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Fabiana I Paez

Biographic Data

ID6746684
NAMEFabiana I Paez
GIVEN NAMESFabiana I
FAMILY NAMEPaez
SIGNATUREPAEZ F I
AFFILIATIONSGeorge Mason University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2018
H-INDEX1
  • Quality Assessment and Accessibility Mapping in an Image-Based Geocrowdsourcing Testbed

    Matthew Rice, Matthew T Rice et al.•ARTICLE•Cartographica The International…•2018

    Geocrowdsourcing is a significant new focus area in mapping for people with disabilities. It utilizes public data contributions that are difficult to capture with traditional mapping workflows. Along with the benefits of geocrowdsourcing are critical drawbacks, including reliability and accuracy. A geocrowdsourcing testbed has been designed to explore the dynamics of geocrowdsourcing and quality assessment and produce temporally relevant navigati…

  • Crowdsourcing techniques for augmenting traditional accessibility maps with transitory obstacle information

    Matthew Rice, R D Jacobson et al.•ARTICLE•Cartography and Geographic…•2013•Cited by: 1•References: 8

    One of the most scrutinized contemporary techniques for geospatial data collection and production is crowdsourcing. This inverts the traditional top-down geospatial data production and distribution methods by emphasizing on the participation of the end user or community. The technique has been shown to be particularly useful in the domain of accessibility mapping, where it can augment traditional mapping methods and systems by providing informati…

  • Crowdsourcing techniques for augmenting traditional accessibility maps with transitory obstacle information

    Matthew Rice, R D Jacobson et al.•ARTICLE•Cartography and Geographic…•2013•Cited by: 1•References: 8

    One of the most scrutinized contemporary techniques for geospatial data collection and production is crowdsourcing. This inverts the traditional top-down geospatial data production and distribution methods by emphasizing on the participation of the end user or community. The technique has been shown to be particularly useful in the domain of accessibility mapping, where it can augment traditional mapping methods and systems by providing informati…

  • Crowdsourcing techniques for augmenting traditional accessibility maps with transitory obstacle information

    Matthew Rice, R D Jacobson et al.•ARTICLE•Cartography and Geographic…•2013•Cited by: 1•References: 8

    One of the most scrutinized contemporary techniques for geospatial data collection and production is crowdsourcing. This inverts the traditional top-down geospatial data production and distribution methods by emphasizing on the participation of the end user or community. The technique has been shown to be particularly useful in the domain of accessibility mapping, where it can augment traditional mapping methods and systems by providing informati…

  • Quality Assessment and Accessibility Mapping in an Image-Based Geocrowdsourcing Testbed

    Matthew Rice, Matthew T Rice et al.•ARTICLE•Cartographica The International…•2018

    Geocrowdsourcing is a significant new focus area in mapping for people with disabilities. It utilizes public data contributions that are difficult to capture with traditional mapping workflows. Along with the benefits of geocrowdsourcing are critical drawbacks, including reliability and accuracy. A geocrowdsourcing testbed has been designed to explore the dynamics of geocrowdsourcing and quality assessment and produce temporally relevant navigati…

Artificial Intelligence (2 works) · Automated Road and Building Extraction (2 works) · Computer Science (2 works) · Database (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Obstacle (2 works) · Workflow (2 works) · World Wide Web (2 works) · Cartography (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae