Land Use and Land Cover (LULC)

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Global Development Potential Indices, v1 (2016)

Purpose:
To provide spatially-explicit data that relatively rank global land suitability referred to as Development Potential Indices (DPIs) for 13 sectors related to renewable energy, fossil fuels, mining and agriculture as an aid to conservation priority setting.
Abstract:
The Global Development Potential Indices (DPIs) data set contains thirteen sector-level DPIs for sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). The DPI for each sector represents land suitability that accounts for both resource potential and development feasibility. Each DPI is a 1-km spatially-explicit, global land suitability map that has been validated using locations of current and planned development, and examined for uncertainty and sensitivity. The DPIs can be used to identify lands with current favorable economic and physical conditions for individual sector expansion and assist in planning for sector and cumulative development across the globe.
Recommended Citation(s)*:

Oakleaf, J. R., C. M. Kennedy, S. Baruch-Mordo, J. S. Gerber, P. C. West, J. A. Johnson, and J. Kiesecker. 2020. Global Development Potential Indices. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/k9t6-gh59. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

Oakleaf, J. R., C. M. Kennedy, S. Baruch-Mordo, J. S. Gerber, P. C. West, J. A. Johnson, and J. Kiesecker. 2019. Mapping Global Development Potential for Renewable Energy, Fossil Fuels, Mining and Agriculture Sectors. Scientific Data 6 (101): 1-17. https://doi.org/10.1038/s41597-019-0084-8.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

Available Formats:
raster, map, map service