A guide for evaluating and reporting map data quality: Affirming Shao et al. "Overselling overall map accuracy misinforms about research reliability".


Journal

Landscape ecology
ISSN: 0921-2973
Titre abrégé: Landsc Ecol
Pays: Netherlands
ID NLM: 101534628

Informations de publication

Date de publication:
01 Jun 2020
Historique:
entrez: 22 3 2021
pubmed: 23 3 2021
medline: 23 3 2021
Statut: ppublish

Résumé

Landscape ecologists often use thematic map data in their research. Greater familiarity with thematic map accuracy assessment protocols will enhance appropriate use and interpretation of map quality data. Provide an overview of thematic map accuracy assessment protocols and simple, non-quantitative guidelines to assess the quality of the thematic map data that landscape ecologists use in their research. Synthesis and interpretation of salient literature on map accuracy assessment. Landscape ecologists can adopt three simple rules to improve their use and interpretation of map data: 1) use the map quality data only if the accuracy assessment protocols adhere to rigorous, well-established standards for the sampling design, response design, and analysis; 2) focus on class-specific accuracy via user's and producer's accuracies (or the complementary measures commission and omission error rates); and 3) use the criterion that an accuracy assessment that reports class-specific accuracies accompanied by standard errors is a strong indicator of a rigorous assessment.

Identifiants

pubmed: 33746360
doi: 10.1007/s10980-020-01029-1
pmc: PMC7970508
mid: NIHMS1668055
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1263-1267

Subventions

Organisme : Intramural EPA
ID : EPA999999
Pays : United States

Références

Remote Sens Environ. 2017;191:328-341
pubmed: 31346298

Auteurs

S V Stehman (SV)

SUNY College of Environmental Sciences and Forestry, Syracuse, NY 13210, United States.

J Wickham (J)

Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC 27711, United States.

Classifications MeSH