The Value variable, which contains the value of the grouping field (Morning, Afternoon, Evening, or Night).These rows are input to the Directional Distribution (Standard Deviational Ellipse) tool.
The Row Selection variable containing the selected rows for a unique crime period.This field is used as the grouping field to make the selection, and the selected rows are used to create an output standard deviational ellipse. It contains the field Crime_Peri (crime period), which is the time of day the incident occurred (the strings Morning, Afternoon, Evening, and Night). The Input Feature Class variable is a feature class containing vandalism incident points. In the image below, the model creates a deviational ellipse for theft incidents during different periods of the day-morning, afternoon, evening, and night-to detect an underlying pattern of crime. The Value variable, which contains the name of the feature (based on the grouping field) used as an inline variable in the output name of the Output Table variable.Selected feature (connected as input to the Zonal Statistics As Table tool).
The Iterate Feature Selection tool has two outputs: In this example, the name of the hurricane has been used as a grouping field to make the selection, and the selected feature is used as the input for the Zonal Statistics As Table tool to generate an output table with statistics on the land cover destroyed during the hurricanes' landfall. The Input Raster variable is a land-cover raster. The Input Feature variable is a feature class of five Atlantic hurricane paths with a 100-meter buffer around it. In the image below, the model calculates how much of the East Coast land-cover map area was destroyed by a 100-meter swath of five category 1 hurricanes. Match the criteria set in the Make Table View tool. The Get Count tool checks to see if there are any selections that Offers surrounding a particular block group. In which the population is less than a threshold value for example, a business trying to reach a set population value for coupon Of interest, calculates its total population, and makes a layer In the image below, the model selects all the block groups that share a boundary with an area
The output of For is used as the Buffer Distance parameter in the Buffer tool and in the output name as inline variable substitution. In the image below, the For iterator iterates from a value of 500 to a value of 2000, increasing by increments of 500. Iterators enable batch processing and help repeat a process or set
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