6533b859fe1ef96bd12b7958

RESEARCH PRODUCT

Spatio-temporal statistical methods in environmental and biometrical problems

Rosa M. CrujeirasFrancisco MontesRaquel MenezesJorge Mateu

subject

Statistics and Probabilitypore structuresOzone concentration0208 environmental biotechnologyAir pollutionEcological data02 engineering and technologyManagement Monitoring Policy and Lawmedicine.disease_cause01 natural sciencesseismic data010104 statistics & probabilityenvironmental applicationsBiomedical dataecological dataStatistical analysesmedicineEcological data0101 mathematicsComputers in Earth SciencesEnvironmental applicationsbiomedical dataCancer mortalityScience & Technologyhake recruitmentsBiomedical data020801 environmental engineeringGeography13. Climate actionPlant speciesHake recruitmentsSeismic dataPhysical geographyPore structures

description

This is the editorial letter for the Special Issue dedicated to the VIII International Workshop on Spatio-temporal Modelling (METMAVIII) which took place in Valencia (Spain) from 1 to 3 June 2016, and to the second Galician-Portuguese meeting of Biometry, with applications to Health Sciences, Ecology and Environmental Sciences (BIOAPP2016) held in Santiago de Compostela (Spain), 30–2 July 2016. This special issue summarises and discusses selected peer-reviewed contributions related to spatial and spatio-temporal statistical methodologies comprising both new methodological approaches and a wide range of applications related to environmental and biometrical problems. Point processes, lattice data and geostatistical methods are covered. These methods are illustrated with statistical analyses of animal or plant species in ecological studies, seismic data, temperatures and monthly precipitation, daily ozone concentration values, air pollution data, breast cancer incidence rates, mussels, wildfires, pore structures in pharmaceutical coatings, hake recruitment and cancer mortality data.

yearjournalcountryeditionlanguage
2017-11-01
10.1016/j.spasta.2017.11.008