FREE Esri Technical Analysis & Visualization Questions and Answers
Which tool in ArcGIS Pro would you use to identify clusters of high and low values in spatial data?
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.
Which visualization method is most appropriate for displaying a continuous surface of elevation data?
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.
Which of the following are examples of spatial analysis tools in ArcGIS?
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.
What does the "Symbology" pane in ArcGIS Pro allow you to do?
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.
Which color scheme is most appropriate for displaying population density on a map?
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.