INTERNATIONAL POPULATION STATISTICS COOPERATION PROJECT

About us
Summer Seminar
- Introduction
- The 13th Seminar
- Previous Seminars
  - The 12th
  - The 11th
  - The 10th
  - The 9th
  - The 8th
  - The 7th
  - The 6th
  - The 5th
  - The 4th
  - The 3rd
  - The 2nd
  - The 1st
- Best Essay Contest
Previous Projects
- Joint Project
  - 2019
  - 2018
  - 2017
  - 2016
  - 2015
- Infographics

Analysis of Demographic Data with GIS

Dates : July 6 (Mon) – July 10 (Fri), 2026 | 25-hour course

Venue : Data and Statistics Human Resources Development Institute (Seo-gu, Daejeon)

Lecturer

Seong-Yun Hong, Ph.D.
(Professor, Department of Geography, Kyung Hee University)

Introduction

In this workshop, participants will develop practical skills for handling spatial data using various open-source software, including QGIS, GeoDa, and R. The workshop covers a range of topics, from simple choropleth mapping for visualising population data to the use of local G statistics to identify hot spots. No prior experience with the software is required, though some background in statistics would be beneficial.

Participants Requirements

Basic knowledge of data analysis
Experience with QGIS and R
Laptop with the latest version of QGIS, R, and R Studio installed

Key Features

Understanding Spatial Data
Exploratory Spatial Data Analysis using QGIS and R
Hot Spot Analysis using GeoDa and R

Sessions

Session 1 (Mon): Introduction to spatial data and GIS
Session 2 (Tue): Mapping population data
Session 3 (Wed): Concept of spatial autocorrelation
Session 4 (Thu): Hot spot analysis using GeoDa and R
Session 5 (Fri): Measuring population segregation

Comments from Previous Participants

While many courses tend to focus only on theory, I was grateful for the chance to learn R in such a rigorous and practical manner. Programs like this are hard to find in Korean education unless you pay a premium. It was a genuinely worthwhile experience.

< Population Division / Government Officer >

The Summer Seminar stands out for its structured combination of theory and practical training using tools like R, which is especially useful for participants from developing countries. The presence of international experts and cross-country discussions also enrich the learning experience.