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GenStat for Geology

If you are involved in Geology you should be using GenStat. It really is that simple. In fact if you are involved in agriculture, biological sciences or any related disciplines you should be using GenStat. Our 40 year heritage and pedigree make us the tool of choice for these fields; because these are the fields GenStat grew up in.

Ralph Waldo Emerson was quoted as saying "we learn geology the morning after the earth quake." A fact which may have been true in the 19th century but lucky for us is no longer the case.

Understanding the underlying geologic processes is essential to monitoring and alleviating the damaging effects of earthly hazards such as landslides, earthquakes and climate change. The key to such is understanding your data. The key to understanding your data is GenStat.

Why GenStat?

As the only software of it's kind to concentrate on the life sciences, GenStat is ideally placed to help you reach your goals quickly, efficiently and perhaps most important, accurately. With a growing awareness that new technologies can support and often accelerate results, GenStat provides all the tools you need to make the most of your data.
  • Analyse large, complex datasets easily and efficiently
  • Assist in defining factors that affect your research
  • Quantify importance of lithology / bedrock types
  • Define relationships between geological factors
  • Discover patterns in vast sets of data
  • Determine risk factors
  • Examine traits of geo-economic importance
  • Integrate agricultural, geological and climatic data
With thousands of analyses, procedures and directives a single page isn't nearly enough to show off GenStat. The following is but a small example of some of the possibilities; to gauge the full potential why not try GenStat for yourself?

  • Design experiments and plan monitoring systems
  • Analysis of variance to determine the significance of geological classifications
  • Geostatistical analysis of geologically classified data
  • Model data using generalized linear modelling
  • Model fixed and mixed effects
  • Fit regression models using REML
  • Analyse univariate and multivariate data based on linear, generalized linear, mixed linear and hierarchical generalized linear models.
  • Principal component analysis
  • Exploratory spatial analyses
  • Quantitative and qualitative data analysis
The science of geology is fundamental to the continued existence of the human race. We embrace our role in helping you get the most from your data and as such promise an unparalleled level of support and continued focus on life sciences.

"…..and yet it does move" Galileo


 
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