Artykuły w czasopismach na temat „Crowdsourced Mapping”
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Soney, Johns. "Crowdsourced Pothole Mapping and Route Navigation". International Journal of Wireless Communications and Network Technologies 8, nr 3 (15.05.2019): 21–24. http://dx.doi.org/10.30534/ijwcnt/2019/05832019.
Pełny tekst źródłaDodge, Martin, i Rob Kitchin. "Crowdsourced Cartography: Mapping Experience and Knowledge". Environment and Planning A: Economy and Space 45, nr 1 (styczeń 2013): 19–36. http://dx.doi.org/10.1068/a44484.
Pełny tekst źródłaJestico, Ben, Trisalyn Nelson i Meghan Winters. "Mapping ridership using crowdsourced cycling data". Journal of Transport Geography 52 (kwiecień 2016): 90–97. http://dx.doi.org/10.1016/j.jtrangeo.2016.03.006.
Pełny tekst źródłaRice, Rebecca M., Ahmad O. Aburizaiza, Matthew T. Rice i Han Qin. "Position Validation in Crowdsourced Accessibility Mapping". Cartographica: The International Journal for Geographic Information and Geovisualization 51, nr 2 (styczeń 2016): 55–66. http://dx.doi.org/10.3138/cart.51.2.3143.
Pełny tekst źródłaGkeli, Maria, i Chryssy Potsiou. "3D crowdsourced parametric cadastral mapping: Pathways integrating BIM/IFC, crowdsourced data and LADM". Land Use Policy 131 (sierpień 2023): 106713. http://dx.doi.org/10.1016/j.landusepol.2023.106713.
Pełny tekst źródłaGroß, Simon, Benjamin Herfort, Sabrina Marx i Alexander Zipf. "Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake". AGILE: GIScience Series 4 (6.06.2023): 1–11. http://dx.doi.org/10.5194/agile-giss-4-5-2023.
Pełny tekst źródłaMcCullagh, M., i M. Jackson. "CROWDSOURCED MAPPING – LETTING AMATEURS INTO THE TEMPLE?" ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W1 (22.05.2013): 399–432. http://dx.doi.org/10.5194/isprsarchives-xl-1-w1-399-2013.
Pełny tekst źródłaPipelidis, Georgios, Omid Moslehi Rad, Dorota Iwaszczuk, Christian Prehofer i Urs Hugentobler. "Dynamic Vertical Mapping with Crowdsourced Smartphone Sensor Data". Sensors 18, nr 2 (6.02.2018): 480. http://dx.doi.org/10.3390/s18020480.
Pełny tekst źródłaBranion-Calles, Michael, Trisalyn Nelson i 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, nr 1 (styczeń 2017): 1–11. http://dx.doi.org/10.3141/2662-01.
Pełny tekst źródłaLingua, Federico, Nicholas C. Coops, Valentine Lafond, Christopher Gaston i Verena C. Griess. "Characterizing, mapping and valuing the demand for forest recreation using crowdsourced social media data". PLOS ONE 17, nr 8 (11.08.2022): e0272406. http://dx.doi.org/10.1371/journal.pone.0272406.
Pełny tekst źródłaXu, Shan, Bin Zou, Yan Lin, Xiuge Zhao, Shenxin Li i Chenxia Hu. "Strategies of method selection for fine-scale PM<sub>2.5</sub> mapping in an intra-urban area using crowdsourced monitoring". Atmospheric Measurement Techniques 12, nr 5 (28.05.2019): 2933–48. http://dx.doi.org/10.5194/amt-12-2933-2019.
Pełny tekst źródłaNelson, Trisalyn, Avipsa Roy, Colin Ferster, Jaimy Fischer, Vanessa Brum-Bastos, Karen Laberee, Hanchen Yu i Meghan Winters. "Generalized model for mapping bicycle ridership with crowdsourced data". Transportation Research Part C: Emerging Technologies 125 (kwiecień 2021): 102981. http://dx.doi.org/10.1016/j.trc.2021.102981.
Pełny tekst źródłaWang, Gang, Bolun Wang, Tianyi Wang, Ana Nika, Haitao Zheng i Ben Y. Zhao. "Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services". IEEE/ACM Transactions on Networking 26, nr 3 (czerwiec 2018): 1123–36. http://dx.doi.org/10.1109/tnet.2018.2818073.
Pełny tekst źródłaLee, Ju Young, Sherrie Wang, Anjuli Jain Figueroa, Rob Strey, David B. Lobell, Rosamond L. Naylor i Steven M. Gorelick. "Mapping Sugarcane in Central India with Smartphone Crowdsourcing". Remote Sensing 14, nr 3 (2.02.2022): 703. http://dx.doi.org/10.3390/rs14030703.
Pełny tekst źródłaCho, Minwoo, Kitae Kim, Soohyun Cho, Seung-Mo Cho i Woojin Chung. "Frequent and Automatic Update of Lane-Level HD Maps with a Large Amount of Crowdsourced Data Acquired from Buses and Taxis in Seoul". Sensors 23, nr 1 (31.12.2022): 438. http://dx.doi.org/10.3390/s23010438.
Pełny tekst źródłaGrove, Nicole Sunday. "The cartographic ambiguities of HarassMap: Crowdmapping security and sexual violence in Egypt". Security Dialogue 46, nr 4 (sierpień 2015): 345–64. http://dx.doi.org/10.1177/0967010615583039.
Pełny tekst źródłaRuggiano, Nicole, Tish Winton, Jane Daquin, Zhe Jiang, Monica Herzog i Jeff Gray. "THE POTENTIAL OF CROWDSOURCED ASSET MAPPING TECHNOLOGIES FOR SUPPORTING DEMENTIA CAREGIVERS". Innovation in Aging 7, Supplement_1 (1.12.2023): 534. http://dx.doi.org/10.1093/geroni/igad104.1753.
Pełny tekst źródłaDarmody, Aron, Mujde Yuksel i Meera Venkatraman. "The work of mapping and the mapping of work: prosumer roles in crowdsourced maps". Journal of Marketing Management 33, nr 13-14 (17.07.2017): 1093–119. http://dx.doi.org/10.1080/0267257x.2017.1348384.
Pełny tekst źródłaNagaraj, Abhishek. "Does Open Data Spur Online Communities? Evidence from Crowdsourced Mapping". Academy of Management Proceedings 2017, nr 1 (sierpień 2017): 13110. http://dx.doi.org/10.5465/ambpp.2017.13110abstract.
Pełny tekst źródłaWijaya, Benny, Kun Jiang, Mengmeng Yang, Tuopu Wen, Xuewei Tang i Diange Yang. "Crowdsourced Road Semantics Mapping Based on Pixel-Wise Confidence Level". Automotive Innovation 5, nr 1 (29.01.2022): 43–56. http://dx.doi.org/10.1007/s42154-021-00173-x.
Pełny tekst źródłaPotsiou, C., N. Doulamis, N. Bakalos, M. Gkeli i C. Ioannidis. "INDOOR LOCALIZATION FOR 3D MOBILE CADASTRAL MAPPING USING MACHINE LEARNING TECHNIQUES". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences VI-4/W1-2020 (3.09.2020): 159–66. http://dx.doi.org/10.5194/isprs-annals-vi-4-w1-2020-159-2020.
Pełny tekst źródłaCahyono, Ari. "STUDI NAMA GEOGRAFI MELALUI LAYANAN PEMETAAN URUNDAYA DI DESA GIRIPURWO, PURWOSARI, GUNUNGKIDUL D.I. YOGYAKARTA". Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 18, nr 2 (1.11.2018): 105–14. http://dx.doi.org/10.21009/spatial.182.04.
Pełny tekst źródłaVahidi, Hossein, Brian Klinkenberg, Brian Johnson, L. Moskal i Wanglin Yan. "Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and Very High Resolution Optical Remotely Sensed Data: A Template Matching-Based Approach". Remote Sensing 10, nr 7 (18.07.2018): 1134. http://dx.doi.org/10.3390/rs10071134.
Pełny tekst źródłaPajarito, Diego, i Michael Gould. "Mapping Frictions Inhibiting Bicycle Commuting". ISPRS International Journal of Geo-Information 7, nr 10 (3.10.2018): 396. http://dx.doi.org/10.3390/ijgi7100396.
Pełny tekst źródłaSun, Y., A. Kruspe, L. Meng, Y. Tian, E. J. Hoffmann, S. Auer i X. X. Zhu. "TOWARDS LARGE-SCALE BUILDING ATTRIBUTE MAPPING USING CROWDSOURCED IMAGES: SCENE TEXT RECOGNITION ON FLICKR AND PROBLEMS TO BE SOLVED". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (13.12.2023): 225–32. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-225-2023.
Pełny tekst źródłaRoelandt, N., P. Aumond i L. Moisan. "CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (6.08.2022): 387–93. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-387-2022.
Pełny tekst źródłaZhou, Mu, Qiao Zhang, Zengshan Tian, Yiyao Liu i Zhenyuan Zhang. "Simultaneous pathway mapping and behavior understanding with crowdsourced sensing in WLAN environment". Ad Hoc Networks 58 (kwiecień 2017): 160–70. http://dx.doi.org/10.1016/j.adhoc.2016.09.002.
Pełny tekst źródłaHuynh, Trung Dong, Mark Ebden, Matteo Venanzi, Sarvapali Ramchurn, Stephen Roberts i Luc Moreau. "Interpretation of Crowdsourced Activities Using Provenance Network Analysis". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (3.11.2013): 78–85. http://dx.doi.org/10.1609/hcomp.v1i1.13067.
Pełny tekst źródłaQin, H., A. O. Aburizaiza, R. M. Rice, F. Paez i M. T. Rice. "OBSTACLE CHARACTERIZATION IN A GEOCROWDSOURCED ACCESSIBILITY SYSTEM". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (19.08.2015): 179–85. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-179-2015.
Pełny tekst źródłaParés, M. E., D. Garcia i F. Vázquez-Gallego. "MAPPING AIR QUALITY WITH A MOBILE CROWDSOURCED AIR QUALITY MONITORING SYSTEM (C-AQM)". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (25.08.2020): 685–90. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-685-2020.
Pełny tekst źródłaVaz, Eric, i Jamal Jokar Arsanjani. "Crowdsourced mapping of land use in urban dense environments: An assessment of Toronto". Canadian Geographer / Le Géographe canadien 59, nr 2 (9.03.2015): 246–55. http://dx.doi.org/10.1111/cag.12170.
Pełny tekst źródłaZhou, Mu, Qiao Zhang, Yu Wang i Zengshan Tian. "Hotspot Ranking Based Indoor Mapping and Mobility Analysis Using Crowdsourced Wi-Fi Signal". IEEE Access 5 (2017): 3594–602. http://dx.doi.org/10.1109/access.2017.2674798.
Pełny tekst źródłaVenter, Zander S., Oscar Brousse, Igor Esau i Fred Meier. "Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data". Remote Sensing of Environment 242 (czerwiec 2020): 111791. http://dx.doi.org/10.1016/j.rse.2020.111791.
Pełny tekst źródłaCréquit, Perrine, Ghizlène Mansouri, Mehdi Benchoufi, Alexandre Vivot i Philippe Ravaud. "Mapping of Crowdsourcing in Health: Systematic Review". Journal of Medical Internet Research 20, nr 5 (15.05.2018): e187. http://dx.doi.org/10.2196/jmir.9330.
Pełny tekst źródłaLiu, L., B. Zhou i X. Yi. "A PILOT STUDY OF URBAN POI MAPPING USING CROWDSOURCED STREET-LEVEL IMAGERY AND DEEP LEARNING". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022 (1.06.2022): 261–66. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-261-2022.
Pełny tekst źródłaDixon, Barnali, RebeccaA Johns i Amada Fernandez. "The role of crowdsourced data, participatory decision-making and mapping of flood related events". Applied Geography 128 (marzec 2021): 102393. http://dx.doi.org/10.1016/j.apgeog.2021.102393.
Pełny tekst źródłaBrown, Greg, Clive McAlpine, Jonathan Rhodes, Daniel Lunney, Ross Goldingay, Kelly Fielding, Scott Hetherington i in. "Assessing the validity of crowdsourced wildlife observations for conservation using public participatory mapping methods". Biological Conservation 227 (listopad 2018): 141–51. http://dx.doi.org/10.1016/j.biocon.2018.09.016.
Pełny tekst źródłaLwin, May O., Santosh Vijaykumar, Owen Noel Newton Fernando, Siew Ann Cheong, Vajira Sampath Rathnayake, Gentatsu Lim, Yin-Leng Theng, Subhasis Chaudhuri i Schubert Foo. "A 21st century approach to tackling dengue: Crowdsourced surveillance, predictive mapping and tailored communication". Acta Tropica 130 (luty 2014): 100–107. http://dx.doi.org/10.1016/j.actatropica.2013.09.021.
Pełny tekst źródłaHuang, Xiao, Di Yang, Yaqian He, Peder Nelson, Russanne Low, Shawna McBride, Jessica Mitchell i Michael Guarraia. "Land cover mapping via crowdsourced multi-directional views: The more directional views, the better". International Journal of Applied Earth Observation and Geoinformation 122 (sierpień 2023): 103382. http://dx.doi.org/10.1016/j.jag.2023.103382.
Pełny tekst źródłaCheng, Kai, Yanjun Su, Hongcan Guan, Shengli Tao, Yu Ren, Tianyu Hu, Keping Ma, Yanhong Tang i Qinghua Guo. "Mapping China’s planted forests using high resolution imagery and massive amounts of crowdsourced samples". ISPRS Journal of Photogrammetry and Remote Sensing 196 (luty 2023): 356–71. http://dx.doi.org/10.1016/j.isprsjprs.2023.01.005.
Pełny tekst źródłaSchnebele, E., G. Cervone i N. Waters. "Road assessment after flood events using non-authoritative data". Natural Hazards and Earth System Sciences Discussions 1, nr 4 (22.08.2013): 4155–79. http://dx.doi.org/10.5194/nhessd-1-4155-2013.
Pełny tekst źródłaSchnebele, E., G. Cervone i N. Waters. "Road assessment after flood events using non-authoritative data". Natural Hazards and Earth System Sciences 14, nr 4 (28.04.2014): 1007–15. http://dx.doi.org/10.5194/nhess-14-1007-2014.
Pełny tekst źródłaZourlidou, Stefania, Monika Sester i Shaohan Hu. "Recognition of Intersection Traffic Regulations from Crowdsourced Data". ISPRS International Journal of Geo-Information 12, nr 1 (23.12.2022): 4. http://dx.doi.org/10.3390/ijgi12010004.
Pełny tekst źródłaWang, Sherrie, Stefania Di Tommaso, Joey Faulkner, Thomas Friedel, Alexander Kennepohl, Rob Strey i David B. Lobell. "Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning". Remote Sensing 12, nr 18 (11.09.2020): 2957. http://dx.doi.org/10.3390/rs12182957.
Pełny tekst źródłaGardner, Z., P. Mooney, S. De Sabbata i L. Dowthwaite. "Quantifying gendered participation in OpenStreetMap: responding to theories of female (under) representation in crowdsourced mapping". GeoJournal 85, nr 6 (29.06.2019): 1603–20. http://dx.doi.org/10.1007/s10708-019-10035-z.
Pełny tekst źródłaSamsonov, Timofey, Anastasia Shurygina, Mikhail Varentsov, Pavel Kargashin, Yulia Yarynich i Pavel Konstantinov. "Interactive web mapping for urban climate monitoring and research based on reference and crowdsourced observations". Abstracts of the ICA 6 (12.08.2023): 1–2. http://dx.doi.org/10.5194/ica-abs-6-219-2023.
Pełny tekst źródłaEtherington, Thomas. "Mapping uncertain spatial object extents from point samples using fuzzy alpha-shapes". Journal of Spatial Information Science, nr 26 (17.05.2023): 79–98. http://dx.doi.org/10.5311/josis.2023.26.254.
Pełny tekst źródłaKarasov, Oleksandr, Stien Heremans, Mart Külvik, Artem Domnich i Igor Chervanyov. "On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study". Land 9, nr 5 (19.05.2020): 158. http://dx.doi.org/10.3390/land9050158.
Pełny tekst źródłaBrovelli, M. A., i E. Guilbert. "PREFACE – ISPRS WORKSHOP ON COLLABORATIVE CROWDSOURCED CLOUD MAPPING AND GEOSPATIAL BIG DATA (C3M&GBD 2019)". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (5.06.2019): 1493–94. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1493-2019.
Pełny tekst źródłaMascitelli, A., M. Ravanelli, S. Mattoccia, C. Berardocco i A. Mazzoni. "A COMPLETE FOS APPROACH FOR INDOOR CROWDSOURCED MAPPING: CASE STUDY ON SAPIENZA UNIVERSITY OF ROME FACULTIES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (25.08.2020): 361–65. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-361-2020.
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