In ArcGIS AllSource, you can create the charts described below that visualize various characteristics and relationships in raster data.
Visualize change over time or distance
Chart | Description |
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Use temporal profiles to visualize change over time for variables, bands, or values from other dimensions simultaneously. | |
Use dimension profiles to visualize change along a vertical dimension, such as depth or height, using a multidimensional raster dataset with a z-dimension. | |
Use surface profiles to visualize change in values, such as elevation or surface temperature, over distance. | |
Use the Pixel Time Series Change Explorer to model CCDC or LandTrendR results for individual pixels in a multidimensional raster. |
Analyze the spectral signature of different features in imagery
Chart | Description |
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Use spectral profiles to select areas of interest or ground features on the image and review the spectral information for all bands. |
Visualize distributions and frequency
Chart | Description |
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Use image histograms to visualize the distribution of pixel values for a band by grouping the image's dynamic range into bins and measuring the frequency of those groups. |
Visualize distributions in categorical data
Chart | Description |
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Use image bar charts to visualize and compare the distribution of categorical data in thematic raster datasets. |