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Local raster operations
Changing the values of individual raster cells.
Zonal statistics
Calculates statistics on values of a raster within the zones of another dataset.
Map algebra
Combining map layers using mathematical or statistical operations, also known as raster map overlay.
Neighborhood raster operations
Spatial filtering used to improve the quality or appearance of raster grids.
Low pass/frequency filtering
Used to smooth out local details and emphasize general trends.
High pass/frequency filtering
Used to enhance edges and extreme values.
Slope
In 2D, slope represents the Y differences divided by the X differences between two points; in 3D, it's calculated using a raster cell's neighborhood.
Aspect
The direction that slope faces, measured in degrees.
DEM
Digital Elevation Model; a type of raster data representation of Earth's surface that provides elevation information.
Hill shading
Drawing shadows on a map to simulate sunlight over terrain, creating a 3D effect.
Triangulated Irregular Networks (TINs)
A type of GIS data representing geographic spaces as contiguous triangles, typically in 3D vector format.
Spatial interpolation
Using points with known values to estimate values at other points.
Nearest-neighbor interpolation
Assumes that an unknown point shares the values of its nearest control point.
Thiessen polygons
Voronoi Diagrams; each polygon contains one point, closer than any point in other polygons.
Inverse distance weighting
Assumes a variable's value at an unsampled point is more influenced by nearby known points.
Mode
Most common value in a dataset.
Median
The middle value of an ordered dataset.
Mean
Sum of all values divided by the total number of values in the dataset.
Standard deviation
Shows how much the data varies around the mean.
Statistical distributions
Used to model spatial variability of geographic .
Centroid/mean center
Measure of the center of a geographic distribution, also known as the center of mass.
Median center
Minimizes the distance to all other features as a measure of central tendency.
Standard distance
Measures how features are concentrated or dispersed around the mean center.
Spatial Pattern; Random
Neither clustered nor dispersed.
Spatial Pattern; Clustered
Points are concentrated in groups.
Spatial Pattern; Dispersed
Points are scattered across the distribution and not located nearby each other.
Average nearest neighbor analysis
Describes the overall distribution of a set of points.
Spatial autocorrelation
Measures spatial dependency of geographic data.
Tobler’s First Law of Geography
"Everything is related to everything else, but near things are more related than distant things."
Moran’s I test
Measures overall spatial autocorrelation in a GIS dataset with values from -1 to +1.
Nodes
Represent points or locations in a GIS network, such as intersections.
Edges
Represent the connections or paths between nodes in a GIS network.
Shortest path analysis
Determines the least cost path between nodes using edge weights.
Geocoding
The process of finding a geographic location from an address or text.
Visual hierarchy
Organizes the content of a map to visually communicate order and importance.
Visual cues that create visual hierarchy
Size, position, figure-ground, and color that help in quickly perceiving important information.
Visual variables
Size, shape, color, shade, and pattern elements used in map design.
Figure-ground
Differentiates between objects that stand out (figures) and the background (ground).
Color perception
The human brain perceives colors differently based on context; color choice is crucial.
Colorblind-safe color schemes
Color schemes that are accessible for individuals with red-green color blindness.
Critical map reading
Analyze maps beyond surface level, considering the author's intent and choices.
Ethical implications of geospatial technology
Concerns about personal data trails and potential misuse of information.
GIS code of ethics
Guidelines concerning obligations to society, employers, colleagues, and individuals in society.