D.E. Payares Garcia (David)

PhD Candidate
ITC-EOS
d.e.payaresgarcia@utwente.nl
+31534891934
Business card

I am a Ph.D. Candidate in Spatial Statistics and Geo-information Integration, specializing in the analysis, processing, and production of spatial data. My profile combines a robust foundation in statistics and mathematics with extensive practical experience in geospatial applications. My research interests primarily focus on applying spatial data science and geoinformatics to address medical and epidemiological challenges. The key fields of application I work in include spatial epidemiology, spatio-temporal modeling, biostatistics, and medical geography. My expertise extends to advanced statistical analysis, geospatial data processing, machine learning techniques, and Geographic Information Systems (GIS). Additionally, I have valuable experience in related areas such as software development, remote sensing, and demographic analysis.

Expertise

  • Computer Science

    • Process Model
    • User

  • Mathematics

    • Count Data
    • Parametric
    • Point Process

  • Social Sciences

    • Approach
    • Colombia
    • Mortality

Organisations

Publications

2024

Multivariate Poisson cokriging: A geostatistical model for health count data (2024)Statistical methods in medical research, 33(9), 1637-1659. Payares-Garcia, D., Osei, F., Mateu, J. & Stein, A.https://doi.org/10.1177/09622802241268488Self-exciting point process modelling of crimes on linear networks (2024)Statistical modelling, 24(2), 139-168. D'Angelo, N., Payares-Garcia, D., Adelfio, G. & Mateu, J.https://doi.org/10.1177/1471082X221094146

2023

A Poisson cokriging method for bivariate count data (2023)Spatial statistics, 57. Article 100769. Payares-Garcia, D., Osei, F. B., Stein, A. & Mateu, J.https://doi.org/10.1016/j.spasta.2023.100769NeuroNorm: An R package to standardize multiple structural MRI (2023)Neurocomputing, 550. Article 126493. Payares Garcia, D. E., Mateu, J. & Schick, W.https://doi.org/10.1016/j.neucom.2023.126493Determinants of Pneumonia mortality in Bogota, Colombia: A spatial econometrics approach (2023)Spatial and Spatio-temporal Epidemiology, 45. Article 100581. Payares-Garcia, D., Quintero-Alonso, B. & Melo-Martinez, C.https://doi.org/10.1016/j.sste.2023.100581A dynamic spatio-temporal stochastic modeling approach of emergency calls in an urban context (2023)Mathematics, 11(4). Article 1052. Payares-Garcia, D., Platero, J. & Mateu, J.https://doi.org/10.3390/math11041052Spatially informed Bayesian neural network for neurodegenerative diseases classification (2023)Statistics in medicine, 42(2), 105-121. Payares-Garcia, D., Mateu, J. & Schick, W.https://doi.org/10.1002/sim.9604

Research profiles

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