QGIS

• 15 min: Short demonstration and hands-on practice
  • Download road network with QGIS plugin - QuickOSM

01:00 - 01:15:

Break and small Q&A

01:15 - 02:00: Integration with Remote sensing

• Introduction of remote sensing

  • Introduction
  • How could we apply remote sensing analysis in urban research?

• Common RS indexes and the calculation of them applied in urban research:

  • Normalized Difference Vegetation Index (NDVI)

  • Normalized Difference Built-up Index (NDBI)

  • Land Surface Temperature (LST)

02:00 - 02:15:

Break and small Q&A

02:15 - 03:00:

• 10 mins: Introduce some common data sources for remote sensing

• Practical (Part1: Data Collection): "The change of green cover in Singapore" spatiotemporal analysis on NDVI Longitudinal study

  • 30 min: Instruction and demonstration
  • 5 min: Q&A

Hands-on practice is required to complete after class and to be continued in next day's class.

Reminding the students to register an account on EROS Registration System (usgs.gov)

Day 03

00:00 - 00:30:

Practical (Part2 : Calculation): "The change of green cover in Singapore" spatiotemporal analysis on NDVI Longitudinal study

00:30 - 0:40

Recap of the day 1 and day 2 contents

00:30 - 01:00:

Diatance Analysis

01:00 - 01:10:

Break and small Q&A

01:10 - 01:40:

Spatial Joins and Overlay analysis

01:40 - 01:50:

Break and small Q&A

01:50 - 02:30:

Geospatial analysis and visualisation with other tools:

• 20 mins: Geocoding and address matching
• 20 mins: How to use Python scripts to power up your spatial analysis task in QGIS?
  • PyQGIS tutorial and basic demonstration

02:30 - 03:00:

• Practical: Short demonstration of using OpenStreetMap Nominatim Service to translate address into coordinates
  • 20 mins: Demonstration
  • 20 mins: Hands-on practice

03:00 - 03:30: Open discussion on career opportunities in the cross field and Q&A

Day 04

Introduction to the first map online