projects

This project analyzes urban heat patterns in Chicago using satellite-derived land surface temperature data. The study compares temperature variations with environmental and socio-spatial factors such as impervious surfaces and historical redlining patterns. The goal is to understand how urban structure influences heat distribution and environmental inequality.

Key Findings:

Areas with high impervious surfaces show higher temperatures
Historically redlined neighborhoods tend to experience higher heat exposure
Urban structure significantly influences thermal distribution

This project presents a thematic map of Austria, a landlocked country in Central Europe, using geospatial data to visualize physical and human geographic features. The map integrates elevation, transportation networks, and administrative boundaries to provide a comprehensive spatial overview of the country.

Austria Thematic Mapping Project

This project evaluates flood risk in Houston, Texas using spatial analysis techniques. Multiple environmental factors, including elevation, slope, and distance to water bodies, were analyzed and combined using a weighted overlay model to identify areas with varying levels of flood risk. The objective is to support urban planning and disaster mitigation efforts through geospatial decision-making.

Flood Risk Assessment – Houston, Texas

🛠️ Tools & Techniques

ArcGIS Pro
Raster Analysis
Weighted Overlay
Reclassification
Euclidean Distance
Spatial Modeling

Key Findings

Low-lying areas with gentle slopes are more vulnerable to flooding
Proximity to rivers and drainage networks increases flood risk
Weighted overlay analysis effectively identifies high-risk zones for planning and mitigation

This analysis demonstrates the application of multi-criteria decision analysis (MCDA) in GIS for real-world environmental risk assessment.

School Site Selection – Crawford County, Illinois

This project identifies suitable locations for a new school in Crawford County, Illinois using GIS-based site selection techniques. Multiple criteria, including proximity to roads, distance from existing schools, land use, and environmental constraints, were analyzed to determine optimal locations. The analysis supports data-driven decision-making in educational planning.

Tools & Techniques

ArcGIS Pro
Buffer Analysis
Overlay Analysis
Suitability Modeling
Spatial Query

Key Findings

Suitable sites are located near major roads for accessibility
Areas far from existing schools provide better service coverage
Environmentally constrained zones were excluded from selection
GIS-based analysis improves efficiency in site planning

This project demonstrates the use of GIS for multi-criteria suitability analysis in infrastructure planning.

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