Geospatial Data of Energy Resources

Dear Colleagues,

The distribution of energy resources is related to geospatial characteristics such as geographic location and surrounding topography. Renewable energy resources such as solar energy and wind power vary in values depending on their location and altitude. Moreover, geospatial data analysis is required to solve problems such as interpolation, potential estimation, and optimal location analysis of renewable energy. It is also used when designing an optimal pipeline network for oil and gas transportation or when evaluating risk in mining areas. Thus, geospatial data play a vital role in energy resource research by providing the means of looking at the world and tools for solving complex spatial problems. We can see that many global organizations and national data centers collect, analyze, visualize, and manage various geospatial data for energy resources research. This Special Issue (SI) aims to encourage researchers to address the geospatial and numeric data of energy resources research. This SI will cover a broad spectrum of original research contributions and reviews on all areas of energy resources, including (but not limited to):

• Geospatial data in renewable energy;
• Geospatial data in mining;
• Geospatial data in oil and gas;
• Geospatial data in utilities.

Dr. Jangwon Suh
Guest Editor

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