scispace - formally typeset
F

Filipe Batista e Silva

Researcher at University of Porto

Publications -  38
Citations -  1739

Filipe Batista e Silva is an academic researcher from University of Porto. The author has contributed to research in topics: Population & Land use. The author has an hindex of 17, co-authored 36 publications receiving 1276 citations.

Papers
More filters
Journal ArticleDOI

An assessment of the regional potential for solar power generation in EU-28

TL;DR: In this article, the potential of European regions to solar power generation and its comparison with recent European Union (EU) incentives for the development of this renewable energy source was assessed using a multi-criteria assessment (MCA) supported by Geographical Information System (GIS) to combine already existing information on solar radiation with other geographical factors such as slope, land use, urban extent and population distribution, as well as proximity to the power grid to generate a suitability map for photovoltaic (PV) power plants across the EU at high spatial resolution.
Journal ArticleDOI

Increasing risk over time of weather-related hazards to the European population: a data-driven prognostic study

TL;DR: It is found that weather-related disasters could affect about two-thirds of the European population annually by the year 2100, mainly through a rise in the frequency of heatwaves, which is dominated by global warming.
Journal ArticleDOI

More green infrastructure is required to maintain ecosystem services under current trends in land-use change in Europe

TL;DR: It is estimated that every additional percent increase of the proportion of artificial land needs to be compensated with an increase of 2.2 % of land that qualifies as green infrastructure in order to maintain ecosystem services at 2010 levels.
Journal ArticleDOI

Escalating impacts of climate extremes on critical infrastructures in Europe

TL;DR: In this paper, the authors show how single and multi-hazard damage to energy, transport, industrial, and social critical infrastructures in Europe are likely to develop until the year 2100 under the influence of climate change.
Journal ArticleDOI

Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources

TL;DR: In this paper, the authors presented a novel, complete and consistent dataset describing tourist density at high spatial resolution with monthly breakdown for the whole of the European Union, which is achieved thanks to the integration of data from conventional statistical sources with big data from emerging sources, namely two major online booking services containing the precise location and capacity of tourism accommodation establishments.