• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20012020

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Personal profile

Research interests

My research interests include knowledge discovery in databases and data quality assessment with specific focus on spatial/temporal data. I am interested in geostatistical stochastic simulation algorithms and spatial regression, particularly for the modelling of spatial and temporal phenomena. As part of my research work, I have been developing geostatistical procedures to identify and remove non-climatic irregularities from data with yearly and monthly resolution. Currently, I am investigating a homogenisation procedure that is appropriate for those situations in which the monitoring stations are located in extensive areas with different climatic characteristics. A software named gsimcli was designed and developed for the homogenisation of climate time series by two FCT grant holders (Sara Ribeiro and Júlio Caineta; PTDC/GEO-MET/4026/2012) under my supervision. The gsimcli software is freely available for download (https://github.com/iled/gsimcli).

Education/Academic qualification

Engineering Sciences, Doctorate, Instituto Superior Técnico

Award Date: 3 Apr 2009

Statistics and Information Management, Master, NOVA Information Management School (NOVA IMS)

Award Date: 14 May 2001

Mathematics with specialization in Statistics, Bachelor, Faculdade de Ciências e Tecnologia (FCT)

Award Date: 26 Jul 1995

Keywords

  • HA Statistics
  • Geostatistics
  • Spatial analysis
  • Spatial regression
  • Spatial statistics
  • Geographical weighted regression
  • Kriging
  • Spatial interpolation
  • Q Science (General)
  • Climate Change
  • Geographical Information Systems
  • Precipitation indices
  • drought
  • climate variability
  • Smart cities
  • G Geography (General)
  • Spatial analysis
  • Geographical Information Systems
  • Health determinants
  • Health inequalities
  • Urban climate
  • Urban development
  • Tourism
  • Smart cities
  • Location Intelligence
  • Open geographic data

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