Geospatial artificial intelligence embeds geospatial data and artificial intelligence to improve business efficiency across many domains. Here is an insight into the key concepts surrounding GeoAI.

GIS uses geospatial data to represent the geographic terrains and helps businesses visualize various objects on the maps and take informed decisions. Technological progress is now improving the possibilities of combining artificial intelligence in various GIS functions and deriving highly accurate results. This new technology is called Geospatial artificial intelligence (geospatial AI) and is gaining acceptance in various industries such as defence, agriculture, healthcare, transportation, insurance, and even government authorities. It improves operational efficiency by leveraging critical location intelligence effectively.

The GeoAI industry is growing rapidly and is projected to reach $550 billion USD by 2025.
The demand is also expected to increase in the near future because of the exciting possibilities offered by artificial intelligence for business. In this article, let’s examine more about this emerging field and its various applications.

Overview of geospatial artificial intelligence

AI GIS has three major components: GeoAI, AI for GIS, and GIS for AI.

GeoAI – This spatial data processing algorithm integrates AI and GIS. It comprises two parts: Geospatial Deep Learning and Geospatial Machine Learning. Using GeoAI, users can solve a number of spatial application problems such as spatial classification, spatial clustering, and spatial regression.

Geospatial Deep Learning identifies the space and time features of geospatial data and constructs complex features efficiently. It includes image analysis and 3D data analysis and simplifies data-driven earth research.

AI for GIS – This refers to leveraging artificial intelligence to enhance the experience of using GIS software. It improves the intelligence of the software through AI survey and mapping, AI attribute collecting, AI interaction, and AI cartography. AI attribute collection helps users to identify and classify the multi-source targets like video images, while AI survey and mapping provides lower cost and also other indoor mapping solutions. AI cartography provides simple method mapping and reduces the need for manual mapping. AI interaction is a means to provide rich application interaction that includes gestures, voice, and body.

GIS for AI – Here the visualization and analysis capabilities of GIS are used to conduct spatial visualization and also further analysis of AI results. GIS empowers artificial intelligence by processing and mining data using spatial analysis and spatial visualization. Some of the map visualization applications like city component management, traffic flow monitoring, etc provide the decision makers an intuitive method for information expression. By mining and processing the AI extraction results, companies can enable vehicle tracking and geo-fence alerts.

Artificial intelligence is transforming the GIS domain in ways never thought of before. It helps to develop innovative GIS systems that are more effective to solve the current issues in GIS applications. AI also expands the capabilities of location intelligence by embedding AI technologies like language processing and voice recognition in spatial analysis. To meet the diverse needs of GIS applications, artificial intelligence has to be deeply ingrained into the GIS software and into the various components including Desktop GIS, Component GIS, Server GIS, etc.

Summary

Geospatial data is growing in complexity and volume. Artificial intelligence can help to process the vast data and also generate useful insights. Companies can pair imagery with artificial intelligence and derive accurate insights for decision making. The future belongs to GeoAI. It integrates artificial intelligence, data mining, and spatial science to extract relevant information from spatial big data. This brings tremendous possibilities for business opportunities to increase their competitiveness by leveraging location intelligence in decision-making.
SBL is a pioneer in the field of GeoAI. Our cutting-edge GIS solutions integrate artificial intelligence and spatial technology seamlessly to provide you with the best results. Get in touch with our GIS division to know more.