Ever wondered if you should learn a programming language? If so, stick around. In this article, my goal is to present a high-level view of two languages I have found useful in my forestry career for automating repetitive tasks — R and Python. My hope is that someone may have […]
Harvest scheduling is a resource planning process aimed at deciding what areas of the forest (i.e.; stands) to harvest and when. On a small scale, Forest Managers may simply rely on experience, memory, and/or field notes when planning harvests. However, on a larger scale, this is inefficient and highly frowned […]
In 1991, the USDA Forest Service, Southeastern Forest Experiment Station created a set of stem-profile taper models for 58 southern species and species groups. The Research Paper, known as SE-282, can be downloaded here. The research demonstrates how profile models are used to “predict stem diameter at any height” and […]
Data can come from internal or external sources. In many cases, companies need access to data that is not provided by the ongoing operation of the business. For example, forestry businesses may rely on products and applications developed using regional timber prices, historical weather patterns, location-based services, or market indices. […]
Review of Discounted Cash Flow analysis using Excel and Python Pandas library.