Environmental Data Management & Visualization
Hydro GeoAnalyst (HGA) is our comprehensive and easy-to-use environmental data management system. HGA integrates customizable database structures used around the world with state-of-the-art tools for data interpretation, statistical analysis, Geographical Information System (GIS) mapping, data charting, and visualizations in two or three dimensions.
Our new Hydro GeoAnalyst Plus (HGA+) integrates geochemistry features of AquaChem into the data management and extensibility capabilities of HGA.
Why Choose Hydro GeoAnalyst
With Hydro GeoAnalyst, environmental professionals, geoscientists and government agencies have all the tools required to effectively and efficiently manage large volumes of data, and make informed decisions about environmental and water resources.
HGA consists of an application that connects to an SQL Server database and facilitates data management, analysis and interpretation, and collaboration through various purpose-built modules. HGA helps you work with large volumes of environmental data without requiring in-depth knowledge of SQL. HGA+ extends these capabilities by adding modules specifically designed to work with geochemical data and a console for use R to get even more out of your data.
Improved Data Quality
Hydro GeoAnalyst standardizes your organization and intelligently validates all data upon import, ensuring it meets quality requirements for reliable analyses and informed decision making.
- Hydro GeoAnalyst helps you kick start your project by providing an environmental database template that consist of tables and fields for common environmental data types, common well profile templates and report templates.
- Increase efficiency and achieve cost savings with streamlined and automated data collection, data import, analysis and reporting workflows.
- Unlike other commercial environmental data management software packages, Hydro GeoAnalyst gives you complete control over your database, allowing you to fully customize the database structure to accommodate project needs and scale your database as data volumes grow.