Earthfx Incorporated software

SITEFX is a data management system designed for managing, tracking and analyzing complex water systems and environmental monitoring programs. SiteFX can track sample collection, pumping and production data, water chemistry, water levels, surface water and climate data in a single integrated database environment. SiteFX can operate independently, with your existing systems, or as part of the EarthFX Data Centre, a suite of desktop and web based management tools.

Data can be loaded into your database in various ways: Data entry forms. Automated & configurable data importers (lab data, data loggers, production, rainfall, etc). Direct linking to existing systems. New data are stamped with a username and date stamp, important data modifications are automatically backed up. All data is automatically converted to a user-defined consistent naming and unit convention.

The underlying data model ensures ‘referential integrity’, meaning all data must link back to the master list of sample locations — no ‘orphaned’ data. User-defined look-up tables ensure consistency by allowing users to pick from lists (e.g., units) instead of typing ‘free text’. The quality assurance (QA) functions in SiteFX check that the data in the database are robust and ready for analysis.

The Sampling Program Manager is a SiteFX module that ensures a closed loop process, from sampling requirements to sample collection to sample results.

WatChemFX is an add-on to SiteFX that allows you to create graphs that can summarize water quality results and compare analyses from different source areas or different times to detect spatial or temporal trends. Graphs produced by WatChemFX can be analyzed interactively or exported for inclusion in technical reports.

StatsFX is an add-on to SiteFX that allows you to perform statistical analyses of water quality data, such as: Summarize statistical properties of the data. Check whether data are normally or log-normally distributed. Identify outliers in the data. Compute tolerance limits and confidence intervals. Conduct trend analyses on the data.