Visualize Space Time Cube in 2D and 3D Tools
Visualize Space Time Cube in 2D
How to use Visualize Space Time Cube in 2D Tool in ArcToolbox ArcMap ArcGIS??
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| Visualize Space Time Cube in 2D Tool |
Path to access the tool
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Visualize Space Time Cube in 2D Tool, Utilities Toolset, Space Time Pattern Mining Tools Toolbox
Visualize Space Time Cube in 2D
Visualizes the variables stored in a netCDF cube and the results generated by the Space Time Pattern Mining tools. Output from this tool is a two-dimensional representation uniquely rendered based on the variable and theme chosen.
1. Input Space Time Cube
The netCDF cube that contains the variable to be displayed. This file must have an .nc extension and must have been created using the Create Space Time Cube By Aggregating Points tool.
2. Cube Variable
The numeric variable in the netCDF cube that you want to explore. The cube will always contain the COUNT variable. Any Summary Fields in the cube will also be available if they were included in the cube creation process.
3. Display Theme
The characteristic of the Cube Variable that you want to display. LOCATIONS_WITH_DATA and TRENDS will always be available with every cube. HOT_AND_COLD_SPOT_TRENDS and EMERGING_HOT_SPOT_ANALYSIS_RESULTS will only be available after Emerging Hot Spot Analysis has been run on the selected Cube Variable. NUMBER_OF_ESTIMATED_BINS and LOCATIONS_EXCLUDED_FROM_ANALYSIS will only be available for those Summary Fields that were included in the cube creation process.
· LOCATIONS_WITH_DATA —Displays all locations that contain data for the chosen variable
· TRENDS—The trend of values at each location using the Mann-Kendall statistic
· HOT_AND_COLD_SPOT_TRENDS—The trend of z-scores at each location using the Mann-Kendall statistic
· EMERGING_HOT_SPOT_ANALYSIS_RESULTS—Displays the results of Emerging Hot Spot Analysis for the Cube Variable chosen
· LOCAL_OUTLIER_ANALYSIS_RESULTS—Displays the results of Local Outlier Analysis for the Cube Variable chosen
· PERCENTAGE_OF_LOCAL_OUTLIERS—Displays the total percentage of outliers at each location
· LOCAL_OUTLIER_IN_MOST_RECENT_TIME_PERIOD—Displays all outliers that are present in the most recent time period
· LOCATIONS_WITHOUT_SPATIAL_NEIGHBORS—Displays all locations that have no spatial neighbors and, as a result, are relying on temporal neighbors for analysis
· NUMBER_OF_ESTIMATED_BINS—The number of bins that were estimated for each location
· LOCATIONS_EXCLUDED_FROM_ANALYSIS—The locations that were excluded from analysis because they had empty bins that did not meet the criteria for estimation
4. Output Features
The output feature class results. This feature class will be a two-dimensional map representation of the display variable chosen.
Visualize Space Time Cube in 3D Tool
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| Visualize Space Time Cube in 3D Tool |
Path to access the tool
:
Visualize Space Time Cube in 3D Tool, Utilities Toolset, Space Time Pattern Mining Tools Toolbox
Visualize Space Time Cube in 3D
Visualizes the variables stored in a netCDF cube created with the Space Time Pattern Mining tools. Output from this tool is a three-dimensional representation uniquely rendered based on the variable and theme chosen.
1. Input Space Time Cube
The netCDF cube that contains the variable to be displayed. This file must have an .nc extension and must have been created using the Create Space Time Cube By Aggregating Points tool.
2. Cube Variable
The numeric variable in the netCDF cube that you want to explore. The cube will always contain the COUNT variable. Any Summary Fields in the cube will also be available if they were included in the cube creation process.
3. Display Theme
The characteristic of the Cube Variable that you want to display. VALUE will always contain an option for every cube. ESTIMATED_BINS are only available for the Summary Fields that were included in the cube creation process. HOT_AND_COLD_SPOT_RESULTS will only be available for Cube Variables for which Emerging Hot Spot Analysis has been run. CLUSTER_AND_OUTLIER_RESULTS will only be available for Cube Variables for which Local Outlier Analysis has been run.
· VALUE—The numeric value of the cube variable chosen
· HOT_AND_COLD_SPOT_RESULTS—The statistical significance of each bin based on the space-time hot spot analysis run in Emerging Hot Spot Analysis
· ESTIMATED_BINS —Displays the bins with estimated values
· LOCAL_OUTLIER_RESULTS —The cluster or outlier type (COType) assigned to each bin from the analysis run in Local Outlier Analysis
4. Output Features
The output feature class results. This feature class will be a three-dimensional map representation of the display variable chosen that can be displayed in a 3D scene.
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