His scientific interests lie mostly in Urbanization, Land use, land-use change and forestry, Land use, Ecology and Data mining. The various areas that Bryan C. Pijanowski examines in his Urbanization study include Urban planning and Surface runoff. Bryan C. Pijanowski combines subjects such as Land cover, Watershed and Water cycle with his study of Land use, land-use change and forestry.
His work on Agricultural land as part of general Land use research is frequently linked to Multivariate adaptive regression splines, thereby connecting diverse disciplines of science. His work deals with themes such as Soundscape and Soundscape ecology, which intersect with Ecology. His Data mining research includes elements of Elevation, Statistics and Artificial neural network.
The scientist’s investigation covers issues in Land use, Ecology, Land use, land-use change and forestry, Soundscape and Land cover. His studies in Land use integrate themes in fields like Drainage basin, Watershed, Environmental resource management and Urbanization. His Urbanization research integrates issues from Urban density and Urban planning.
His Land use, land-use change and forestry research is multidisciplinary, relying on both Data mining, Climate change, Water quality, Surface runoff and Artificial intelligence. His work on Soundscape ecology and Biophony as part of general Soundscape research is often related to Context, thus linking different fields of science. The concepts of his Land cover study are interwoven with issues in Ecosystem services, Climate model, Precipitation, Vegetation and Physical geography.
Bryan C. Pijanowski spends much of his time researching Soundscape, Ecology, Land use, Soundscape ecology and Urbanization. His work on Biophony is typically connected to Context and Research questions as part of general Soundscape study, connecting several disciplines of science. His Land use study combines topics from a wide range of disciplines, such as Environmental resource management and Scale.
Bryan C. Pijanowski interconnects Feature, Field, Ecology, Field and Pattern recognition in the investigation of issues within Soundscape ecology. His research in Urbanization tackles topics such as Urban planning which are related to areas like Environmental planning and Wisconsin usa. The Land use, land-use change and forestry study combines topics in areas such as Data mining, Surface runoff, Artificial intelligence, Green infrastructure and Machine learning.
His primary areas of investigation include Ecology, Land use, Soundscape, Water quality and Nonpoint source pollution. His research integrates issues of Bioacoustics and Sound in his study of Ecology. Bryan C. Pijanowski has included themes like Geospatial predictive modeling, Cluster analysis and Spatial planning in his Land use study.
His research investigates the connection between Soundscape and topics such as Ecology that intersect with issues in Field, Soundscape ecology, Ecosystem and Tropics. His Water quality course of study focuses on Surface runoff and Land use, land-use change and forestry. His Land-use planning study integrates concerns from other disciplines, such as Urbanization, Urban planning, Geographic information system and Environmental planning.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Soundscape Ecology: The Science of Sound in the Landscape
Bryan C. Pijanowski;Luis J. Villanueva-Rivera;Sarah L. Dumyahn;Almo Farina.
BioScience (2011)
Using neural networks and GIS to forecast land use changes: a Land Transformation Model
Bryan C Pijanowski;Daniel G Brown;Bradley A Shellito;Gaurav A Manik.
Computers, Environment and Urban Systems (2002)
Comparing the input, output, and validation maps for several models of land change
Robert Gilmore Pontius;Wideke Boersma;Jean-Christophe Castella;Keith Clarke.
(2008)
What is soundscape ecology? An introduction and overview of an emerging new science
Bryan C. Pijanowski;Almo Farina;Stuart H. Gage;Sarah L. Dumyahn.
Landscape Ecology (2011)
Forecasting land use change and its environmental impact at a watershed scale.
Z. Tang;B.A. Engel;B.C. Pijanowski;K.J. Lim.
Journal of Environmental Management (2005)
Modeling the relationships between land use and land cover on private lands in the Upper Midwest, USA
D. G. Brown;B. C. Pijanowski;Jiunn-Der Duh.
Journal of Environmental Management (2000)
Iterative near-term ecological forecasting: Needs, opportunities, and challenges
Michael C. Dietze;Andrew Fox;Lindsay M. Beck-Johnson;Julio L. Betancourt.
Proceedings of the National Academy of Sciences of the United States of America (2018)
A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment
Bryan C. Pijanowski;Amin Tayyebi;Jarrod Doucette;Burak K. Pekin.
Environmental Modelling and Software (2014)
An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran
Amin Tayyebi;Bryan Christopher Pijanowski;Amir Hossein Tayyebi.
Landscape and Urban Planning (2011)
The effects of China's cultivated land balance program on potential land productivity at a national scale
Wei Song;Bryan C. Pijanowski.
Applied Geography (2014)
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