Forest Variables

Decision-ready analytics within your GIS in real time. On demand data science enhances the ability to plan, decide and optimize capital.

Asset Visibility is Essential to Today's Operations

Which stands are the most productive? Are thins being done too late? What returns should we expect from our site prep and planting investments?

More than ever, asset managers need defensible methods for making decisions on where to put dollars into timber. However, organizations find that performing analysis efficiently with consistent results is a significant challenge because:

Analysis is complicated and time consuming and leads to more questions than answers.
Data is unfit for use in analysis.
The data for analysis is scattered and difficult to bring together.
Analysis efforts are one-offs with results which quickly become out of date.
Commercial software options for timber analysis are limited.

A Solid Foundation for Decision Making

Today’s technology provides powerful tools to transform operations but most operations have yet to fully embrace modern technology.

As foresters and computer scientists, we worked to bridge the divide and deliver new analytical capabilities which provide operations transformative value.

Forest Variables (FVs) provide an analytical foundation for an operation to make improved planning, forecasting and financial decisions.
FVs are metrics and numbers like Quadratic Mean Diameter (QMD), statistics, site productivity (site index), inventory completion status, mortality, stocking, volumes, tree height regression, localized tree taper (and more).
FVs are computed in place, within your infrastructure so there are no files to manage.
FVs represent a completely new way of thinking and are predicated on the adoption of modern, cloud-based computing.

Make Decisions with Confidence

In today’s operations efficiency is key. Most don’t have resources for a complicated in house system, or teams of analysts putting weeks into reports.

Working closely with forestry experts and leveraging recent technology advances is a new approach. We can dramatically simplify the delivery of answers to everyone in an organization.

Establish data quality standards within a Web GIS.
Enable automations like acres computations to reduce manual – easy to miss – updates and reduce user input.
Configure spatial dimensions so FVs summarize, query and slice by geographic units such as districts, ownerships or tracts.
Define local conditions such as species taper or local site index functions.
Enable Forest Variables (FVs) to update when input data changes.