Arcgis Online How to Upload Own Icons

Maps are powerful considering they allow you to visualize your information in a variety of ways. For example, population data for countries tin can be visualized equally a sequence of colors, such as from calorie-free to dark, or as proportional circles, such as from small to large. This flexibility allows you to tell unlike stories and find subconscious patterns depending on how the information is presented. Just because map making is so flexible, information technology requires making decisions when there isn't always a single best answer.

Fortunately, Map Viewer Classic allows you to explore unlike styling options using smart mapping defaults. When you use Change Style, the nature of your data determines the styling suggestions you see by default. Once you accept decided how you want to present your layer—for example, circles or colors to testify population—y'all can brand changes to its advent that are immediately reflected on the map. Map Viewer Classic gives y'all command over graphic elements such as color ramps, line weights, transparency, and symbols.

To learn more than well-nigh smart mapping, run into the following resources:

• Smart mapping stories
• Mapping videos

Change Style workflow

The styling options provided for a layer are based on the type of data you are mapping. You volition see different choices depending on whether your layer is composed of betoken, line, or polygon features. For example, you will see heat map styling options for a layer composed of points, just not for line or polygon layers. The options offered are also influenced by the type of data associated with your features. For example, a point feature might only have location data such equally geographic coordinates just could also have categorical information such as tree species or numeric information such as air temperature. Styling options also vary depending on whether you want to show one or 2 attributes, such as revenue or population. Not every styling choice can be used for every blazon of data. Past analyzing these and other characteristics of your data, Map Viewer Archetype presents the best styling choices.

Instead of styling a characteristic layer using explicit attributes in your layer, y'all tin can create a custom attribute expression written in Arcade to employ for styling. This is available for most styles. For example, an Arcade expression might be created to derive a yearly sales figure for individual sales territories by summing the value of monthly sales fields. The yearly sales figures tin and so exist represented as different-sized symbols on the map. Y'all can likewise create a new Arcade expression or edit your Arcade expression direct in Map Viewer Classic. Arcade expressions tin also exist used when setting transparency for features or the rotation angle of symbols, besides as when configuring popular-ups and labels.

To learn more about using Arcade when styling layers in Map Viewer Classic, encounter the How to Smart Map: Arcade story.

When you add a layer without any styling attached to information technology—for example, you import a CSV file or shapefile or add together a hosted feature layer from its details folio immediately after publishing—Map Viewer Classic opens the Change Mode pane with suggested styling defaults for the layer. Click OK to accept the suggestions or Cancel if you don't desire to apply the styling. If y'all add together a layer that already has styling practical, Map Viewer Classic respects that styling. You lot must open up the Modify Style pane to see suggestions and brand any styling changes to the layer.

You can alter the fashion of a layer at any time by using the Change Way pane for supported layers. If you aren't happy with the style changes you made, y'all can return to the default fashion of the layer afterwards applying the changes.

To change the style of your characteristic layer using smart mapping, do the post-obit:

1. Verify that you are signed in and, if you want to save your changes, that you have privileges to create content.
2. Open the map in Map Viewer Archetype.
3. Click Details and click Contents.
4. Browse to and hover over the feature layer that contains the style you desire to change and click Change Mode .
5. For Cull an aspect to show, do one of the following:
   • To style an attribute in your layer, select the attribute yous want.
   • To use a custom Arcade expression that was previously created for the layer, select it at the lesser of the drop-down bill of fare. If you want to edit the expression or its name, click the Edit Expression button and utilise the editor window to edit it.
   • If you desire to create a new Arcade expression, select New Expression from the drop-down carte and apply the editor window to create your expression, including giving it a name. If expressions were previously created for the layer for apply in pop-ups or labels, you can copy and employ these to build your expression by selecting them from the Existing tab in the editor window.

   Arcade expressions are supported for all styles except Heat map, Predominant Category, Predominant Category and Size, and the Historic period styles.

   Tip:

   If you need help with any of the Arcade functions, click the Information button beside the function to run into reference information virtually the office.

6. To utilize multiple styles, click Add together attribute and choose a second attribute to show.
7. Choose a style based on what you lot want to show. For help choosing a style, refer to the Alter Style quick reference table.

   But the options that utilise to your data appear. For example, if yous only know the location of a characteristic, you can only use a single symbol or heat map but not size or colour. Still, if you lot have chiselled or numeric data attached to those locations, smart mapping presents many other styling choices.

8. The cheque mark indicates the electric current styling of the layer. Click Select to cull a different style.
9. Click Options to customize the expect of the layer.
10. Click Washed when you are finished customizing your style or click Abolish to get back to the Change Fashion pane without saving any of your choices.

    Tip:

    If yous want to return to the default style of the layer afterwards clicking Washed, open up the Change Fashion pane again and click Set default style under Select a drawing style.

11. If y'all take privileges to create content or the ability to update content shared with you through a shared update group, and desire the styling to apply to the particular anytime it appears on a map, scan to the layer y'all want to salvage, click More Options , and click Save Layer.
12. Click Save at the superlative of Map Viewer Classic to salvage the styling changes to the map.

Change Mode quick reference

When you style a layer using smart mapping, the styling options offered depend on the type of features you are mapping (point, line, or polygon) also as the type of data attributes (numbers, categories, dates, and and then on) and number of attributes you lot cull. Each fashion helps you tell a slightly dissimilar story and answer unlike questions with your data.

The following tabular array provides a quick reference of the smart mapping styling options available for different types of data and some of the key questions y'all tin answer using each fashion:

Data to map	Questions to answer	Styles to apply
Location only Examples: restaurant locations, coffee shop distribution	Where are my features located? How are they distributed geographically?	Location (Unmarried symbol) Rut map (betoken features only)
i numeric attribute Examples: cropland in utilise, largest urban areas	How practice my features compare to each other based on numeric values? Where are the highest and lowest values? Which features are to a higher place and below a specific attribute value?	Counts and Amounts (Color) Counts and Amounts (Size)
2 numeric attributes Examples: number and rate of single-parent households, global population change, smoking and excessive drinking	Where are the highest and everyman values? How are the numeric attributes related? What is the relationship between numeric totals and the charge per unit or ratio? Are there whatsoever outliers? Which features take loftier values or low values for both attributes? Which features take low values for one attribute and high values for the other attribute? Where is the relationship design the strongest or weakest for each aspect?	Color and Size Compare A to B Human relationship
3 numeric attributes Example: obesity, diabetes, and physical inactivity	How are the numeric attributes related? Which features have high values or low values for both attributes? Which features have low values for 1 attribute and high values for the other aspect? Where is the relationship pattern the strongest or weakest for each aspect?	Relationship and Size
ii to 10 related numeric attributes with the same unit Examples: highest per capita personal income year, predominant ingather harvest by U.S. county and which counties take the highest and lowest total crop yields	Which attribute has the highest value compared to other related attributes for each feature? Which has the lowest value? How much higher is the highest attribute value compared to other related attributes? What is the sum of the attributes for each feature and how does it compare to the other features?	Predominant Category* Predominant Category and Size* *for hosted feature layers or characteristic collections only
ane category/type attribute Example: metropolis rail lines	How is my data distributed or summarized by category?	Types (Unique symbols)
1 category/type and ane numeric attribute Example: annual average of daily traffic on Florida roads by district	Where are the highest and everyman values? How is my data distributed by category?	Types and Size
1 date/time aspect Examples: street inspections by date, furniture sales by date, old and recent home sales, age of code violation complaint to compliance date	Where are older features and where are newer ones? Which features accept dates that are before or later on a central date? Which features take a college historic period (length of time between two dates) and which take a lower age?	Continuous Timeline (Color)* Continuous Timeline (Size)* Age (Color)* Age (Size)* *for hosted feature layers or feature collections only
ii date/time attributes Example: relationship between age of code violation (how long between complaint and compliance) and how recently the violations occurred	Where are older features and where are newer ones? Which features have dates that are before or after a central appointment? Which features have a college age (length of time between 2 dates) and which take a lower historic period? What is the relationship between the historic period of features and how old or new they are?	Color (Age) and Size* Color and Size (Age)* *for hosted feature layers or feature collections only
1 engagement/time aspect and ane numeric attribute Instance: length of time since migrants went missing and locations where migrants were found dead	Which features have a higher age (length of fourth dimension between two dates) and which have a lower historic period? What is the relationship betwixt a feature's historic period and a numeric attribute value?	Colour (Age) and Size* Color and Size (Age)* *for hosted characteristic layers or feature collections only
1 date/fourth dimension attribute and 1 category/type attribute Example: credit card payments by menu type and length of time since payment	How is my data distributed by category? Which features have a higher age (length of time between 2 dates) and which have a lower age? What is the relationship between the age of a characteristic and its category?	Types and Size (Age)* *for hosted feature layers or characteristic collections only

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