Spatio-temporal Visualisation and Data Exploration of Traditional Ecological Knowledge/Indigenous Knowledge

Data Visualisation and Exploration with Prior Knowledge

Visualising data for exploratory analysis is a major challenge in many applications where there is a need to gain insight into the structure and distribution of the data (e.g. to find common patterns and to identify relationships between samples as well as variables). Typically, visualisationmethods like principal components analysis (PCA) and multi-dimensional scaling (MDS) are employed. These...

23 Multimodal Analytical Visualisation of Spatio- Temporal Data

Spatio-temporal and Ecological Analysis of Brucellosis in North of Iran

Epidemic diseases are a public health concern that has many economic costs and health problems. The geographical distribution of these diseases is a spatial and temporal process. By understanding the process and identifying the factors that affect it, we can take an effective step in preventing and treating these diseases. Brucellosis is one of the most important zoonotic diseases in Iran. To b...

Usability of Spatio-Temporal Uncertainty Visualisation Methods

The presented work helps users of spatio-temporal uncertainty visualisation methods to select suitable methods according to their data and requirements. For this purpose, an extensive web-based survey has been carried out to assess the usability of selected methods for users in different domains, such as GIS and spatial statistics. The results of the survey are used to incorporate a usability p...

Spatio-temporal data mining in ecological and veterinary epidemiology

Understanding the spread of any disease is a highly complex and interdisciplinary exercise as biological, social, geographic, economic, and medical factors may shape the way a disease moves through a population and options for its eventual control or eradication. Disease spread poses a serious threat in animal and plant health and has implications for ecosystem functioning and species extinctio...