How is geospatial analysis defined?

Geospatial analysis is defined as the examination of spatial data to understand relationships and patterns. This involves using various techniques and tools to analyze data that has a geographic or spatial component, such as maps, satellite images, and other datasets tied to specific locations. The focus is on understanding how different variables relate to one another in space, which can include analyzing patterns of human activity, natural phenomena, or the distribution of resources.

For instance, geospatial analysis can help identify trends in population distribution, assess environmental changes, or evaluate the impacts of urban development. It utilizes methods like geographic information systems (GIS) to visualize and interpret data effectively, making it a crucial aspect of remote sensing and spatial planning disciplines.

The other choices, while related to geographic studies, do not accurately capture the broader definition of geospatial analysis. Studying landforms pertains more to geology and geomorphology, correcting errors in satellite images focuses specifically on image processing, and evaluating economic factors in land use relates to land economics rather than the comprehensive analysis of spatial data.