Welcome to Parmanand Sinha GitHub Pages

Parmanand Sinha is a Computational Scientist at the Research Computing Center (RCC) at the University of Chicago. At RCC, he serves as an expert for geocomputation and spatial modeling. His research interests include urban economics, cyberGIS, spatial data-mining, and spatial econometrics. Parmanand completed M. S. and Ph.D. in Geospatial Information Sciences at the University of Texas at Dallas under the supervision of Dr. Daniel Griffith. He holds a Bachelor of Architecture degree from Indian Institute of Technology, Roorkee. Previously as a postdoctoral assistant, he has worked at the University of Louisville on the WorldPop project, and with the Spatial Sciences Census Research group at the University of Tennessee, Knoxville.

Recent Publications

K. Onda, P. Sinha, A. Gaughan, F. Stevens, and N. kaza “The missing millions: Undercounting urbanization in India”, Population and Environment, Dec 2019 https://doi.org/10.1007/s11111-019-00329-2
P. Sinha, A. E. Gaughan, F. R. Stevens, J. J. Nieves, A. Sorichetta, and A. J. Tatem,“Assessing the spatial sensitivity of a random forest model : Application in gridded population modeling”, Journal of Computers Environment and Urban Systems, May 2019, https://doi.org/10.1016/j.compenvurbsys.2019.01.006.
P. Sinha, and D. Griffith,“Incorporating urban sprawl measures in land use forecasting model”, “Transactions in GIS”, August 2019, https ://doi.org/10.1111/tgis.12554
“How Remotely Sensed Built Areas and Their Realizations Inform and Constrain Gridded Population Models,” IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 6364-6367. https://doi.org/10.1109/IGARSS.2019.8899339
Chun, Yongwan, Daniel Griffith, Monghyeon Lee, and Parmanand Sinha,“Eigenvector selection with stepwiseregression techniques to construct eigenvector spatial filters”, Journal of Geographical Systems January 2016, vol 18, https://doi.org/10.1007/s10109-015-0225-3.

Current Workshops

Introduction to Spatial Raster Data in R
Introduction to Geocoding
Data visualization with R for Social Scientists
Raster/Vector processing using GDAL/OGR libraries
Introduction to ArcGIS API
Parallel processing for raster data in R

Past Teachings

GEOG 350 Introduction to Geospatial Technologies (University of Louisville)
GISC4385 Transportation GIS (University of Texas at Dallas)