The cell size issue in OpenStreetMap data quality parameter analyses: an interpolation-based approach

Name: The cell size issue in OpenStreetMap data quality parameter analyses: an interpolation-based approach
Keywords: giscience, geographic information science, research, data quality, openstreetmap

Camboim, Silvana; Paiva, Caio; Schmidt, Marcio; Elias, Elias; Bortolini, Everton; Neivas, Guilherme

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ZENODO

Article . 2022

License: CC BY

Data sources: Datacite

ZENODO

Article . 2022

License: CC BY

Data sources: Datacite

The cell size issue in OpenStreetMap data quality parameter analyses: an interpolation-based approach

descriptionPublicationkeyboard_double_arrow_right Article 17 Aug 2022 English Publisher:Zenodo

Authors: Camboim, Silvana; Paiva, Caio; Schmidt, Marcio; Elias, Elias; Bortolini, Everton; Neivas, Guilherme;

doi: 10.5281/zenodo.7004549 , 10.5281/zenodo.7004550

The cell size issue in OpenStreetMap data quality parameter analyses: an interpolation-based approach

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Abstract

Camboim, S., Paiva, C., Schmidt, M., Elias, E., Bortolini, E., & Neivas, G. (2022). The cell size issue in OpenStreetMap data quality parameter analyses: an interpolation-based approach. In: Minghini, M., Liu, P., Li, H., Grinberger, A.Y., & Juhász, L. (Eds.). Proceedings of the Academic Track at State of the Map 2022, Florence, Italy, 19-21 August 2022. Available at https://zenodo.org/communities/sotm-22

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Keywords

giscience, geographic information science, research, data quality, openstreetmap

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