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Chapter 12

Sharing G I S

Mastering ArcGIS Pro�Second Edition

Maribeth H. Price

No reproduction or further distribution permitted without the prior written consent of McGraw Hill, LLC.

Because learning changes everything.^®

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Intro to GIS

Lesson 12: Sharing

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Sharing G I S

The power of G I S multiplies when it is shared
Data sets available over the Internet are increasingly common, from ordinary users as well as major companies
Sharing workflows with others makes analysis quicker and more reliable
Recent years have seen a shift from using local content on the computer or local network to widespread data services over the Internet

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Web G I S

Web G I S content is delivered through the Internet from powerful computers called G I S Servers
They work through a Web Server computer configured to communicate with users, or clients
Clients may reside on many types of devices: desktop computers, laptops, tables, and smartphones to name a few

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Resources

Many types of resources are available from G I S servers

Data sets can be downloaded and stored locally by desktop or laptop computers.
Web maps, map services, and image services provide content that can also be used by mobile devices.
Geoprocessing services allow analysis to be performed on the server side, eliminating the need for analysis tools installed on the client.

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Workflows

A workflow is a sequence of data management or analysis steps needed to complete a task
Storing workflows allows them to be completed more quickly with less chance for errors
Stored workflows can also be shared with others
This model shows the steps needed to do the snail habitat analysis in Chapter 10

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Metadata

When sharing resources, they must be documented so that users know what they are, where they came from, and how they should be used
Metadata, or data about data, serves this purpose
The Item Description provides a brief view of the most important information and should be created for any shared resource
Good metadata is often a sign of quality data

Source: Esri

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Purpose of metadata

Data quality is defined as the fitness of a data set for a given purpose
Data suitable for one purpose may not be suitable for another, so there is no iconic standard for “good data”
Metadata provides the basic information that allows the user to determine whether a data set is suitable for his or her needs

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Data quality issues

Metadata should address six basic data quality issues

Lineage: where did it come from and how was it processed?
Positional accuracy: are features in the right location?
Attribute accuracy: are the attributes in the table correct?
Logical consistency: how well are the real-world relationships configured in the data?
Completeness: was every instance recorded or every measurement taken?
Temporal accuracy: how long will the data set remain valid, and are there any regular updates planned?

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Standards-based metadata

Source: Esri

The Item Description (a) is simple and relatively easy to create
Professional data producers are often required to create standards-based metadata (b), which is far more extensive

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Metadata standards

Metadata standards define the format of the metadata and the type of information that must be provided
Standards facilitate sharing of metadata so that anyone can read it, regardless of the G I S system or data type
Most standards require that the metadata be stored in a text, H T M L, or X M L format

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Which standard?

Several metadata standards are currently in use

The U S Federal Standard

Content Standard for Digital Geospatial Metadata (C S D G M).

International Standards

I S O 19115 standard (for geospatial data).
I S O 19139 standard (general metadata).

North American Profile of I S O 19115

Customization of I S O 19115 for the U S and Canada.

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Importing F G D C C D S G M metadata

Older data sets found on the Internet may not have internal ArcGIS metadata, only the C S D G M metadata
The C S D G M metadata must be imported into the internal format before it can be viewed in Pro
The Catalog view provides the tools needed to import the F G D C-C S D G M metadata content

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F G D C

The Federal Geographic Data Committee (F G D C)

Develops and manages standards for metadata.
Created and maintains the C S D G M and the N A P standards used in the United States.
Defines a standard content and format so metadata can be shared across platforms.
Provides publications to help users understand and develop metadata.

http://www.fgdc.gov/

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C S D G M metadata sections

Identification: basic information such as title, geographic area, keywords, rules for acquiring/using the data, etc
Data Quality: assessment of positional and attribute accuracy, completeness, consistency, etc
Data Organization: how the data set is organized and formatted, such as raster or vector, format, etc
Spatial reference: properties of the spatial coordinate system including projections, datum, xy extent, etc
Entity and Attribute Info: information about content such as names and definitions used for attributes
Distribution information: how to obtain the data set, distributor contact info, etc
Metadata Reference: Information on who created the metadata and how it is organized

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F G D C Compliance

Certain metadata fields are required in order to develop the minimal collection of information about a data set
If all required fields are filled out, the data is called F G D C-compliant
If you plan to distribute data to others, then you should aim to achieve at least this level of metadata preparation
Data contracts usually include F G D C-compliant metadata as a condition for contract completion

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Metadata in ArcGIS

Source: Esri

To accommodate the many different standards, Arc G I S stores metadata in an internal format
The user can choose a style to view and edit the metadata
If needed, the information can be exported into any standard style required by the user

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ArcGIS Online

Source: Esri

ArcGIS Online (A G O L) is a cloud-based platform for sharing G I S resources
It can be accessed through the Portal tab in the Catalog pane
Although it has free public accounts, they are limited
An organizational account is required to use many A G O L resources

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Types of content

Open content may be accessed by anyone

Subscription content requires that the user has an organizational account

Organizational accounts are not free; the organization is assessed fees for user accounts and for service credits, including data storage.
Most of a Pro user’s daily activities will use public or subscription content and consume very few credits.

Premium content requires an organizational account and also consumes service credits

You will usually be warned before accessing premium content.

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Optimizing services

Delivering large volumes of content requires strategies for optimizing access speed

For features, the geographic is restricted so that only the features in the current map view are transmitted.
Scale ranges are often used to deliver only the content that is appropriate to the current map scale.
For complex vector-based maps, a snapshot, or tile of the map is created and transmitted as a jpg or png image.
Snapshots may be rendered dynamically as needed or they may be created and stored ahead of time at standard scales (caching).

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Tiling

Source: Esri

Tiling content means to divide the map into squares and deliver only the squares required

The familiar U S G S topographic quadrangles are a good example

Grids were created at four scales (1:250K, 1:100K, 1:48K, 1:24K).
The resulting quadrangle maps are similar to tiles.

These 1:24K tiles near Oklahoma City highlight the enormous amount of data needed to represent the U.S. at 1:24K

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Tiling schemes

Source: Esri

The size of the tiles and the set of scales chosen constitute the tiling scheme
A G O L, Google Earth, and Bing use a common tiling scheme that covers the globe and has 19 different scale levels
Users who are generating tiles benefit from using the common scheme, but custom schemes can be created if needed

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Types of GIS services

Arc G I S Online includes many types of services. These four types are the primary means of serving map data

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Service type	Description
Feature layers	Feature layers serve point, line or polygon features and their attributes
Imagery layers	Imagery layers serve raster data products like satellite images, aerial photography, or elevation in an analyzable form
Map image layers	A collection of map cartography based on vector data, dynamically rendered and served as image tiles.
Tile layers	A collection of web-accessible tiles that reside on a server; pre-rendered for rapid display; includes basemaps.

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More G I S Services

These services are often used by individual users to share maps or information with others

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File type	Description
Web maps	A map based solely on GIS services; may include other types of services listed in this table
Packages	Data uploaded to ArcGIS Online for sharing with others; includes layer, map, project, rule or geoprocessing packages
Scene layers	A collection of 3D objects and z-values, including points, 3D objects, integrated meshes, or point clouds
Tables	A set of rows and columns where each row represents a feature; may contain locations but are not typically drawn on the map

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3D Services

These service types are used for 3D sharing

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File type	Description
Elevation layers	A collection of cached elevation image tiles in a compressed format, suitable to show terrain in 3D scenes
Scenes	Symbolized 3D spatial content for visualizing a geographic area in three dimensions; may include 2D and 3D layer services
Scene layers	A collection of 3D objects and z-values, including points, 3D objects, integrated meshes, or point clouds

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Web maps

Source: Esri

Web maps are shareable maps that consume only G I S services
They can be created in Pro or A G O L and viewed by mobile devices

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Beware

Some services in A G O L are professionally created and curated for high quality
Others are shared by inexperienced users and may have little value
The thoroughness of the metadata is a clue to the professionalism and skill level of the provider

Source: Esri

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Service characteristics

Be aware that
Some services, like feature layers or image layers, provide actual data that can be symbolized and analyzed
Some services, like basemaps and raster tile layers, provide representations for display only
Feature layers and layer packages are more likely to be downloadable to provide local copies

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Ways to share data

Hosted services

The user may set up a G I S service to share feature layers, imagery layers, tile layers, and so on.
An organizational account with publishing privileges is required.

Packages

Packages compact all the data for a layer, map, project, or workflow into a single file to be uploaded or saved locally.
A public account or organizational account may be used, and no publishing privileges are needed.

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Hosted services

Hosted services can be configured to serve features, imagery, geoprocessing, raster tiles, or vector tiles
Caching tiles has the potential to consume a great many credits and must be carefully configured
If a large cache is required, the tiles can be cached locally and then uploaded
Services can be used by either desktop or mobile applications

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Packages

Packages can be created for layers, maps, projects, or workflows, even with just a public A G O L account
They are an easy way to share work with others
Downloading a package includes all links and data required to make the package work
Packages can only be used by desktop software, not mobile devices

Source: Esri

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Preparing data for sharing

Best practices for sharing should be followed so that hosted layers and packages look well and perform well
The hosting and packaging tools include an Analyze button that will help identify issues that should be fixed before publishing

Source: Esri

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Sharing best practices

Do not include basemaps in your maps

Give maps a default map extent (Full Extent setting) so that it opens to the right location and scale

In feature layers, keep the number of features as small as possible for best performance

Very large or complex data sets might work better as tiles.

Set appropriate visible scale ranges for layers

Configure viewing, sharing, and editing options to meet your needs

Provide quality metadata and good search terms

When caching tiles, be careful when selecting the scales to include, lest you burn through a pile of credits unnecessarily

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Selecting cache scales

Source: Esri

Use the standard A G O L/Bing /Google tiling scheme for best results
Determine the appropriate Levels of Detail and only cache those that are required
If the estimated cache size exceeds 100 MB, talk to you’re AG O L administrator first to ensure that you are configuring the cache properly and that you will have enough credits
Tiles can also be cached locally

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Mobile applications

Apps are available from Esri for viewing and collecting data on mobile devices

Explorer for ArcGIS (free).
Collector for ArcGIS.
Survey123.

Collector and Survey123 are free to download but require an organizational account to use

Here, a user is collecting sidewalk information using Collector

The location accuracy of mobile devices is generally less than a dedicated G P S, but adequate for some purposes

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Mobile data collection

Mobile devices can only use published feature layers for data collection
The feature layers must be configured for editing
Domains aid in easier and consistent attribute entry
A web map with the feature layers must be created to allow the mobile device to access the layers
Multiple field workers can collect and edit the same data simultaneously and see each other’s edits in real time
Some apps allow disconnected data collection when cellular service is not available

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Domains for mobile collection

It is recommended to create coded domains when collecting data in the field, to save time and reduce typing and data entry errors
This table shows coded domains for collecting features that one might find in a park or on a campus

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Domain name	Field type	Domain type	Coded values
Things	Text	Coded	Tree, Bench, Lightpole, Sign, Sculpture, Other
ConditionClass	Text	Coded	Good, Fair, Poor
LineCategories	Text	Coded	Sidewalk, Street, Trail, Powerline, Other
SurfaceMaterials	Text	Coded	Concrete, Asphalt, Gravel, Dirt, Grass, Matting, Bark, Sand, Other
LanduseClass	Text	Coded	Parking, Athletic field, Pool, Landscaping, Playground, Game court, General use, Other

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Steps to set up mobile collection

Source: Esri

Create or configure the feature classes to be collected

Set up domains for the attribute fields to aid data entry

Publish the feature classes to A G O L as hosted layers configured for editing as shown here

Check Enable Sync for disconnected collection if desired (but features won’t update live, then).

Create a web map containing the hosted layers and publish it to A G O L

Install Explorer for Arc G I S or Collector on your mobile and log in with you’re A G O L account

Open the web map and begin collecting data

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Symbols

Mobile devices often have small screens
Even larger screens can be difficult to see in bright sun light
For your web maps used for data collection, make the symbols large, with good contrast against the background

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Sharing workflows

Arc G I S Pro provides three main ways to share workflows

ModelBuilder is a graphic canvas used to string tools and inputs in a sequence for automatic execution.
Scripts are programs, commonly written in the Python computer language.
Tasks are workflows that permit a user to make decisions and interact with the workflow as needed.

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ModelBuilder

ModelBuilder provides a canvas to link input and tools to create a final result
This model shows the inputs (blue ovals) and tools (yellow squares) needed to run the snail habitat analysis from Chapter 10
The green ovals are the outputs
Parameters are stored in the tools so that the sequence can be executed automatically
Models can incorporate sophisticated programming functions like iteration, conditions, variables, and so on

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Why use ModelBuilder?

ModelBuilder can

Create models built from sequences of tools.
Store processing steps for later reference.
Execute models repeatedly with different inputs.
Allow workflows to be shared with others.

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Models as tools

Models can also be configured to run as tools
Inputs to the model tools can be set as parameters to allow the user to specify different values when the tool is run
Here, the P indicates that the input vegetation layer and the vegetation query are parameters

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Scripts

A script is a computer program, often written in Python
It can call G I S functions and tools directly
Models can be saved as scripts to provide a starting place for additional customization and programming

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Tasks

Source: Esri

Tasks provide an interactive workflow experience with ordered steps
This task leads the user through the steps to define a timber sale area, including creating the feature class, digitizing the boundary, and clipping data to the boundary
It saves clicks by launching the next step automatically
Each step provides instructions on what to do next, such as entering a name for the feature class to be created

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Creating a task step

Source: Esri

a) Assign the tool or command to the step

b) Set the parameters for the tool or command, leaving blanks for items the user would fill in

c) Write a name, tip, and instructions for the step to guide the user

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Because learning changes everything.^®

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Accessibility Content: Text Alternatives for Images

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Web G I S - Text Alternative

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The illustration shows three G I S servers and a web server inside a circle which is branched into four devices such as Desktop computers, Laptops, Tablets, and Smartphones. The services provided by the serves to the four devices are given as follows: 1) Desktop computers: Web maps, maps services, image services, Geoprocessing services, and Data sets. 2) Laptops: Web maps, maps services, image services, Geoprocessing services, and Data sets. 3) Tablets: Web maps, maps services, image services, and Geoprocessing services. 4) Smartphones: Web maps, maps services, image services, and Geoprocessing services.

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Resources - Text Alternative

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The illustration shows three G I S servers and a web server inside a circle which is branched into four devices such as Desktop computers, Laptops, Tablets, and Smartphones. The services provided by the serves to the four devices are given as follows: 1) Desktop computers: Web maps, maps services, image services, Geoprocessing services, and Data sets. 2) Laptops: Web maps, maps services, image services, Geoprocessing services, and Data sets. 3) Tablets: Web maps, maps services, image services, and Geoprocessing services. 4) Smartphones: Web maps, maps services, image services, and Geoprocessing services.

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Workflows - Text Alternative

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The flowchart begins with four inputs such as SD Geology, Input Vegetation layer, Vegetation query, and snail underscore elev83.shp. The process flow of all the inputs with their outputs are given as follows: a) SD Geology: SD Geology leads to make feature layer. Make feature layers leads to Limestone. Limestone leads to intersect. Intersect leads to conf underscore lime. Conf underscore lime leads to intersect (2). Intersect (2) results in the Snail habitat. Snail habitat leads to dissolve. Dissolve leads to output habitat features (Output). b) Input Vegetation layer: Input Vegetation layer with the help of parameters leads to make feature layer (2). Make feature layer (2) leads to dense conifer. Dense conifer leads to intersect. Intersect leads to conf underscore lime. Conf underscore lime leads to intersect (2). Intersect (2) results in the Snail habitat. Snail habitat leads to dissolve. Dissolve leads to output habitat features (Output). c) Vegetation query: Vegetation query layer with the help of parameters leads to make feature layer (2). Make feature layer (2) leads to dense conifer. Dense conifer leads to intersect. Intersect leads to conf underscore lime. Conf underscore lime leads to intersect (2). Intersect (2) results in the Snail habitat. Snail habitat leads to dissolve. Dissolve leads to output habitat features (Output). d) Snail underscore elev83 dot shp: Snail underscore elev83.shp leads to intersect (2). Intersect (2) results in the Snail habitat. Snail habitat leads to dissolve. Dissolve leads to output habitat features (Output).

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Metadata - Text Alternative

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The map of the generalized states of the U.S. shows the following data: Type: File Geodatabase Feature Class. Tags: polygon, area, population, households, demographics, society, boundaries, farming, United states, U.S.States, States, 2002, 2010, 2012, 1992, 2011, 2013, 2014. Summary: U.S.States (Generalized) provides 2010 U.S.Census demographic information and generalized state boundaries to improve draw performance and be used effectively at a national level. Description: U.S.States (Generalized) represents the 50 states and the district of Columbia of the united states. Credits: ESRI Data and maps (ESRI, Inc., Redlands, CA).

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Standards-based metadata - Text Alternative

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The data in the first illustration is given as follows: 1) Type: Geodatabase feature class (A Yellow patterned image). 2) Tags: Geology, South Dakota, and geological map. 3) Summary: A map showing geological units of the Sturgis 1:500,000 state-wide geological map of Dakota for establishing unit colors to match the publish. 4) Description: Map showing the geological units of the Sturgis 1 state-wide geological map. Attributes fields for the rock type added Maribeth price and filled out units described on the map publication pdf dot int. Source map downloaded from the South Dakota quadrangle and projected to UTM zone 13NA. Source scale 1:500,000. 5) Credits: Geological map of South Dakota, 2004 James E Fahrenbach, Dennis W, Tom have, and Layne D Survey. Scale 1:500,000. 6) Use limitations: Intended for medical use only. The second illustration shows the following data: 1) Topics and Keywords: Citation, Citation contacts, and Resource details. 2) Extents: Resource points of contact, Resource maintenance, Resource constraints. 3) Spatial reference: Spatial data properties, data quality, and lineage. 4) Geoprocessing history: Distribution, Fields, and Metadata details. 5) Metadata contacts: Thumbnail and Enclosures. A Small downward arrow is shown after all the words.

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Metadata in ArcGIS - Text Alternative

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The data given in the dialogue box are as follows: North American Profile of ISO19115 2003. FGDC CSDGM Metadata. Inspire Metadata Directive. ISO 19139 Metadata Implementation Specification GIS. ISO 19139 Metadata Implementation Specification. Item Description. North American Profile of ISO19115 2003. The option North American Profile of ISO19115 2003 is selected.

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ArcGIS Online - Text Alternative

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The screenshot of the catalog dialogue box shows the following data: Project, Portal, Favorites, Note. Small icons of cloud with a character, cloud with three characters, cloud, cloud with a green book. A back button and a home button near the search box. The portal shows the search results for the Oregon colleges typed in the search box. The search result includes Oregon community colleges, 2_4percent_some_college, community colleges (feature), OREGON_EDUCATIONAL_BOUND, colleges, Oregon community college district, and Oregon community anchor institute.

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Tiling schemes - Text Alternative

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The screenshot of the caching dialogue box shows the following data: Tiling scheme: ArcGIS online / Bing maps. Levels of detail: Ranging from 0 to 19. The minimum and maximum bar stay at level 11 and level 15. Minimum Level: 11, Maximum Level: 15. Scale: 1:288,895 Scale: 1:18,056 Two small images with patterns Metropolitan area, Neighborhood. Estimated cache size: 12MB. Selected check box: Cache automatically on the server. Unselected check box: Cache manually on the server. Unselected check box: Cache locally Temp cache location. Location box with a small folder icon: C:/Users/Maribeth/AppData/Local/ESRI/A. Unselected check box: Allow clients to export cache tiles. Limit export to 100000 tiles.

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Web maps - Text Alternative

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The screenshot of the catalog dialogue box shows the following data: Project, Portal, Favorites, Note. Small icons of cloud with a character, cloud with three characters, cloud, cloud with a green book. A back button and a home button near the search box. The portal shows the search results for the Oregon colleges typed in the search box. The search result includes Oregon community colleges, 2_4percent_some_college, community colleges (feature), OREGON_EDUCATIONAL_BOUND, colleges, Oregon community college district, and Oregon community anchor institute. A big arrow mark is pointing towards the result colleges.

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Beware - Text Alternative

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The map of the generalized states of the U.S. shows the following data: Type: File Geodatabase Feature Class. Tags: polygon, area, population, households, demographics, society, boundaries, farming, United states, U.S.States, States, 2002, 2010, 2012, 1992, 2011, 2013, 2014. Summary: U.S.States (Generalized) provides 2010 U.S.Census demographic information and generalized state boundaries to improve draw performance and be used effectively at a national level. Description: U.S.States (Generalized) represents the 50 states and the district of Columbia of the united states. Credits: ESRI Data and maps (ESRI, Inc., Redlands, CA).

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Packages - Text Alternative

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The data given in the dialogue box is as follows: Sharing as a layer package. Tabs: Package, layers, and attachments. Under the package tab, start packaging. Start packaging: A checkbox of upload package to the online account is selected. A checkbox of saves package to file. Item details: Name: Crater lake geology. Summary: This database was constructed in order to produce a geological map as a basis for understanding processes and volcano hazards involved in the eruptions. Tags: United States of America, Pleistocene, and Caldera. Options: A checkbox of including enterprise and UNC Path data. A checkbox of Package schema only. Location: Folder: Pro practise (Dropdown box). Share with: A checkbox of Everyone. A checkbox of SD Mines Map. Groups (Dropdown bar). Finish packaging: Analyze (Button), Package (Button), and Jobs (Button).

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Preparing data for sharing - Text Alternative

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The data given in the dialogue box are as follows: Location: Folder: Pro Practise (Dropdown button). Share with: Everyone (Checkbox), SD Mines map (Checkbox), Groups (Dropdown button). Finish packaging: Analyze (Button), Package (Button), and Jobs (Button).

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Selecting cache scales - Text Alternative

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Path: Arc GIS online/Bing Maps/Google maps. Levels of detail are shown as a scale ranges 0 to 23. The level is from 11 to 15. Minimum level 11, scale 1:288,895, maximum level 15, scale 1:18,056, metropolitan area - neighborhood, image format - mixed, compression - 75. Options, three radio buttons labeled cache automatically on the server (selected), cache manually on the server, cache locally. Estimate, calculate, quality static, tiles to create, 2482, and storage 12 MB.

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Steps to set up mobile collection - Text Alternative

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The data given in the dialogue box are as follows: Operations: Enable editing and allow editors to (Selected checkbox): Add update and delete features (Selected checkbox), Update feature Attributes only (Checkbox), Add features only (Checkbox), Enable sync (Checkbox), Export data (Selected checkbox). Properties: Apply default to features with z-values (Checkbox), Default z-value when inserting or updating features (0), Allow geometry updates with m-value (Checkbox).

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ModelBuilder - Text Alternative

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The flowchart begins with three inputs SD Geology, Vegetation, and snail underscore elev83.shp. The process flow of all the inputs with their outputs are given as follows: a) SD Geology: SD Geology leads to make feature layer. Make feature layers leads to Limestone. Limestone leads to intersect. Intersect leads to conf underscore lime. Conf underscore lime leads to intersect (2). Intersect (2) results in the Snail habitat (Output). b) Vegetation: Vegetation leads to 'Make feature layer (2).' Make feature layer (2) leads to dense conifer. Dense conifer leads to intersect. Intersect leads to conf underscore lime. Conf underscore lime leads to intersect (2). Intersect (2) results in the Snail habitat (Output). c) Snail underscore elev83.shp: Snail underscore elev83.shp leads to intersect (2). Intersect (2) results in the Snail habitat (Output).

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Why use ModelBuilder? - Text Alternative

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The flowchart begins with three inputs as SD Geology, Vegetation, and snail underscore elev83.shp. The process flow of all the inputs with their outputs are given as follows: a) SD Geology: SD Geology leads to make feature layer. Make feature layers leads to Limestone. Limestone leads to intersect. Intersect leads to conf underscore lime. Conf underscore lime leads to intersect (2). Intersect (2) results in the Snail habitat (Output). b) Vegetation: Vegetation leads to 'Make feature layer (2).' Make feature layer (2) leads to dense conifer. Dense conifer leads to intersect. Intersect leads to conf underscore lime. Conf underscore lime leads to intersect (2). Intersect (2) results in the Snail habitat (Output). c) Snail underscore elev83.shp: Snail underscore elev83.shp leads to intersect (2). Intersect (2) results in the Snail habitat (Output).

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Models as tools - Text Alternative

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The process flow begins with input layer vegetation as an input. The input layer vegetation leads to make feature layer (2) which is a tool with the help of parameters. Another process flow begins with a vegetation query as an input. The vegetation query directs to make feature layer (2) which is a tool with the help of parameters.

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Tasks - Text Alternative

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The screenshot of the tasks dialogue box of the defined sale area shows the following data: Steps, Messages. Under steps: 1) Create a sale feature class. 2) Digitalize the sale boundary. 3) Save the sale boundary. 4) Clip vegetation. 5) Clip roads. Enter a feature class name for the sale boundary layer. Parameters, Environments Feature class location. A location box with folder: TimberSales.gdb. Empty box: Feature class name. Click Run when ready to continue.

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Creating a task step - Text Alternative

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The data in the first dialogue box are given as follows: Step: Select logging areas. Tabs: General, Action, Views. Under Action, the Make feature layer is selected under set the command. Additional actions: When starting the step: Add Action (Dropdown box), Prior to command execution: Add Action (Dropdown box), when existing the step: Add Action (Dropdown box). The data in the Second dialogue box are given as follows: Command/ Geoprocessing: Type of command: Geoprocessing tool (Dropdown box). Select Geoprocessing tool: Make feature layer. Embed (Selected checkbox). Preset parameters: Parameters, Environments. Under parameters, Input features: Sale15A underscore Veg (Dropdown box). Output layer: Suitable timber. The data in the third dialogue box are given as follows: Step: Select logging areas. Tabs: General, Action, Views. Under General, select logging areas as a name. Tooltip: Find areas to be logged. Instructions: Select the sale area vegetation as your input layer. Run/ Proceed instructions: Click run to continue.

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