Data

Posted on

Guest speaker at QASE

This coming Monday (9th May) The Quantitative Applied Spatial Ecology (QASE) group invite you to a seminar by guest speaker Dr. Alan Woodley [EECS] on the topic “Ecology meets Big Data”. Environmental scientists are increasing taking advantage of much larger and more complex datasets, colloquially known as big data, than they ever have…

Posted on

Job Opportunity

A Research Associate position is available in the Hydrology Group, which is part of the Water Research Centre in the School of Civil and Environmental Engineering, UNSW Australia. The 2 year research position is part of an ARC Linkage Project with DPI Water which will develop a framework for assessing future drought frequency for eastern…

Posted on

Using Approximate Bayesian Computation for estimating wildlife disease dynamics

Studying and predicting emerging infectious wildlife diseases can often be challenging due to the complexity of the host-disease system and a paucity of empirical data. Researchers have recently demonstrated the use of an Approximate Bayesian Computation statistical framework to reconstruct the disease dynamics of bovine tuberculosis in…

Posted on

Wild boar numbers on the rise in Europe

Wild boar numbers in Europe have continued to rise since the 1980’s yet until now it has been unclear what the main drivers of this population growth are. Scientists from the Department of Integrative Biology and Evolution, Research Institute of Wildlife Ecology, University of Veterinary Medicine, Vienna, Austria have now discovered that…

Posted on

The power and limitations of weather models

Here at the Hamilton Ecology Lab, we often attempt to represent a real-world system with a model. This could be the effect of weather on organisms, the spread of an invasive plant pathogen or the cyclic nature of predator-prey relationships. Whilst models can help to represent different systems in the environment, it is important to…

Posted on

LANDSAT dataset now available online

It is often the case in ecology that for various reasons scientists and researches can struggle to collect enough data. Weather, funding, data quality and resolution, health and safety and accessibility can all impact the data collection phase of any research project. Satellite imagery data can sometimes be difficult to acquire, yet…