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Content Analysis for Digital Tools in Urban Forestry Research, 1998–2023

Description:

This dataset includes three related tables used in to conduct content analysis for a scoping review of how digital tools have been used in urban forestry research published between 1998 and 2023. The main file provides metadata and key variables for the 73 reviewed documents. A second file lists all authors and their affiliations, and a third describes how each study used digital tools—whether to examine structure, function, or temporal dynamics—along with what was measured (such as canopy, species, carbon, or heat). The data were gathered through collaborative inductive and deductive coding and cleaned using standard research tools.

Keyword:

urban forestry , digital tools, deductive coding, inductive coding, and content analysis

Subject:

Urban forestry and Research methods

Creator:

Fry, Matthew, Babino, Rylee, Coles, Ashley R., Alexander, Kaylee P., Williamson, Ben, and Ponette-González, Alexandra G.

Owner:

Kaylee Alexander

Language:

English

Date Uploaded:

08/08/2024

Date Modified:

12/10/2025

Date Created:

2023-06-01 to 2024-05-01

License:

CC BY NC - Allows others to use and share your data non-commercially and with attribution.

Resource Type:

Dataset

Identifier:

https://doi.org/10.7278/S5d-x24s-v2rg