The Hot Spot Analysis tool identifies statistically significant clusters of high and low values in spatial data using the Getis-Ord Gi* statistic.
Kernel Density estimates the density of features over a surface.
Spatial Join combines attributes based on spatial relationships.
Buffer creates areas around features but does not analyze clusters.
Hillshade visualizes elevation by simulating shadows based on a light source, giving a 3D appearance to elevation data. Graduated symbols are for numerical data points. Heat maps display density, not continuous surfaces. Unique values show categorical differences, not elevation.
Please select 3 correct answers
Intersect, Dissolve, and Clip are all tools used for spatial analysis.
Feature to Raster is a conversion tool, not directly part of spatial analysis, though it supports workflows involving raster data.
The Symbology pane in ArcGIS Pro is used to style layers by defining colors, patterns, or symbols based on attribute values. Other options like spatial joins and geoprocessing are done through their respective tools.
A sequential color scheme is used to represent continuous data with an ordered progression (e.g., low to high values, such as population density).
Diverging schemes are used for data with a meaningful midpoint (e.g., temperature deviations).
Categorical schemes are for nominal data, like land use categories.
