The Geospatial Crowd

Emerging Trends and Challenges in Crowdsourced Spatial Analytics

Bibliographic Data

ID22033573
AuthorsSultan Alamri (0000-0001-8429-6598, Saudi Electronic University, corresponding author)
Year2024
Volume13
Issue6
Pages168
Publication date2024-05-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi13060168
OpenAlexW4398171323
LanguageEN
Citations received3
References cited79

Crowdsourced spatial analytics is a rapidly developing field that involves collecting and analyzing geographical data, utilizing the collective power of human observation. This paper explores the field of spatial data analytics and crowdsourcing and how recently developed tools, cloud-based GIS, and artificial intelligence (AI) are being applied in this domain. This paper examines and discusses cutting-edge technologies and case studies in different fields of spatial data analytics and crowdsourcing used in a wide range of industries and government departments such as urban planning, health, transportation, and environmental sustainability. Furthermore, by understanding the concerns associated with data quality and data privacy, this paper explores the potential of crowdsourced data while also examining the related problems. This study analyzes the obstacles and challenges related to “geospatial crowdsourcing”, identifying significant limitations and predicting future trends intended to overcome the related challenges

Analytics · Crowdsourcing · Data science · Geography · Geospatial analysis · Remote sensing · World Wide Web · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis

Tools

Open DOIOpen Access