Name: Mapping Brunei: An Introduction to Spatial Data Analysis with {bruneimap} in R
Start: 2025-02-28T14:30:00+08:00
End: 2025-02-28T16:00:00+08:00
Location: Ruang Bicara Minda, University Library

**UPDATE: Change of speaker!**

Join us for an engaging 1.5-hour session (2:30–4:00 PM) where we’ll delve into the {bruneimap} package, a powerful tool for spatial data analysis in R. This meetup is designed to introduce you to the fundamentals of spatial data handling and visualization, specifically tailored to Brunei’s geographic context.

**Agenda:**

1. **Introduction to Spatial Data in R:**
• Overview of spatial data types: points, lines, and polygons.
• Utilizing the sf package for effective spatial data manipulation.
2. **Exploring the {bruneimap} Package:**
• Accessing area-level data at kampong, mukim, and district levels.
• Visualizing census data included within the package.
• Understanding the importance of standardized “kampong” names for seamless data integration and visualization.
3. **Practical Applications:**
• Importing other spatial data from OpenStreetMap, including amenities location and road networks.
• Mapping point data, such as the locations of masjids and schools across Brunei.

**What to Bring:**
• A laptop with R and RStudio installed.
• Pre-installed packages: sf, bruneimap, and tidyverse.

**Session Format:**

The session will combine informative slides with live demonstrations. Attendees are encouraged to follow along on their laptops to gain hands-on experience. The presentation and demos will last approximately 1 hour, followed by a 20–30 minute Q&A segment. This is an excellent opportunity to network and connect with fellow R enthusiasts interested in spatial data analysis.

We look forward to seeing you there and exploring the capabilities of {bruneimap} together!

Haziq Jamil

Wafid Sophian

alvin bong

Rabiah

Aribah Azhan

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Alvin is a current student at Universiti Brunei Darussalam (UBD), pursuing
BSc in Mathematics. His interests lie in bridging mathematical theory with
practical applications, particularly in linear algebra, statistical data
analysis, and mathematical modeling.

His recent project, Spatial Autocorelation of Schools, supervised by Prof.
Haziq Jamil, explored the distributions of schools in Brunei using R
programming language.

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Mapping Brunei: An Introduction to Spatial Data Analysis with {bruneimap} in R

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