Percorrer por autor "Jacinto, Gonçalo"
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- Clustered patterns of household water consumption in Portuguese municipalities: do regional location and population trajectory matter?Publication . Jacinto, Gonçalo; Barreira, Ana PaulaPortugal faces water scarcity challenges, yet studies on per-household water consumption are limited. This study aims to address this gap by employing cluster analyses to assess how population trajectories, a previously overlooked aspect, and the regional location influence per-household monthly water consumption across 122 municipalities. Findings highlight higher consumption in the South despite lower prices. Municipalities experiencing population growth and those with long-term population declines show higher per-household water consumption but lower prices. Interestingly, while higher prices correlate with lower consumption, southern municipalities show increased prices without reduced consumption. Clustering reveals slight changes in consumption patterns from 2011 to 2020.
- Insights into conservation success: analysing shore angling before implementing a marine protected areaPublication . Jacinto, Gonçalo; Veiga, Pedro; Monteiro, Pedro; Erzini, Karim; Gonçalves, Jorge Manuel Santos; Horta e Costa, Barbara; Pontes, João; Guerreiro, Pedro Miguel; Rangel, Mafalda; Nuñez Velazquez, Samira; Pilar Fonseca, TerezaIn January 2024, the "Natural Marine Park of the Algarve Reef - Pedra do Valado" (NMPAR-PV; southern Portugal), a community-based Marine Protected Area (MPA) was formally classified, setting the scene for a new paradigm for co-creating Portuguese MPAs. While complying with the best practices for MPA establishment, this area also contributes to national and international conservation targets. Measuring the success of MPAs relies on the availability of the best scientific information, including baseline data on biodiversity, habitat and human activities characterization. Marine recreational fishing is a significantly important human activity within this recently designated MPA. Hence, the systematic collection of quantitative data on this activity is critical for determining its impacts and ensuring the preservation and protection of fisheries resource. This study aims to collect and analyze socioeconomic and ecological data on shore angling fisheries at NMPAR-PV, implementing surveys and instantaneous counting. Data from 325 questionnaires and 27 counting surveys conducted between February 2022 and February 2023 highlighted the importance of shore angling. The activity is primarily conducted by local Portuguese men, over 50, employed and with low formal education. Most recreational fishers supported the MPA's implementation, suggesting community care for conservation efforts. The annual fishing effort was estimated at 52 198 +/- 6 631 angling hours, with peaks in Autumn. Annual catches, dominated by Scombridae and Sparidae species, were estimated at 10.41 +/- 1.96 tonnes of fish. This study provides valuable insights into the evolution of recreational fishing activity within the MPA, addressing important information to assess its effectiveness.
- Regularisation and central limit theorems for an inverse problem in network sampling applicationsPublication . Antunes, Nelson; Jacinto, Gonçalo; Pipiras, VladasAn inverse problem motivated by packet sampling in communication networks and edge sampling in directed complex networks is studied through the operator perspective. The problem is shown to be ill-posed, with the resulting naive estimator potentially having very heavy tails, satisfying non-Gaussian central limit theorem and showing poor statistical performance. Regularisation of the problem leads to the Gaussian central limit theorem and superior performance of the regularised estimator, as a result of desirable properties of underlying operators. The limiting variance and convergence rates of the regularised estimator are also investigated. The results are illustrated on synthetic and real data from communication and complex networks.
- Statistical inference in queueing networks with probing informationPublication . Antunes, Nelson; Jacinto, Gonçalo; Pacheco, AntónioStatistical inference of the model parameters of a queueing system from data is an essential part of the study of the system. The data collection procedure specifies the type of observations from the system which are available. The estimation of the parameters can follow standard statistical procedures if we can collect all the necessary information from the system (e.g. arrival times and service times of customers) [5]. This explains the initial limited literature in statistical inference of queueing systems compared with performance analysis studies. For a survey on estimation in queueing systems, see.