Enabling Collaboration Among Cultural Heritage Experts and Maritime Spatial Planners. - Lise Schrøder; Marina Georgati; Henning Sten Hansen (EGOVIS, 2020)

Spatially Explicit Population Projections: The case of Copenhagen, Denmark. - Marina Georgati; Carsten Keßler (AGILE Conf., 2021)

Spatial Disaggregation of Population Subgroups Leveraging Self-Trained Multi-Output Gradient Boosting Regression Trees. - Marina Georgati; João Monteiro; Bruno Martins 001; Carsten Keßler (AGILE Conf., 2022)

Migration Studies with a Compositional Data Approach: A Case Study of Population Structure in the Capital Region of Denmark. - Javier Elío; Marina Georgati; Henning Sten Hansen; Carsten Keßler (ICCSA (Workshops 3), 2022)

Analytics of historical human migration patterns: use cases of Amsterdam and Copenhagen. - Irma Kveladze; Marina Georgati; Carsten Keßler; Henning Sten Hansen (J. Locat. Based Serv., 2023)

Random Forest Variable Importance Measures for Spatial Dynamics: Case Studies from Urban Demography. - Marina Georgati; Henning Sten Hansen; Carsten Keßler (ISPRS Int. J. Geo Inf., 2023)

Modeling population distribution: A visual and quantitative analysis of gradient boosting and deep learning models for multi-output spatial disaggregation. - Marina Georgati; João Monteiro; Bruno Martins 001; Carsten Keßler; Henning Sten Hansen (Trans. GIS, 2024)