The Experts below are selected from a list of 39081 Experts worldwide ranked by ideXlab platform
Stephen J. Walsh - One of the best experts on this subject based on the ideXlab platform.
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Using stylized agent-based models for population–Environment Research: a case study from the Galápagos Islands
Population and Environment, 2010Co-Authors: Brian W. Miller, Ian Breckheimer, Liza Guzmán-ramirez, Susan C. Caplow, Jessica C. Jones-smith, Amy L. Mccleary, Stephen J. WalshAbstract:Agent-based models (ABMs) are powerful tools for population–Environment Research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use/Land Cover dynamics and livelihood decisions on Isabela Island in the Galápagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galápagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews and represents the primary livelihoods of the population in the Galápagos Islands—tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of Research, as platforms for (1) sharpening conceptualizations of population–Environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.
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Using stylized agent-based models for population-Environment Research: a case study from the Galapagos Islands
Population and Environment, 2010Co-Authors: Brian W. Miller, Ian Breckheimer, Liza Guzmán-ramirez, Susan C. Caplow, Jessica C. Jones-smith, Amy L. Mccleary, Stephen J. WalshAbstract:Agent-based models (ABMs) are powerful tools for population–Environment Research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use/Land Cover dynamics and livelihood decisions on Isabela Island in the Galapagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galapagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews and represents the primary livelihoods of the population in the Galapagos Islands—tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of Research, as platforms for (1) sharpening conceptualizations of population–Environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.
Brian W. Miller - One of the best experts on this subject based on the ideXlab platform.
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Using stylized agent-based models for population–Environment Research: a case study from the Galápagos Islands
Population and Environment, 2010Co-Authors: Brian W. Miller, Ian Breckheimer, Liza Guzmán-ramirez, Susan C. Caplow, Jessica C. Jones-smith, Amy L. Mccleary, Stephen J. WalshAbstract:Agent-based models (ABMs) are powerful tools for population–Environment Research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use/Land Cover dynamics and livelihood decisions on Isabela Island in the Galápagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galápagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews and represents the primary livelihoods of the population in the Galápagos Islands—tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of Research, as platforms for (1) sharpening conceptualizations of population–Environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.
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Using stylized agent-based models for population-Environment Research: a case study from the Galapagos Islands
Population and Environment, 2010Co-Authors: Brian W. Miller, Ian Breckheimer, Liza Guzmán-ramirez, Susan C. Caplow, Jessica C. Jones-smith, Amy L. Mccleary, Stephen J. WalshAbstract:Agent-based models (ABMs) are powerful tools for population–Environment Research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use/Land Cover dynamics and livelihood decisions on Isabela Island in the Galapagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galapagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews and represents the primary livelihoods of the population in the Galapagos Islands—tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of Research, as platforms for (1) sharpening conceptualizations of population–Environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.
David A Hooper - One of the best experts on this subject based on the ideXlab platform.
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Minutes of the 40th Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Experimenters' Meeting
2008Co-Authors: David A HooperAbstract:Meeting date: Tuesday 22nd January 2008 Meeting location: The Cosener's House, Abingdon, UK Meeting agenda: 1) Minutes of the previous meeting 2) Matters arising 3) Site report 4) Natural Environment Research Council (NERC) instrument report 5) Guest instrument report 6) Science presentations 7) Any other business
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Minutes of the 38th Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Experimenters' Meeting
2008Co-Authors: David A HooperAbstract:Meeting date: Wednesday 24th January 2007 Meeting location: The Cosener's House, Abingdon, UK Meeting agenda: 1) Minutes of the previous meeting 2) Matters arising 3) Site report 4) Natural Environment Research Council (NERC)instrument report 5) Guest instrument report 6) Science presentations 7) Any other business
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Minutes of the 36th Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Experimenters' Meeting
2008Co-Authors: David A HooperAbstract:Meeting date: Tuesday 19th July 2005 Meeting location: The Cosener's House, Abingdon, UK Meeting agenda: 1) Minutes of the previous meeting 2) Matters arising 3) Site operations report 4) Facility report 5) Natural Environment Research Council (NERC) funded upgrades 6) Data processing/management 7) Science/instrument presentations 8) Any other business
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Minutes of the 35th Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility Experimenters' Meeting
2008Co-Authors: David A HooperAbstract:Meeting date: Wednesay 8th December 2004 Meeting location: Penbryn, University of Wales Aberystwyth, UK Meeting agenda: 1) Minutes of the previous meeting 2) Matters arising 3) Site operations report 4) Facility report 5) Natural Environment Research Council (NERC) funded upgrades 6) Data processing/management 7) Science/instrument presentations 8) Any other business
Susan C. Caplow - One of the best experts on this subject based on the ideXlab platform.
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Using stylized agent-based models for population–Environment Research: a case study from the Galápagos Islands
Population and Environment, 2010Co-Authors: Brian W. Miller, Ian Breckheimer, Liza Guzmán-ramirez, Susan C. Caplow, Jessica C. Jones-smith, Amy L. Mccleary, Stephen J. WalshAbstract:Agent-based models (ABMs) are powerful tools for population–Environment Research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use/Land Cover dynamics and livelihood decisions on Isabela Island in the Galápagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galápagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews and represents the primary livelihoods of the population in the Galápagos Islands—tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of Research, as platforms for (1) sharpening conceptualizations of population–Environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.
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Using stylized agent-based models for population-Environment Research: a case study from the Galapagos Islands
Population and Environment, 2010Co-Authors: Brian W. Miller, Ian Breckheimer, Liza Guzmán-ramirez, Susan C. Caplow, Jessica C. Jones-smith, Amy L. Mccleary, Stephen J. WalshAbstract:Agent-based models (ABMs) are powerful tools for population–Environment Research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use/Land Cover dynamics and livelihood decisions on Isabela Island in the Galapagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galapagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews and represents the primary livelihoods of the population in the Galapagos Islands—tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of Research, as platforms for (1) sharpening conceptualizations of population–Environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.
Liza Guzmán-ramirez - One of the best experts on this subject based on the ideXlab platform.
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Using stylized agent-based models for population–Environment Research: a case study from the Galápagos Islands
Population and Environment, 2010Co-Authors: Brian W. Miller, Ian Breckheimer, Liza Guzmán-ramirez, Susan C. Caplow, Jessica C. Jones-smith, Amy L. Mccleary, Stephen J. WalshAbstract:Agent-based models (ABMs) are powerful tools for population–Environment Research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use/Land Cover dynamics and livelihood decisions on Isabela Island in the Galápagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galápagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews and represents the primary livelihoods of the population in the Galápagos Islands—tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of Research, as platforms for (1) sharpening conceptualizations of population–Environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.
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Using stylized agent-based models for population-Environment Research: a case study from the Galapagos Islands
Population and Environment, 2010Co-Authors: Brian W. Miller, Ian Breckheimer, Liza Guzmán-ramirez, Susan C. Caplow, Jessica C. Jones-smith, Amy L. Mccleary, Stephen J. WalshAbstract:Agent-based models (ABMs) are powerful tools for population–Environment Research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use/Land Cover dynamics and livelihood decisions on Isabela Island in the Galapagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galapagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews and represents the primary livelihoods of the population in the Galapagos Islands—tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of Research, as platforms for (1) sharpening conceptualizations of population–Environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.