Swift UI and Their Integration to MapKit Technology as a Framework for Representing Spatial Information in Mobile Applications

Eduardo Eloy Loza Pacheco, Mayra Lorena Díaz Sosa, Christian Carlos Delgado Elizondo, Miguel Jesús Torres Ruiz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Mobile applications are becoming as complex as the kind of problems we need to solve. A normal GIS application needs to incorporate elements such as artificial intelligence more specifically, pattern recognition or machine learning, relational or non-relational databases, spatial representation, and reasoning. In addition to that, it is necessary to design and develop a mobile application to integrate all these elements. After analysis, planning, and design a company will require to develop a full team of engineers to accomplish an application. On the other hand, universities and other organizations, have additional interests. It is necessary to develop a mobile application to test a hypothesis before a large development project. The necessity is to use a technology that permits the integration of advanced technologies and programming tools in a manageable sense. Companies such as Google and Apple are reducing the gap of learning knowledge. They are developing new technologies. For example, Apple presented in 2019 at WWDC2019 and WWDC2020 a novelty technology called SwiftUI, which aims to reduce the complexity of developing a mobile application and allowing us to integrate technology such as Mapkit to represent spatial information. This work presents the advantages of using SwiftUI to integrate Mapkit as a spatial representation framework to ease the development of GIS mobile development. And focus on the problem solution, such as spatial representation and reasoning, robot planning, content image retrieval, etc.

Idioma originalInglés
Título de la publicación alojadaGIS LATAM - 1st Conference, GIS LATAM 2020, Proceedings
EditoresMiguel Felix Mata-Rivera, Roberto Zagal-Flores, Javier Arellano Verdejo, Hugo Enrique Lazcano Hernandez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas80-91
Número de páginas12
ISBN (versión impresa)9783030598716
DOI
EstadoPublicada - 2020
Evento1st GIS LATAM Conference, GIS LATAM 2020 - Mexico City, México
Duración: 28 sep. 202030 sep. 2020

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1276 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia1st GIS LATAM Conference, GIS LATAM 2020
País/TerritorioMéxico
CiudadMexico City
Período28/09/2030/09/20

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