The Experts below are selected from a list of 1979709 Experts worldwide ranked by ideXlab platform

Joseph Kiesecker - One of the best experts on this subject based on the ideXlab platform.

  • Mapping global Development Potential for renewable energy, fossil fuels, mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, Sharon Baruch-mordo, Justin A. Johnson, James S. Gerber, Paul C West, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns.Design Type(s)data integration objective • modeling and simulation objective • population modeling objectiveMeasurement Type(s)land conversion processTechnology Type(s)digital curationFactor Type(s)sector • geographic location • material_entitySample Characteristic(s)Earth (Planet) • anthropogenic habitat • fossil fuel • cropland ecosystem • natural environment • mineral depositMachine-accessible metadata file describing the reported data (ISA-Tab format)

  • mapping global Development Potential for renewable energy fossil fuels mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, James S. Gerber, Paul C West, Sharon Baruchmordo, J Johnson, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns. Machine-accessible metadata file describing the reported data (ISA-Tab format)

James R. Oakleaf - One of the best experts on this subject based on the ideXlab platform.

  • Mapping global Development Potential for renewable energy, fossil fuels, mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, Sharon Baruch-mordo, Justin A. Johnson, James S. Gerber, Paul C West, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns.Design Type(s)data integration objective • modeling and simulation objective • population modeling objectiveMeasurement Type(s)land conversion processTechnology Type(s)digital curationFactor Type(s)sector • geographic location • material_entitySample Characteristic(s)Earth (Planet) • anthropogenic habitat • fossil fuel • cropland ecosystem • natural environment • mineral depositMachine-accessible metadata file describing the reported data (ISA-Tab format)

  • mapping global Development Potential for renewable energy fossil fuels mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, James S. Gerber, Paul C West, Sharon Baruchmordo, J Johnson, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns. Machine-accessible metadata file describing the reported data (ISA-Tab format)

Paul C West - One of the best experts on this subject based on the ideXlab platform.

  • Mapping global Development Potential for renewable energy, fossil fuels, mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, Sharon Baruch-mordo, Justin A. Johnson, James S. Gerber, Paul C West, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns.Design Type(s)data integration objective • modeling and simulation objective • population modeling objectiveMeasurement Type(s)land conversion processTechnology Type(s)digital curationFactor Type(s)sector • geographic location • material_entitySample Characteristic(s)Earth (Planet) • anthropogenic habitat • fossil fuel • cropland ecosystem • natural environment • mineral depositMachine-accessible metadata file describing the reported data (ISA-Tab format)

  • mapping global Development Potential for renewable energy fossil fuels mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, James S. Gerber, Paul C West, Sharon Baruchmordo, J Johnson, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns. Machine-accessible metadata file describing the reported data (ISA-Tab format)

James S. Gerber - One of the best experts on this subject based on the ideXlab platform.

  • Mapping global Development Potential for renewable energy, fossil fuels, mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, Sharon Baruch-mordo, Justin A. Johnson, James S. Gerber, Paul C West, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns.Design Type(s)data integration objective • modeling and simulation objective • population modeling objectiveMeasurement Type(s)land conversion processTechnology Type(s)digital curationFactor Type(s)sector • geographic location • material_entitySample Characteristic(s)Earth (Planet) • anthropogenic habitat • fossil fuel • cropland ecosystem • natural environment • mineral depositMachine-accessible metadata file describing the reported data (ISA-Tab format)

  • mapping global Development Potential for renewable energy fossil fuels mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, James S. Gerber, Paul C West, Sharon Baruchmordo, J Johnson, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns. Machine-accessible metadata file describing the reported data (ISA-Tab format)

Christina M. Kennedy - One of the best experts on this subject based on the ideXlab platform.

  • Mapping global Development Potential for renewable energy, fossil fuels, mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, Sharon Baruch-mordo, Justin A. Johnson, James S. Gerber, Paul C West, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns.Design Type(s)data integration objective • modeling and simulation objective • population modeling objectiveMeasurement Type(s)land conversion processTechnology Type(s)digital curationFactor Type(s)sector • geographic location • material_entitySample Characteristic(s)Earth (Planet) • anthropogenic habitat • fossil fuel • cropland ecosystem • natural environment • mineral depositMachine-accessible metadata file describing the reported data (ISA-Tab format)

  • mapping global Development Potential for renewable energy fossil fuels mining and agriculture sectors
    Scientific Data, 2019
    Co-Authors: James R. Oakleaf, Christina M. Kennedy, James S. Gerber, Paul C West, Sharon Baruchmordo, J Johnson, Joseph Kiesecker
    Abstract:

    Mapping suitable land for Development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic Development and the environment. Previous land suitability assessments have generally focused on a few Development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative Development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “Development Potential indices” (DPIs), for 13 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). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource Potential and Development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned Development. We illustrate how these DPIs can be used to elucidate Potential individual sector expansion and cumulative Development patterns. Machine-accessible metadata file describing the reported data (ISA-Tab format)