Understanding and reliably modelling the natural world often relies on advanced statistical analysis. And when evidence points to the need to invest or change behaviour (as with climate change and habitat loss), there are plenty of sceptics and vested interests looking for flaws in the analysis that led to your conclusions.
We’ve helped to design, analyse and report studies aimed at establishing reliable data for species numbers, distribution, mortality, migration and productivity. The statistical outputs are invaluable for developing and monitoring appropriate conservation policies, and understanding species dynamics and their use of the natural landscape.
Habitats of certain species are protected under international law. Additionally planning regulations require developers to mitigate the effects of new developments on habitats. Rigorous statistical analysis is critical to understanding these habitats and how they are used by key species.
Predicting both national and local climate and weather is important for many businesses and other organisations including those working in retail, agriculture, insurance and environmental planning. We have expertise in using Met Office and other environmental data to provide a more accurate picture of local weather patterns to help retail businesses, food producers and leisure attractions plan more accurately.
Planning and Licensing
Large scale building developments often require an Environmental Impact Assessment before approval. And even where it is not a formal requirement, a detailed assessment of the environmental impact helps avoid appeals and litigation. Impacts assessed can include habitats, species, noise, air quality and light.
Sound data analysis will ensure that environmental factors are assessed accurately and that mitigation measures are likely to achieve the required effect. Whether you are proposing or opposing a development you need reliable data and analysis. Our statistical consultants help with all of these issues as well as ensuring that environmental policies are effective and have a solid statistical basis.
Geographic Information System (GIS) mapping is increasingly used to interpret and model geographic data. Many databases contain geographical data (addresses, for example). Often, it is only when these data are projected onto a map that they become meaningful.
Insurance companies, retailers, local authorities, utility companies, emergency services and many other organisations use GIS mapping for modelling and decision making. We advise organisations in specialist areas such as data extraction and visualisation and help them use the most appropriate statistical techniques in their modelling.
Accurate prediction and monitoring of how communities are affected by pollution can be highly complex. Finding reliable answers is essential for developing appropriate planning, environmental and planning policies. Our statistical consultants help local authorities, developers, and environmental bodies get a clearer picture of the impact of pollution in all its forms, from noise and light pollution to chemical and air pollution.
Disaster Prediction and Planning
Floods, fire, tsunamis, earthquakes and other natural disasters have far-reaching consequences. The more you know about where they are likely to occur and the numbers and locations of people, towns and villages who will be affected, the more you can plan to have appropriate support and relief in place quickly. Having accurate information is invaluable for governments, NGOs and support charities
Energy efficiency is an increasingly important aspect of environmental policy. We have advised on how to use both public and private data to build a more complete picture of the distribution of energy efficiency measures in both residential and commercial properties. Statistical analysis also provides a clearer understanding of how greater energy efficiency will affect demand for resources and impact the environment.
Independent statistical expertise lends credibility to your research and your recommendations. We help ensure that you take full advantage of all available information, that the most relevant analytical methods are used, and that conclusions and recommendations are clearly expressed and supported by the data.