Geospatial Energy Mapper (GEM)

A comprehensive online mapping tool that helps to identify areas that are suitable for power generation and other energy-related projects

Illustration showing a variety of energy types

GEM provides mapping data and analysis tools for planning energy infrastructure in a geographic context

GEM is an interactive web-based decision support system that allows users to locate areas with high suitability for power generation and potential energy transmission corridors in the United States. Explore energy data on the map, browse and download data layers, generate dynamic reports on a variety of topics, or create a custom suitability model to identify areas for energy development.

GEM screenshot on an illustration of a computer

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Videos

See our YouTube Channel for an archive of GEM webinars and training videos.

News

Alaska, Hawaii, and Puerto Rico Regions Released
2026-05-31
GEM now has an option for CONUS, Alaska, Hawaii, or Puerto Rico views, each with focused themes, mapping libraries, and suitability modeling. Use the r ...

Layer Catalog

GEM offers an extensive catalog of mapping data for energy planning, including energy resources and infrastructure, and other information that may influence siting of energy infrastructure.

Reporting

Reports on a wide variety of topics can be generated for user-specified areas.

Modeling

Interactive, flexible suitability models help identify areas meeting a set of technology-specific siting criteria.

Mapping Themes

Themes are a convenient way to quickly load multiple layers related to a particular technology or resource without having to manually browse and add layers to the map.

Corridor Generation

Potential routes for transmission or pipeline corridors can be generated using modeling, sketched on the map, or loaded from files.

About the Project

Geospatial Energy Mapper (GEM) is a next-generation modeling tool built on the core data and capabilities of the Energy Zones Mapping Tool (EZMT). GEM features an improved user interface, updated data, and additional capabilities. Argonne National Laboratory hosts the tool with funding from the U.S. Department of Energy (DOE) Office of Electricity.

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