Projects
Statistical methods for the analysis of surveys with an informative spatio-temporal sampling design. Hasselt University
ZAP office in spatio-temporal data analysis and modeling Ghent University
ZAP office in spatio-temporal data analysis and modeling (Jan Baetens)
An analysis of the impact of acute and chronic heat stress on various health outcomes using a distributed lag non-linear model and Bayesian spatio-temporal approach KU Leuven
According to the World Meteorological Organization (WMO), 2015-2022 are the eight consecutive warmest year. As a result of continual climate change over many years, there is an increasing trend in temperature, the frequency and intensity of extreme weather events. In light of global warming and climate change, studying the impact of extended temperature over many years on both morbidity and mortality for pronounced future course of practical ...
Spatio-Temporal Analysis of Metadata in Pictures Ghent University
A multiscale spatio-temporal analysis of the economic geography of advanced service clusters in Brussels. Vrije Universiteit Brussel
A wildlife journey in space and time: methodological advancements in the assessment and analysis of spatiotemporal patterns of animal movement in a changing European Environment Ghent University
The general objective is to develop a methodology in the context of movement ecology and
geography allowing to analyze spatio-temporal patterns of animal movement trajectories, in a
dynamically changing landscape. In particular, both spatial and temporal autocorrelation
embedded in this type of data will have to emerge in terms of sequential use of environmental
parameters and ecologically ...
Wildlife crime in Ethiopia: A Spatiotemporal Analysis of Poaching Activities in Ethiopia’s National Parks and Implication for Crime Prevention Ghent University
Poaching occurs at various times and places in protected areas, and it is the second biggest threat to animal species after habitat destruction. Therefore, understanding its behavior and mapping the spatiotemporal patterns of poaching would enable effective patrolling and law enforcement in the future, and potentially reduce the declines in wildlife populations in protected areas and lowering crime in society.
Exploring the Applications of Spatiotemporal Trajectory Data and GeoAI in Urban Mobility Studies: From Metadata Modelling to Mobility Behaviour Analysis Ghent University
Trajectory data has the potential to provide valuable insights into urban mobility but analyzing it in a semantic manner remains a challenge. We aim to introduce GeoAI techniques (i.e., the integration of geography and AI) into trajectory analysis to study the patterns and trends of urban travel behaviours, which will help to inform urban planning and transportation policy decisions.
Refinement of a canopy budget model by analysing nutrien transfer processes in tree canopies at different spatio-temporal scales Ghent University
To quantify total atmospheric deposition onto forests, a so-called canopy-budget-model that estimates dry deposition and ion exchange reactions within forest canopies, is applied worldwide. The aim of this project is to evaluate and adapt the several assumptions made in this model for different tree species, phenological periods, atmospheric pollution levels and site conditions by working at different spatial levels.