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Relevant bibliographies by topics / Crowdsourced Mapping

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Journal articles

Academic literature on the topic 'Crowdsourced Mapping'

Author: Grafiati

Published: 24 February 2024

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Journal articles on the topic "Crowdsourced Mapping"

1

Soney, Johns. "Crowdsourced Pothole Mapping and Route Navigation." International Journal of Wireless Communications and Network Technologies 8, no. 3 (2019): 21–24. http://dx.doi.org/10.30534/ijwcnt/2019/05832019.

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2

Dodge, Martin, and Rob Kitchin. "Crowdsourced Cartography: Mapping Experience and Knowledge." Environment and Planning A: Economy and Space 45, no. 1 (2013): 19–36. http://dx.doi.org/10.1068/a44484.

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3

Jestico, Ben, Trisalyn Nelson, and Meghan Winters. "Mapping ridership using crowdsourced cycling data." Journal of Transport Geography 52 (April 2016): 90–97. http://dx.doi.org/10.1016/j.jtrangeo.2016.03.006.

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4

Rice, Rebecca M., Ahmad O. Aburizaiza, Matthew T. Rice, and Han Qin. "Position Validation in Crowdsourced Accessibility Mapping." Cartographica: The International Journal for Geographic Information and Geovisualization 51, no. 2 (2016): 55–66. http://dx.doi.org/10.3138/cart.51.2.3143.

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5

Gkeli, Maria, and Chryssy Potsiou. "3D crowdsourced parametric cadastral mapping: Pathways integrating BIM/IFC, crowdsourced data and LADM." Land Use Policy 131 (August 2023): 106713. http://dx.doi.org/10.1016/j.landusepol.2023.106713.

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6

Groß, Simon, Benjamin Herfort, Sabrina Marx, and Alexander Zipf. "Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake." AGILE: GIScience Series 4 (June 6, 2023): 1–11. http://dx.doi.org/10.5194/agile-giss-4-5-2023.

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Abstract. Fast and reliable geographic information is vital in disaster management. In the late 2000s, crowdsourcing emerged as a powerful method to provide this information. Base mapping through crowdsourcing is already well-established in relief workflows. However, crowdsourced post-disaster damage assessment is researched but not yet institutionalized. Based on MapSwipe, an established mobile application for crowdsourced base mapping, a damage assessment approach was developed and tested for a case study after the 2021 Haiti earthquake. First, MapSwipe’s damage mapping results are assessed

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7

McCullagh, M., and M. Jackson. "CROWDSOURCED MAPPING – LETTING AMATEURS INTO THE TEMPLE?" ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W1 (May 22, 2013): 399–432. http://dx.doi.org/10.5194/isprsarchives-xl-1-w1-399-2013.

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8

Pipelidis, Georgios, Omid Moslehi Rad, Dorota Iwaszczuk, Christian Prehofer, and Urs Hugentobler. "Dynamic Vertical Mapping with Crowdsourced Smartphone Sensor Data." Sensors 18, no. 2 (2018): 480. http://dx.doi.org/10.3390/s18020480.

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9

Branion-Calles, Michael, Trisalyn Nelson, and Meghan Winters. "Comparing Crowdsourced Near-Miss and Collision Cycling Data and Official Bike Safety Reporting." Transportation Research Record: Journal of the Transportation Research Board 2662, no. 1 (2017): 1–11. http://dx.doi.org/10.3141/2662-01.

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Official sources of cyclist safety data suffer from underreporting and bias. Crowdsourced safety data have the potential to supplement official sources and to provide new data on near-miss incidents. BikeMaps.org is a global online mapping tool that allows cyclists to record the location and details of near misses and collisions they experience. However, little is known about how the characteristics of near-miss and collision events compare. Further, the question remains whether the characteristics of crowdsourced collision data are similar to those of collision data captured by official insur

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10

Lingua, Federico, Nicholas C. Coops, Valentine Lafond, Christopher Gaston, and Verena C. Griess. "Characterizing, mapping and valuing the demand for forest recreation using crowdsourced social media data." PLOS ONE 17, no. 8 (2022): e0272406. http://dx.doi.org/10.1371/journal.pone.0272406.

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Mapping and valuing of forest recreation is time-consuming and complex, hampering its inclusion in forest management plans and hence the achievement of a fully sustainable forest management. In this study, we explore the potential of crowdsourced social media data in tackling the mapping and valuing of forest recreation demand. To do so, we assess the relationships between crowdsourced social media data, acquired from over 350,000 Flickr geotagged pictures, and demand for forest recreation in British Columbia (BC) forests. We first identify temporal and spatial trends of forest recreation dema

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