With new technologies such as artificial intelligence, machine learning, and augmented reality emerging every day, the field of geospatial cannot remain untouched. GeoAI, or geospatial artificial intelligence, has received a lot of interest recently. GeoAI is an integration of artificial intelligence and geographic information systems (GIS). This is an evolving field that uses AI techniques such as machine learning (ML) and deep learning (DL) to generate information through the analysis of spatial data and images.
Applications of GeoAI
Geospatial data is vastly spread across many areas such as transportation, smart cities, public health, natural disasters, public safety, and climate change. To work with this data in each field, the geospatial expert uses his AI to facilitate data processing. Here we discuss his GeoAI applications in various fields.
Transportation facilities
One very dynamic field is the traffic field, where the movement of vehicles can change within seconds. Using GeoAI can help identify road traffic conditions, track cargo, avoid obstacles, route large vehicles, map the movement of supply chains, and much more. Moreover, as we move towards the future of self-driving cars, his GeoAI will greatly help in monitoring and analyzing data such as collision risk prediction and traffic monitoring with video analytics.
smart city
GeoAI will play a big role in smart city planning. Smart cities are built by integrating physical and digital layers of infrastructure. The digital layer of infrastructure is supported by information and communication technologies. These technologies rely on structured and unstructured data generated from Earth Observation (EO), wireless sensors, Internet and communications technologies, and more. GeoAI contributes to facilitating the generation of spatial data and information about human-urban dynamics with the help of ML and DL. It enables a better life for all city dwellers, increases the efficiency of city services and functions, and helps meet pressing social, environmental and economic challenges.
defense
In the defense field, GIS data is used to receive orders on the ground and provide maps of the battlefield. GeoAI analyzes map data and helps provide the safest route to avoid enemy attacks. AI analyzes variables and ultimately provides automated geographic results that help save lives.
health care
GeoAI plays an important role in the medical field as location information is part of population and individual health. Health is influenced by the natural environment, built environment, social determinants and climate. GeoAI has two major applications in the medical field. One is public health and the other is precision medicine. Public health deals with large-scale problems related to populations of people, environmental factors, and the genetics that affect them. Precision medicine deals with preventative and therapeutic strategies that take into account individual differences in genetics, environment and lifestyle. By monitoring human behavior and spatial distribution, GeoAI can help predict disease impact.
business marketing
In marketing, with the help of GeoAI, businesses can track consumer behavior and analyze their demands for maximum profit. Unlock critical insights by connecting your business with geospatial data. GeoAI also helps with inventory management by tracking warehouses such as which stores are out of stock and where. By analyzing consumer behavior, businesses can identify where to pull their products.
