Raja Sengupta
Orcid: 0000-0003-4914-5844Affiliations:
- McGill University, Department of Geography and School of Environment, Montral, QC, Canada
According to our database1,
Raja Sengupta
authored at least 16 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Agent-Based Modeling of COVID-19 Transmission: A Case Study of Housing Densities in Sankalitnagar, Ahmedabad.
ISPRS Int. J. Geo Inf., 2024
2023
Towards Integration of Spatial Context in Building Energy Demand Assessment Supported by CityGML Energy Extension.
Proceedings of the Web and Wireless Geographical Information Systems, 2023
2022
Using Big Data and Machine Learning for Multilayered Surveillance for Healthy Food Environment and Diet.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Transferring decision boundaries onto a geographic space: Agent rules extracted from movement data using classification trees.
Trans. GIS, 2021
Mapping research networks supported by the National Geographic Society through spatial social networks.
Int. J. Geogr. Inf. Sci., 2021
2019
Metrics for characterizing network structure and node importance in Spatial Social Networks.
Int. J. Geogr. Inf. Sci., 2019
2016
Int. J. Geogr. Inf. Sci., 2016
Proceedings of the Geographic Information Science - 9th International Conference, 2016
2015
2014
Geovisualization for cluster detection of hepatitis A & E outbreaks in Ahmedabad, Gujarat, India.
Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, 2014
2011
Improving the efficiency of healthcare delivery system in underdeveloped rural areas.
Proceedings of the Third International Conference on Communication Systems and Networks, 2011
2008
Agent-Based Simulation of Urban Residential Dynamics and Land Rent Change in a Gentrifying Area of Boston.
Trans. GIS, 2008
2007
2004
A Hybrid Spatio-Temporal Data Model and Structure (HST-DMS) for Efficient Storage and Retrieval of Land Use Information.
Trans. GIS, 2004
A spatial decision support system to identify species-specific critical habitats based on size and accessibility using US GAP data.
Environ. Model. Softw., 2004
2003
Int. J. Geogr. Inf. Sci., 2003