Spatial data manipulation refers to the process of organizing, editing, and transforming geographic data in order to extract meaningful information. It involves tasks such as merging datasets, re-projecting coordinates, and creating new variables.
Related terms
Geographic Information System (GIS): GIS is a software tool used for capturing, storing, analyzing, and displaying spatial data. It allows users to manipulate and visualize geographic information effectively.
Attribute Data: Attribute data refers to non-spatial information associated with geographic features. Examples include population numbers or land use categories.
Geospatial Analysis: Geospatial analysis involves examining patterns and relationships within spatially referenced data. It helps identify trends or make predictions based on the geographical context.