Geospatial Data Analysis: The application of operations to manipulate or calculate coordinates and/or related attribute data to solve spatial problems.
Spatial Selection: A geospatial analysis technique that identifies features based on spatial relationships such as adjacency, intersect, containment, and distance.
Adjacency: Identifies features that share a boundary segment with the input feature.
Intersect: Identifies features that touch or overlap the input feature.
Containment: Identifies features that are completely within or completely contain the input feature.
Distance: Identifies features that are within a set distance of an input feature.
Buffer: A region that is less than or equal to a specified distance from one or more input features, used to identify areas or objects inside or outside the threshold distance.
Dissolve Operation: Combines similar features within a data layer based on a shared attribute, merging them into a single feature.
Overlay Operations: Involves combining spatial and attribute data from two or more spatial data layers, stacking the data to find overlapping areas.
Clip Operation: An overlay operation that defines the area for which features will be output based on a clipping polygon, similar to using a cookie-cutter on dough.
Intersection Operation: Combines data from two or more input layers, but only for regions where all input layers contain data.
Union Operation: An overlay operation that includes all data from all input layers, combining all attributes and geometry without discarding any geographic data.
Vector Overlay: Combining point, line, or polygon geometry and their associated attributes, creating new geometry and a new output geospatial data set.
Sliver Polygons: Small, typically insignificant polygons created when input features have slightly different geometry, often due to different scales or data sources.
Re-project: The process of converting data sets to the same coordinate system to ensure accuracy in overlay operations.