TITLE:
GeoAI Technologies and Their Application Areas in Urban Planning and Development: Concepts, Opportunities and Challenges in Smart City (Kuwait, Study Case)
AUTHORS:
Abdelkhalek I. Alastal, Ashraf Hassan Shaqfa
KEYWORDS:
Smart City, Geospatial Artificial Intelligence, Machine Learning, Deep Learn-ing, Convolutional Neural Network, Geographic Information Systems
JOURNAL NAME:
Journal of Data Analysis and Information Processing,
Vol.10 No.2,
March
31,
2022
ABSTRACT: Artificial
intelligence has significantly altered many job workflows, hence expanding
earlier notions of limitations, outcomes, size, and prices. GeoAI is a
multidisciplinary field that encompasses computer science, engineering,
statistics, and spatial science. Because this subject focuses on real-world
issues, it has a significant impact on society and the economy. A broad context
incorporating fundamental questions of theory, epistemology, and the scientific method is used to bring artificial intelligence (Al) and
geography together. This connection has the potential to have far-reaching
implications for the geographic study. GeoAI, or the combination of geography with artificial
intelligence, offers unique solutions to a variety of smart city issues. This
paper provides an overview of GeoAI technology, including the definition of
GeoAI and the differences between GeoAI and traditional AI. Key steps to
successful geographic data analysis include integrating AI with GIS and using
GeoAI tools and technologies. Also shown are key areas of applications and models
in GeoAI, likewise challenges to adopt GeoAI methods and technology as well
as benefits. This article also included a case study on
the use of GeoAI in Kuwait, as well as a number of recommendations.