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GEOG 3315 - Module 6

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. 

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