To provide a cumulative measure of human modification of terrestrial lands based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially-explicit global data sets.

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.

To provide a future development threat map based on combining these resources: agricultural expansion, urban expansion, conventional oil and gas, unconventional oil and gas, coal, mining, biofuels, solar, and wind.

To assess likely future areas of urban expansion up to the year 2030.

To provide data that can be used in global mangrove forest distribution modeling, land cover change analysis, global carbon accounting studies and to assist with policy-making in regards to human-environment interactions and future adaptive strategies.

To identify remaining natural vegetation types in Central America.