Assessing experienced tranquillity through natural language processing and landscape ecology measures.

ABSTRACT:

Context

Identifying tranquil areas is important for landscape planning and policy-making. Research demonstrated discrepancies between modelled potential tranquil areas and where people experience tranquillity based on field surveys. Because surveys are resource-intensive, user-generated text data offers potential for extracting where people experience tranquillity.

Objectives

We explore and model the relationship between landscape ecological measures and experienced tranquillity extracted from user-generated text descriptions.

Methods

Georeferenced, user-generated landscape descriptions from Geograph.UK were filtered using keywords related to tranquillity. We stratify resulting tranquil locations according to dominant land cover and quantify the influence of landscape

SUBMITTER: Wartmann FM 

PROVIDER: S-EPMC8550761 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature