What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Artificial intelligence
Daniel G. Brown mainly focuses on Land use, land-use change and forestry, Land use, Management science, Cartography and Agent-based model.
Daniel G. Brown has included themes like Regional science, Path dependence and Urbanization in his Land use, land-use change and forestry study.
His Land use research is multidisciplinary, relying on both Physical geography and Environmental resource management.
His biological study spans a wide range of topics, including Rural land, Agriculture, Geographic distribution and Ecoregion.
His study in Cartography is interdisciplinary in nature, drawing from both Fuzzy set, Class, Kriging and Fuzzy clustering.
His Agent-based model research incorporates themes from Sample, Empirical research and Travel behavior.
His most cited work include:
- Rural land-use trends in the conterminous United States, 1950-2000 (579 citations)
- Using neural networks and GIS to forecast land use changes: a Land Transformation Model (523 citations)
- Mapping community determinants of heat vulnerability. (374 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Land use, Land cover, Environmental resource management, Ecology and Remote sensing.
His Land use research integrates issues from Agriculture and Climate change.
His work deals with themes such as Satellite imagery, Geostatistics, Plant cover, Carbon cycle and Spatial ecology, which intersect with Land cover.
Many of his studies on Ecology involve topics that are commonly interrelated, such as Physical geography.
His work on Remote sensing, Thematic Mapper and Digital elevation model as part of general Remote sensing study is frequently linked to Digital data, therefore connecting diverse disciplines of science.
His studies deal with areas such as Watershed, Urban sprawl and Environmental planning as well as Land use, land-use change and forestry.
He most often published in these fields:
- Land use (24.88%)
- Land cover (17.37%)
- Environmental resource management (14.55%)
What were the highlights of his more recent work (between 2015-2021)?
- Land use (24.88%)
- Natural resource economics (4.23%)
- Livelihood (5.63%)
In recent papers he was focusing on the following fields of study:
His main research concerns Land use, Natural resource economics, Livelihood, Agriculture and Ecology.
The concepts of his Land use study are interwoven with issues in Climate change and Ecosystem.
His Climate change study integrates concerns from other disciplines, such as Nutrient pollution and Environmental protection.
His Livelihood course of study focuses on Urbanization and Economic impact analysis and Landscape ecology.
Daniel G. Brown interconnects Climate resilience, Poverty reduction and Equity in the investigation of issues within Agriculture.
His Land cover research is multidisciplinary, incorporating elements of Spatial ecology, Remote sensing and Environmental resource management.
Between 2015 and 2021, his most popular works were:
- Estimating local biodiversity change: a critique of papers claiming no net loss of local diversity. (154 citations)
- A review of current calibration and validation practices in land-change modeling (94 citations)
- Modelling feedbacks between human and natural processes in the land system (31 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Artificial intelligence
Daniel G. Brown spends much of his time researching Natural resource economics, Livelihood, Ecology, Sustainability and Environmental resource management.
His Natural resource economics research incorporates elements of Agricultural extension, Boom, Land grabbing, Economic globalization and Volatility.
The Livelihood study combines topics in areas such as Urbanization and Ecosystem services.
Daniel G. Brown integrates several fields in his works, including Ecology and Distribution.
His Sustainability study incorporates themes from Rangeland and Desertification.
His Environmental resource management research includes themes of Environmental impact assessment, Psychological resilience and Land use.
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