geographic data

Understanding the World

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The climate of a place is usually presented through climographs that combine monthly precipitation and temperature in a single chart. However, it is also interesting to visualize the climate on a daily scale showing the thermal amplitude and the daily average temperature. To do this, the averages for each day of the year of the daily minimums, maximums and averages are calculated. The annual climate cycle presents a good opportunity to use a radial or polar which allows us to clearly visualize seasonal patterns.

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Firefly maps are promoted and described by John Nelson who published a post in 2016 about its characteristics. However, these types of maps are linked to ArcGIS, which has led me to try to recreate them in R.

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Publications

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(2021). A cross-sectional analysis of meteorological factors and SARS-CoV-2 transmission in 409 cities across 26 countries. In Nature Communications 12(1):5968.

PDF 10.1038/s41467-021-25914-8

(2021). Mortality risk attributable to wildfire-related PM 2·5 pollution: a global time series study in 749 locations. In The Lancet Planetary Health 5(9):E579-E587.

PDF 10.1016/S2542-5196(21)00200-X

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Projects

[2021-2023] Effects of the atmospheric environment on morbidity and mortality. (Universidad de Santiago de Compostela)

[2019-2022] AVODIS - Understanding and building on the social context of rural Portugal to prevent wildfire disasters. (University of Porto)

[2020-2021] Short-term effect of heat and cold on the use of respiratory medications. An ecological study of time series. (DRO-ANT-2020-01, AEMPS) (Universidad de Santiago de Compostela)

[2018-2020] CLICES- CLImate of the last CEntury in Spanish mainland. (University of Barcelona, University of Zaragoza, CSIC)

[2017-2020] ELECTRONET - Atmospheric Electricity Network: coupling with the Earth System, climate and biological systems. info (Cost Action 15211)

[2016-2019] FIREXTR - Prevent and prepare society for extreme fire events: the challenge of seeing the forest and not just the trees. info (University of Porto)

[2018-2020] Prevalence of consumption of alcohol, cannabis and other drugs in students between 14 and 18 years of age in Lugo. (University of Santiago de Compostela)

[2017-2019] MEDEA3 - Study of socioeconomic and environmental inequalities in the geographical distribution of mortality in large cities (1996-2015). info (Multicenter Research Project)

[2017-2019] Intensive alcohol consumption: characterization of a new trajectory towards alcoholism. (University of Santiago de Compostela)

[2014-2016] Biometeorological approach to study the spatial variability of influenza in the Iberian Peninsula. (University of Cantabria)


Courses

  • 2021

Time series regression modeling with R [15h] (Summer School, Universitat Politècnica de Catalunya)

Introduction in Geographic Information Systems and Cartography with R, III Edition [30h] (Curso de Verano, Universidad de Santiago de Compostela)

  • 2019

Introduction in Geographic Information Systems and Cartography with R [15h] (Summer School, Universitat Politècnica de Catalunya)

Introduction in Geographic Information Systems and Cartography with R, II Edition [30h] (Summer School, University of Santiago de Compostela)

Introduction in Geographic Information Systems with R [30h] (University of Porto)

  • 2018

Introduction in Geographic Information Systems and Cartography with R, I Edition [30h] (Summer School, University of Santiago de Compostela)

  • 2014

Practical applications of R with climatological data [25h] (University of Barcelona)

Climatic applications of Geographic Information Systems [12h] (University of Santiago de Compostela)

  • 2013

Introduction to Statistics with R [20h] (University of Santiago de Compostela)

Introduction in data management, manipulation, visualization and statistics with R [40h] (University of Barcelona)