Directory at the HPC²
Research Interest
Hydrologic extremes; streamflow modeling; statistical hydrology; geospatial analysis; climate change and mitigation and adaptation; green and blue infrastructure
Selected Publications
Total Publications: 45
Raczynski, K., Grala, K., & Cartwright, J. H. (2025). Creating Raster DEM from LiDAR Data. Mississippi State University: Geosystems Research Institute. [Document]
Raczynski, K., Grala, K., & Cartwright, J. H. (2025). Spatial Predicates: Preparing Residential Dataset. Mississippi State University: Geosystems Research Institute. [Document]
Raczynski, K., Xavier, F. V., & Cartwright, J. H. (2025). Using Unsupervised Machine Learning for Land Use Land Cover Classification. Mississippi State University: Geosystems Research Institute. [Document]
Raczynski, K., Xavier, F. V., & Cartwright, J. H. (2025). Using Supervised Machine Learning for Land Use Land Cover Classification. Mississippi State University: Geosystems Research Institute. [Document]
Raczynski, K., Nagel, A., & Cartwright, J. H. (2025). Hydrologic Raster Preparation: Resampling and Burning Stream Network. Mississippi State University: Geosystems Research Institute. [Document]
Raczynski, K., Grala, K., & Cartwright, J. H. (2025). Spatial Predicates: Preparing Residential Dataset. Mississippi State University: Geosystems Research Institute. [Document]
Raczynski, K., Xavier, F. V., & Cartwright, J. H. (2025). Using Unsupervised Machine Learning for Land Use Land Cover Classification. Mississippi State University: Geosystems Research Institute. [Document]
Raczynski, K., Xavier, F. V., & Cartwright, J. H. (2025). Using Supervised Machine Learning for Land Use Land Cover Classification. Mississippi State University: Geosystems Research Institute. [Document]
Raczynski, K., Nagel, A., & Cartwright, J. H. (2025). Hydrologic Raster Preparation: Resampling and Burning Stream Network. Mississippi State University: Geosystems Research Institute. [Document]
