André Alves- Master of Science
- Non-PhD Integrated Researcher at University of Lisbon
André Alves
- Master of Science
- Non-PhD Integrated Researcher at University of Lisbon
MIT Portugal PhD candidate
University of Lisbon
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Studying the Land–(Renewable) Energy Nexus
About
13
Publications
2,089
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Citations
Introduction
Degree in Geography.
MSc in Geographical Information Systems and Modelling applied to Spatial Planning.
Currently doing research at the Centre of Geographical Studies. Pursuing a PhD in Geography at the University of Lisbon IGOT - Institute of Geography and Spatial Planning.
My research, financed by a grant from the MIT Portugal Program, intersects planning, sustainability, land-use and renewable energy.
Current institution
Additional affiliations
April 2024 - June 2024
Position
- Visiting Researcher
Description
- Investigating the policy dimension of agrivoltaics for a sustainable energy transition. Tutor: PhD Igor Sirnik
October 2021 - August 2022
Directorate General for Territory
Position
- Intern
Description
- Production and improvement of cartographic products for the land cover monitoring system (SMOS) and study of the dynamics of land cover change
August 2022 - February 2023
Position
- Research fellow
Description
- Land cover change classification with change detection algorithms and supervised machine learning
Education
September 2019 - February 2022
University of Lisbon
Field of study
- Geographical Information Systems and Modelling applied to Spatial Planning
September 2016 - July 2019
University of Lisbon
Field of study
- Geography
Publications
Publications (13)
The spread of the coronavirus disease 2019 (COVID-19) has important links with population mobility. Social interaction is a known determinant of human-to-human transmission of infectious diseases and, in turn, population mobility as a proxy of interaction is of paramount importance to analyze COVID-19 diffusion. Using mobility data from Google’s Co...
Monitoring land-use patterns and its trends provides useful information for impact evaluation and policy design. The latest in-depth studies of land-use dynamics for continental Portugal are outdated, and have not examined how municipalities may be classified into a typology of observed dynamics or considered the trajectory profiles of land-use tra...
Background
COVID-19 caused the largest pandemic of the twenty-first century forcing the adoption of containment policies all over the world. Many studies on COVID-19 health determinants have been conducted, mainly using multivariate methods and geographic information systems (GIS), but few attempted to demonstrate how knowing social, economic, mobi...
Land use/land cover (LULC) change detection and classification in maps based on automated data processing are becoming increasingly sophisticated in Earth Observation (EO). There is a growing number of annual maps available, with diverse but related production structures consisting primarily of classification and post-classification phases, the lat...
Rising fuel prices are known to affect public transport (PT) demand. However, the impact of the oil market inflation and subsequent energy crisis following the 2022 Russian invasion of Ukraine on mobility behaviour in Europe has received little attention. This study examines shifts in fuel prices and PT mobility across 25 European Union countries b...
One of the main challenges in the development of renewable energy centers is the location. This decision is intrinsically linked to the need of balancing resource availability with other uses. In the current context of energy transition, renewable energy production must increase significantly in order to decarbonize the electricity system. In Portu...
Este trabalho compara a adequabilidade de modelos de regressão global e espacial na explicação da difusão da COVID-19 em Portugal Continental. Evidenciou-se que os modelos espaciais, em particular a regressão geográfica ponderada, têm performance superior na explicação da difusão da COVID-19. Os resultados sugerem a importância de propriedades geog...
O desenvolvimento de modelos de dados espaciais para apoiar a tomada de decisão na gestão da pandemia é essencial. Contudo, a análise de suscetibilidade à infeção tem privilegiado abordagens knowledge-based sem comparar a adequação de métodos para este efeito. O presente estudo explorou diferentes modelos data-driven para avaliar a suscetibilidade...
Medidas de contenção da transmissão da COVID-19 foram adotadas por todo o mundo. Em Portugal estas baseavam-se exclusivamente na monitorização de indicadores epidemiológicos, ignorando a variação espacial da suscetibilidade à infeção. Utilizando uma regressão linear múltipla passo-a-passo e um método bivariado de análise de pontos de transição deri...
A difusão do novo coronavírus tem importantes associações com a mobilidade da população. Recorrendo a modelos de regressão linear múltipla, com informação epidemiológica da Direção-Geral da Saúde (DGS) e dados de mobilidade disponibilizados pela Google, captura-se a relação causal existente entre alterações na mobilidade e a tendência de incidência...
O interesse por informação credível e atualizada no âmbito da evolução pandémica conduziu à necessidade de desenvolver um instrumento que permitisse a disseminação de informação sobre o estado da difusão da COVID-19. No dashboard desenvolvido é integrada informação segundo quatro níveis territoriais desde março de 2020 até à atualidade. Suportada n...
COVID-19 is a respiratory disease identified in China in late 2019 as responsible for causing several cases of atypical pneumonia. Its dispersion, enhanced by international transport networks, has led to a rapid worldwide spread, causing a pandemic with hundreds of millions of confirmed cases. Geographical approaches to epidemic and pandemic contex...
Due to its novelty, the recent pandemic of the coronavirus disease (COVID-19), which is associated with the spread of the new severe acute respiratory syndrome coronavirus (SARS-CoV-2), triggered the public’s interest in accessing information, demonstrating the importance of obtaining and analyzing credible and updated information from an epidemiol...
