Cargando…
ISED: Constructing a high-resolution elevation road dataset from massive, low-quality in-situ observations derived from geosocial fitness tracking data
Gaining access to inexpensive, high-resolution, up-to-date, three-dimensional road network data is a top priority beyond research, as such data would fuel applications in industry, governments, and the broader public alike. Road network data are openly available via user-generated content such as Op...
Autores principales: | McKenzie, Grant, Janowicz, Krzysztof |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640242/ https://www.ncbi.nlm.nih.gov/pubmed/29028828 http://dx.doi.org/10.1371/journal.pone.0186474 |
Ejemplares similares
-
Correction: ISED: Constructing a high-resolution elevation road dataset from massive, low-quality in-situ observations derived from geosocial fitness tracking data
por: McKenzie, Grant, et al.
Publicado: (2019) -
Exergames for health and fitness: the roles of GPS and geosocial apps
por: Boulos, Maged N Kamel, et al.
Publicado: (2013) -
Geosocial Dating Applications Mirror the Increase in Sexually Transmitted Diseases
por: ALSING, Kasper Køhler, et al.
Publicado: (2021) -
Environmental health research challenges in Africa: Insights from symposia organized by the ISEE Africa Chapter at ISES-ISEE 2018
por: Koné, Brama, et al.
Publicado: (2019) -
o2geosocial: Reconstructing who-infected-whom from routinely collected surveillance data
por: Robert, Alexis, et al.
Publicado: (2021)