A branch of statistics focused on analyzing environmental data to assess ecological impacts and inform decision-making.

The use of mathematical models to represent ecological systems and predict the effects of environmental changes.

The process of inspecting, cleaning, and modeling data to discover useful information and support decision-making.

The practice of meeting present needs without compromising the ability of future generations to meet theirs.

A systematic process to evaluate the potential effects of a proposed project or action on the environment.

The accuracy and consistency of data over its lifecycle, crucial for reliable analysis.

A framework of statistical techniques used to analyze data and draw conclusions.

Initial tests conducted to evaluate the suitability of data and methods before main analysis.

The graphical representation of data to help convey complex information clearly and effectively.

Guidelines ensuring the responsible collection, analysis, and reporting of data.

The process of correcting or removing inaccurate records from a dataset.

A process where colleagues evaluate each other's work to ensure quality and validity.

An in-depth analysis of a specific instance or example to illustrate a broader principle.

Involving relevant parties in the decision-making process to ensure diverse perspectives are considered.

A document summarizing the findings of data analysis, including interpretations and recommendations.

Origins of data, which can include surveys, sensors, or existing datasets.

The process of choosing appropriate statistical techniques based on research questions and data characteristics.

The act of making sense of data analysis outcomes within the ecological context.

The process of compiling and presenting findings in a structured format for stakeholders.

A plan for effectively conveying information to various audiences.

A method of self-evaluation that encourages critical thinking about one's own experiences and learning.

Software or applications used to create visual representations of data.

The cognitive process of selecting a course of action among multiple alternatives.

Complex methods used for analyzing data that require a strong understanding of statistics.

Metrics used to measure the sustainability of practices or policies.

The effect of human activities or natural events on ecosystems and biodiversity.