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Define a style for points

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When you create a style definition in Location Architect, you can define style properties for points. One way to style points on a map is to divide the point features into groups and style each group with a different color. Alternatively, if grouping based on numeric fields, you can style each group with a different-sized symbol. For example, you may want to use different point colors or sizes to show retailers classified by profit.

Grouping methods

When defining style properties for point features, you must choose the attribute form or metric to use to group them. If the attribute form or metric you choose is numeric, you must also choose a method for grouping your data. If you choose to group your data by categories, your data will be grouped and styled based on a common value for the field you chose for grouping (for example, business types such as retail or wholesale).

If your data has numeric fields, you can choose to group it by number ranges. For this grouping option, you must choose a classification method. Each classification method takes your data and divides it into classes (groups). Classification method options include Equal Interval, Natural Breaks, and Quantile. The value at which a feature is placed into a different class is often referred to as a class break. The way in which class breaks are determined by each grouping method is discussed below.

Equal Interval

With the Equal Interval classification method, the range of all of your data values is divided into equal-sized subranges. With Equal Interval classification, you specify the number of intervals (or subranges), and Esri Maps for MicroStrategy automatically determines how to divide the data. For example, if you specify three classes for a field whose values range from 0 to 300, Esri Maps for MicroStrategy creates three classes with ranges of 0–100, 101–200, and 201–300. Equal Interval is best applied to familiar data ranges, such as percentages and temperature. This method emphasizes the amount of an attribute value relative to other values. For example, it shows that a store is part of the group of stores that make up the top one-third of all sales.

Natural Breaks

Natural Breaks classes are based on natural groupings inherent in the data. Class breaks that best group similar values and that maximize the differences between classes are identified. The features are divided into classes whose boundaries are set where there are relatively big differences in the data values. Natural Breaks classification is good for mapping data values that are not evenly distributed as it places clustered values in the same class.

Quantile

In Quantile classification, each class contains an equal number of features (for example, 10 per class or 20 per class). A quantile classification is well suited to linearly distributed data. It is useful when you want to emphasize the relative position of a feature among other features—for example, to show that a store is in the top quarter of all stores by sales. Quantile classification assigns the same number of data values to each class. There are no empty classes or classes with too few or too many values. Because features are grouped in equal numbers in each class using quantile classification, the resulting map can often be misleading. Similar features can be placed in adjacent classes, or features with widely different values can be put in the same class. You can minimize this distortion by increasing the number of classes.

Use different colors

The style properties you set are saved immediately to the style definition.

  1. In the Style definitions table, choose the attribute form or metric for which you want to define style properties.
  2. In the right pane, press the Point tab if it is not already selected.
  3. From the Choose column to group drop-down menu, choose a column.
  4. If the column you chose does not contain numeric data, do the following:
    1. From the Symbol drop-down menu, click Shapes, and choose the shape you want. Beside Style using, click Colors.
    2. From the Color scheme drop-down menu, choose the desired colors.
    3. Skip to step 8.
  5. If the column you chose contains numeric data, click the Group column values by drop-down arrow and do one of the following:
    • Choose Number ranges to classify values into groups by numeric order and assign a group style.
    • Choose Categories to assign a style to each unique value.
  6. If you chose Number ranges from the Group column values by drop-down menu, do the following:
    1. Click the Symbol drop-down arrow, click Shapes, and choose the shape you want. Beside Style using, click Colors.
    2. From the Classification method drop-down menu, choose the desired grouping method.
    3. Using the Number of groups slider, specify the number of groups to use for the data. You can have between two and seven groups.
    4. Choose the desired colors from the Color ramp drop-down menu. Check the Reverse colors check box to reverse the colors in the selected color ramp. The default color ramps cannot be changed or edited.
  7. If you chose Categories from the Group column values by drop-down menu, do the following:
    1. From the Symbol drop-down menu, click Shapes, and choose the shape you want.
    2. Choose the desired colors from the Color scheme drop-down menu.
  8. Use the Size slider to specify the desired size for the shape.

Use different-sized symbols

The style properties you set are saved immediately to the style definition. A check mark is added to the Points column when changes are made.

  1. In the Style definitions table, choose the attribute form or metric for which you want to define style properties.
  2. In the right pane, click the Point tab if it is not already selected.
  3. From the Choose column to group drop-down menu, choose a column containing numeric data.
  4. From the Group column values by drop-down menu, choose Number ranges.

    This classifies values into groups by numeric order and assigns a group style.

  5. Click the Symbol drop-down arrow and do one of the following:
    • To style your data with an icon, choose a category, and choose the icon you want.
    • To style your data with a shape, click the Symbol drop-down arrow, click Shapes, and choose the shape you want to use.
  6. You will have a Style using choice if you are styling a shape. Click Sizes. If you are styling an icon, you will not see this option.
  7. From the Classification method drop-down menu, choose the desired grouping method.
  8. Using the Number of groups slider, specify the number of groups to use for the data. You can have between two and seven groups.
  9. Use the Minimum and maximum sizes slider to specify the start and end (minimum and maximum) sizes for the symbols.