GnosisGIS symposium & other events

The objective of this half-day workshop is to introduce you to basic methods for geospatial statistical analysis and modelling. The methods discussed are based on the two aspects of spatial statistical analysis and modelling: spatial data exploration, and spatial data modelling.

On spatial data exploration, we will look at the different measures of spatial proximity, global and local measures of spatial association or spatial autocorrelation (e.g. the Moran’s index), and spatial smoothing or spatial filtering.

Spatial data modelling seeks to associate a primary attribute of interest with other attributes, also termed covariates or explanatory variables. Of critical importance is the consideration of spatial autocorrelation in such models. Here, we will focus on spatial regression models such as the spatial autoregressive (SAR) and conditional autoregressive (CAR) models. Real datasets will be applied to demonstrate the methods using either the R or Geoda software. A minimum of five participants is required.

In this workshop, we will try to answer all questions you have about using ABMs for health applications. We will explain what agent-based modelling is and why/when to use agent-based modelling in the health domain. We will look at several examples of health-related ABMs, including a model for Cholera in Ghana and a Covid-19 model for the Netherlands. 

This half-day workshop will combine hands-on experiences with short presentations and question and answer sessions. Before this workshop, you can mail your questions (p.w.m.augustijn@utwente.nl) to ensure that they will be addressed during the workshop, or you can come completely unprepared to see if we can inspire you. A minimum of five participants is required.

In this half-day workshop, we aim to co-create an initial version of an ontology for Geospatial Health domain via discussion with interested experts active in this field. An ontology is a graphical representation of a scientific domain, consisting of concepts that belong to this domain, including the relationships that exist between these concepts. One ontology of the GI-Science domain is the EO4GEO BoK (for details see). 

Over time, we would also like to create links between the GI-science and the Geospatial Health ontologies. Prior to the workshop, you can mail your questions (p.w.m.augustijn@utwente.nl), or you can come completely unprepared to see if we can inspire you. A minimum of five participants is required.