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DATA MANAGEMENT

Glenside Ecological Services Limited provides a comprehensive set of data management consulting services for clients in the fields of wildlife and habitat biology.  Glenside staff members and professional associates bring together a variety of skills and areas of specialization from simple data synthesis, summarization and report writing, to the development of extensive relational databases and statistical analyses of complex data sets.  Data management services provided include:

Database Development

Glenside consolidates and compiles data collected from studies of wildlife, habitats and related projects.  Databases designed (or simply optimized) by Glenside are secure, user-friendly, and can be tailored to a wide variety of spreadsheetand database formats (e.g., MS Access, MS Excel, dBase), ensuring convenience and compatibility with the needs of the client.

  • Database design and development in requested format and platform;
  • Error checking and cross validation; graphical plotting and residual examination;
  • Relational database management (e.g. geographic coordinates, habitat variables, vegetation types and wildlife population data);

 

 

 

  • Module/macro design using Visual Basic for Applications (VBA) allowing for specific error handling, new functions, events based on return values and manipulation of data in a recordset on a record-by-record basis;
  • Secure, customized search forms engineered to extract and summarize information in an interactive, simple and intuitive manner;
  • User-friendly, interactive data entry forms for convenient manual input of future data, secure from entry errors and database corruption.

 

Data Summarization and Analyses

In addition to database development, Glenside provides a wide range of analytical services.  Graphical examination of data sets, statistical analysis, and simulation modeling are a few examples of the expertise provided by our personnel.  Working closely with clients, Glenside develops accurate and effective answers to database questions faced by wildlife managers and biologists and perhaps more importantly, addresses the limitations inherent in any data set.

  • A wide variety of descriptive statistics and graphical profiles, exploratory statistics, power analysis
  • Hypothesis testing, regression analysis, analysis of variance (ANOVA).
  • Time series analysis, repeated measures
  • Multivariate statistics, e.g. principal components analysis, cluster analysis.
  • Analysis of radio and satellite telemetry data, species distribution modelling, multi-species habitat analysis, species richness mapping

 

   
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