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Holger Klink

Datos Biográficos

ID9905053
NOMBREHolger Klink
NOMBRESHolger
APELLIDOKlink
FIRMAKLINK H
AFILIACIONESChristian-Albrechts-Universität zu Kiel
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2020
ÍNDICE H0
  • Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods

    Open Access•Wolfgang Hamer, Tim Birr et al.•ARTICLE•ISPRS International Journal of…•2020

    Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package papros developed by the authors offers an environment in which both spatial and temporal predictions can be made, based on local data using various deterministic, geostatistical regionalisation, and …

Sin obras prominentes en esta página.

  • Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods

    Open Access•Wolfgang Hamer, Tim Birr et al.•ARTICLE•ISPRS International Journal of…•2020

    Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package papros developed by the authors offers an environment in which both spatial and temporal predictions can be made, based on local data using various deterministic, geostatistical regionalisation, and …

Artificial Intelligence (1 obras) · Biological dispersal (1 obras) · Biology (1 obras) · Cartography (1 obras) · Computer Science (1 obras) · Ecology (1 obras) · Genetics and Plant Breeding (1 obras) · Geography (1 obras) · Machine learning (1 obras) · Population (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae