Research, Analysis, Surveys & Statistics

Many projects today depend on robust scientific research, logical survey designs, and good analytics.  We have conducted a number of research programs in New Zealand and internationally to determine the answers to technical questions.  Sometimes lateral thinking combined with logical decisions and robust designs are needed to find the answers to questions others cannot resolve.  We have a good track record of achieving such results for a number of clients (from small scale to international inter-governmental issues).
 Once the research has been undertaken and data has been collected (either experimentally or from survey design), then statistics, Geographic Information Systems (GIS) services and data management are important tools used to fulfil many needs from reporting monitoring results to councils, resource consents and research outcomes, to storing data collected from surveillance activities for client records.
Bioscientific Solutions Ltd can provide valuable insight into survey and monitoring design which can lead to scientifically valid sampling programmes.  From these designs, key data can be recorded in a variety of forms from simple MS Excel spread sheets through to more complex web based GIS systems.  The data must be robust, relevant, secure and accessible for exploratory analyses and statistical evaluations.
Robust statistical methods are vital for accessing changes and differences between data sets and finding key trends that are so often hidden in the data.  Bioscientific Solutions Ltd provides statistical and analytical advice for environmental, science and technical projects.  In addition to these services, Bioscientific Solutions Ltd also provides services in relation to the creation and maintenance of a variety of databases.  Other services include the conversion of data held within various database forms.

  • Biological research design and implementation based on client’s needs (we listen)
  • Robust scientific research conducted in laboratory or field situations
  • Help with logistics or operational experimental/research planning and execution
  • Data collation, filtering and evaluation
  • Database design
  • Univariate statistics
  • Multivariate statistics
  • Significance testing
  • Experimental design
  • Survey and monitoring design
  • Regression modelling
  • Trend analysis
  • Temporal and spatial analysis
  • Environmental indices
  • GIS tools
  • Analytical and graphical outputs