My name is Chinazor S. Azubike and I am a fourth-year Ph.D. candidate in the Applied Science and Technology Program at North Carolina A & T State University, concentrating in Energy and Environmental Systems and Economics. 

I am a Chancellor’s Distinguished Scholar and the president of the Graduate Student Advisory Council.

My current doctoral research involves assessing and evaluating the importance of various Geographic Information System (GIS) data themes or attributes and facets of GIS database development in support of change-detection analysis. 

I became interested in GIS after completing my master’s degree in Earth and Geospatial Science at North Carolina Central University and interning at the Department of Energy’s Office of Energy Policy and System’s Analysis, where I led two major projects. I developed a solar census using ArcGIS to highlight the demographics and distribution of photovoltaic systems across the US. I also used remote sensing data to analyze the regional variation of coal plant CO2 emissions and population distribution in the U.S.

When I’m not busy working on my research, I enjoy traveling for work and leisure, binge-watching documentaries, and reading short stories.

Courtesy: Chinazor S. Azubike

5 Facts about GIS and Change-Detection Analysis

  • GIS is a computer system that captures, stores, checks, and displays information related to positions on Earth’s surface.
  • GIS data can be separated into two categories: raster and vector data.
  • Vector data is split into three types: polygon (lakes, forests), line (rivers, trails, streets) and point (schools, points of interest) data.
  • Raster data represents surfaces and is split into two types, continuous (temperature) and discrete (population density).
  • Change-detection is the process that measures how the attributes of a particular area have changed between two or more time periods.

Connect with Chinazor on LinkedIn.

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