Delving into Environmental Data Science
IN THIS CHAPTER
Modeling environmental-human interaction
Applying statistical modeling to natural resources in the raw
Predicting for a location-dependent environmental phenomenon
Because data science can be used to successfully reverse-engineer business growth and increase revenues, many of its more noble applications often slide by, completely unnoticed. Environmental data science, one such application, is the use of data science techniques, methodologies, and technologies to address or solve problems that are related to the environment. This particular data science falls into three main categories — environmental intelligence, natural resource modeling, and spatial statistics — to predict environmental variation. In this chapter, I discuss each type of environmental data science and how it’s being used to make a positive impact on human health, safety, and the environment.
Modeling Environmental-Human Interactions with Environmental Intelligence
The purpose of environmental intelligence (EI) is to convert raw data into insights that can be used for data-informed decision making about matters that pertain to environmental-human ...