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Analysis and modeling
Statistical analysis, forecasting, spatial methods, and model development grounded in your operational questions and domain knowledge.
Data science
We combine statistical thinking, clear communication, and open-source tools to help organizations make their data useful, understandable, and ready to act on.
Talk to our teamServices
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Statistical analysis, forecasting, spatial methods, and model development grounded in your operational questions and domain knowledge.
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Interactive dashboards, reports, and data applications that help technical and non-technical audiences explore evidence together.
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Open-source analytics in R and Python, with transparent methods, maintainable code, and workflows that hold up over time.
Our team
Analythium brings together environmental statisticians, analytics specialists, and data visualization practitioners. We have worked with public agencies, research groups, and growing organizations where the data is complex and the decisions matter.
We work alongside your subject-matter experts to frame the problem, test the right approaches, and deliver an outcome your team can explain and use.
Selected work
A collaborative initiative that brought ecological models and large spatial datasets together to assess cumulative effects on forests, wildlife, and other values.
View projectTechnical consulting and prototype work covered analysis, session storage, reporting, and cloud deployment for a Shiny application.
View projectA public data platform for exploring habitat condition and disturbance trends across woodland caribou ranges in western Canada.
View project
An adaptive sampling workflow and interactive R software supported spatial estimates of moose abundance and composition while targeting survey effort where predictions were most uncertain.
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We will help you define a practical path from raw information to a useful decision or data product.
Discuss your data challenge