Bryan C. Pijanowski

According to our database1, Bryan C. Pijanowski authored at least 18 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Integration of adaptive neural fuzzy inference system and fuzzy rough set theory with support vector regression to urban growth modelling.
Earth Sci. Informatics, 2021

The land transformation model-cluster framework: Applying <i>k</i>-means and the Spark computing environment for large scale land change analytics.
Environ. Model. Softw., 2019

Contributions of MIR to Soundscape Ecology. Part 2: Spectral timbral analysis for discriminating soundscape components.
Ecol. Informatics, 2019

Contributions of MIR to soundscape ecology. Part I: Potential methodological synergies.
Ecol. Informatics, 2019

Contributions of MIR to soundscape ecology. Part 3: Tagging and classifying audio features using a multi-labeling <i>k</i>-nearest neighbor approach.
Ecol. Informatics, 2019

Automatic Bird Vocalization Identification Based on Fusion of Spectral Pattern and Texture Features.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A multi-label cellular automata model for land change simulation.
Trans. GIS, 2017

Automated bird acoustic event detection and robust species classification.
Ecol. Informatics, 2017

Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010-2050.
Data, 2017

Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm.
Sensors, 2016

Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world.
Environ. Model. Softw., 2014

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.
Environ. Model. Softw., 2014

Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools.
Int. J. Appl. Earth Obs. Geoinformation, 2014

Mapping Open Space in an Old-Growth, Secondary-Growth, and Selectively-Logged Tropical Rainforest Using Discrete Return LIDAR.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Spatially-Explicit Bayesian Information Entropy Metrics for Calibrating Landscape Transformation Models.
Entropy, 2013

Optimizing unsupervised classifications of remotely sensed imagery with a data-assisted labeling approach.
Comput. Geosci., 2008

Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model.
Simul., 2005

Calibrating a neural network-based urban change model for two metropolitan areas of the Upper Midwest of the United States.
Int. J. Geogr. Inf. Sci., 2005