Literature review of mobile spatial data collection and related to reality as a basis for the geomatics applications

Abstract

The evolution of new information communication strategies has been aided by the development of new technology, devices, and applications over the last two decades. The utilization of digital media platforms, ubiquitous technologies, and technologies based on spatial data has blurred the lines between virtual and physical locations, with access via digital devices, particularly mobile devices. This paper aims to review the mobile spatial data MSD collection literature and related empirical approaches worldwide and demonstrates how researchers have analysed human mobility utilizing smartphone-GPS sensors, and call detail records CDRs spatial data collection methods. We offered an in-depth analysis of 129 publications from several databases that exhibit relevant solutions or prototypes, examining their emphasis areas, design aims, and contributions to design and approach. The article argued the techniques of mobile spatial data collection, processing, and technology applications and summarized the outcomes of articles correlated with Urban Transportation Modem, urban spatial data, and public health and infection domains over recent decades. The paper is concluded that mobile spatial data enables planners, policymakers, and stakeholders to analyse, specify, and customize crucial information to help and support decision-making. finally, it is possible to integrate the newest information and technology fields such as machine learning and artificial intelligence to gain more accurate features in estimating, predicting and studying several phenomena whether natural, socioeconomic, environmental, etc. Also, the article involves highlights the benefits and drawbacks of each spatial data collection technique.