Geospatial modeling involves the use of spatial data and analytical techniques to create models and simulations that represent real-world geographic phenomena. These models can be used to analyze and predict spatial relationships, patterns, and trends, such as the spread of infectious diseases, traffic patterns, or urban growth. Geospatial modeling often utilizes geographic information systems (GIS) technology to collect, store, manipulate, and visualize spatial data, allowing researchers to gain insights into complex spatial relationships and make informed decisions based on the analysis of spatial data. It is commonly used in various fields such as environmental science, urban planning, natural resource management, and public health.