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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:

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.

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
• Demographic data analysis, population estimation, Leslie matrices, life table analysis, survivorship curves
• Hypothesis testing, regression analysis, analysis of variance (ANOVA).
• Time series analysis, repeated measures
• Multivariate statistics, e.g. principal components analysis, cluster analysis.
• Simulation modeling (steady-state, time series)
• Analysis of radio and satellite telemetry data, species distribution modeling, multi-species habitat analysis, species richness mapping