Teaching students to develop GIS applications
DOI:
https://doi.org/10.25726/w0687-1762-2053-oKeywords:
user interface, SwiftUI, MapKit, GIS, spatial representationAbstract
Mobile GIS applications are becoming more and more complex, as the tasks they solve are. A typical GIS application should include elements such as artificial intelligence, pattern recognition or machine learning, relational or non-relational databases, spatial representation and reasoning. Companies such as Google and Apple are developing new technologies related to the development of mobile applications. For example, Apple introduced a new technology called SwiftUI at WWDC2019 and WWDC2020 in 2019, which aims to reduce the complexity of mobile application development and allows integrating technologies such as Mapkit to represent spatial information. This paper presents studies of the advantages of using SwiftUI to integrate Mapkit as a basis for spatial representation to facilitate the development of mobile GIS applications. Information technologies have a wide variety of applications in various fields of science. For example, artificial intelligence and machine learning are technologies that are beginning to be widely used in mobile applications. The purpose of this work is to investigate ways to develop mobile applications that can perform the presentation and calculation of information in accordance with the requirements.
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