| Analysis of 200 years of change in Ontario wetland systems E Penfound, E Vaz Applied Geography 138, 102625, 2022 | 20 | 2022 |
| Machine learning for analysis of wealth in cities: A spatial-empirical examination of wealth in Toronto E Vaz, F Bação, B Damásio, M Haynes, E Penfound Habitat International 108, 102319, 2021 | 13 | 2021 |
| Analysis of wetland landcover change in Great Lakes urban areas using self-organizing maps E Penfound, E Vaz Remote Sensing 13 (24), 4960, 2021 | 11 | 2021 |
| Open data and injuries in urban areas—A spatial analytical framework of Toronto using machine learning and spatial regressions E Vaz, MD Cusimano, F Bação, B Damásio, E Penfound Plos one 16 (3), e0248285, 2021 | 11 | 2021 |
| Rethinking agricultural land use in Algiers: A spatial analysis of the Eastern Mitidja Plain A Bellout, E Vaz, E Penfound Habitat International 104, 102239, 2020 | 10 | 2020 |
| Mumbai's business landscape: A spatial analytical approach to urbanisation E Vaz, B Damásio, F Baçao, M Kotha, E Penfound, SK Rai Heliyon 7 (7), 2021 | 9 | 2021 |
| Mars terraforming: A geographic information systems framework E Vaz, E Penfound Life Sciences in Space Research 24, 50-63, 2020 | 8 | 2020 |
| Modelling future wetland loss with land use landcover change simulation in the Greater Toronto and Hamilton Area: The importance of continued greenbelt development restrictions E Penfound, E Vaz Habitat International 143, 102974, 2024 | 3 | 2024 |
| Urban habitats and food insecurity: Lessons learned throughout a pandemic E Vaz, B Damásio, F Bação, RR Shaker, E Penfound Habitat International 135, 102779, 2023 | 2 | 2023 |
| Ontario Wetland Policy Analysis E Penfound Regional and Urban Change and Geographical Information Systems and Science …, 2023 | 1 | 2023 |
| Modelling the Impact of Temperature under Climate Change Scenarios on Native and Invasive Vascular Vegetation on the Antarctic Peninsula and Surrounding Islands E Penfound, C Wellen, E Vaz Geomatics 2 (4), 390-414, 2022 | 1 | 2022 |
| Analysis of wetland landcover change in Great Lakes urban areas using. E Penfound, E Vaz | | 2021 |
| Mumbai's business landscape: A spatial analytical approach to urbanisation E de Noronha Vaz, B Damásio, F Bação, M Kotha, E Penfound, SK Rai Toronto Metropolitan University, 0 | | |
| Open data and injuries in urban areas—A spatial analytical framework of Toronto using machine learning and spatial regressions E de Noronha Vaz, MD Cusimano, F Bação, B Damásio, E Penfound Toronto Metropolitan University, 0 | | |
| Data Analysis for Optimization of Mars Terraforming: A GIS Framework E Penfound Toronto Metropolitan University, 0 | | |
Eric VazFull Professor and Graduate Program Director, Toronto Metropolitan University在 ryerson.ca 的电子邮件经过验证
