Create Attributes (Assays - Example)

Introduction

Imago provides a variety of importing and exporting options. The import of attributes is achieved using Imago Connect + Tools to display alongside associated images on the Imago Portal.  

Steps: 

1. Create attributes on the Imago Portal.
2. Use Imago Connect + Tools to upload the attribute data (in this example, assays). 

This article covers the creation

Create Attributes

Before attributes can be uploaded to the Imago Portal, they need to have a home to go to. In other words, they need to be created on the Portal.

After logging into the imago portal, go to the account settings. This is where the attributes will be created and defined. 

In order to use attributes, a Workspace, Dataset and Collection must exist. Images may then be uploaded and created Attributes may then be assigned to these images. Check out this article on Imago Data Hierarchy to see data relationships.

In this example, Geochemistry data (numeric) will be uploaded which will be associated with drill core box images on the Imago Portal.

In this example, a Workspace and Dataset have been created and images uploaded. Now to create the assay attributes.

Steps

The CSV file has this structure and assay names (However, it can be any structure; during the upload process (Imago Connect + Tools), you are provided with the opportunity to map columns to expected names on the Imago Portal):

1. Click the My Workspaces:

2. Click Definitions and then Attribute Definitions:

3. Click New Attribute Definition and Type 'Assays' in the highlighted Box. This will be used to place the assays results into one logical group. Press Enter.

4. Click New Attribute Type and Type 'Cu_ppm' in the highlighted Box. This is the first of the three element attributes (Cu_ppm, Mo_ppm, Ag_ppm) in the CSV file. Press Enter:

5.Click Type and click number from the dropdown list:

An Attribute can only be assigned one data type.

Validation ranges can be defined by clicking the edit button (Assign Attribute Ranges and Colour below). The edit button appears in all places in the Imago Portal where a feature can be edited . Imago supports a range of data types for Attributes: String: The attribute is text or alphanumeric. Example: Sample ID, Logger. Note: Useful for assigning comments. Number: Positive or negative integer/decimal values. A Minimum and Maximum can be assigned to constrain values.  Date: A Minimum and Maximum can be assigned to constrain to a date range. Color: Color is stored in Imago as a Hex code. If you use the extract color action you can then have the action store the color in a color attribute as Hex color:

6. Repeat steps 4 and 5 for each element (Mo_ppm and Ag_ppm in this example).

Putting it together:

Assign Attribute Ranges and Colour

For Number based Attributes, it is possible to define a range of values and associated colours. The former is useful for validation purposes and the latter may be used to build and display colours for quick visualization. 

Uploaded attributes will be colour coded, in this example, alongside the interval they represent on the image. An excellent visualisation tool. 

Steps

Let's add a range of intervals for Cu_ppm and build a legend The aim is to define a discrete range of values covering expected values for Cu_ppm and, for each range, assign a unique colour.

1. Click to the right of the Cu_ppm Attribute to access the Legend Definition page:

2. Enter Minimum and Maximum values and select a Colour:

3. Repeat the process for all ranges based on your expected minimum and maximums (not just related to the one CSV file). Click in on Enter Minimum, Enter Maximum and Colour and enter/select values:

To avoid gaps, make sure the minimum is the same as the maximum from the previous interval (see above image). Minimum is >= the entered value. Maximum is < the entered value.

Assign Attributes to Imagery Type

The 'Assay' Attribute has been created. The next step is to create a new Imagery Type and assign the Attributes to this. This Imagery Type may then be assigned to a Dataset. Let's create the Imagery Type.

Steps

1. Click Imagery Definitions and Imagery Type. The following is displayed. Click New Image Type and enter 'Geochemistry':

2. The next step is to assign the 'Assays' attributes. Select 'Assays' from the dropdown list alongside Attribute Definition:

Assign Imagery Type to a Dataset

1. The 'Assays' Attribute has now been assigned to the 'Geochemistry' Imagery Type. Finally 'Geochemistry' needs to be assigned to the relevant Workspace and Dataset:

1. Click Workspaces
2. Select the Workspace ('Firefly Mine Development' in this example)
3. Select the Dataset ('Drilling' in this example).

2. Finally, assign the 'Geochemistry' Imagery Type by selecting from the dropdown list. The 'Geochemistry' Imagery Type is now assigned to the 'Drilling' Dataset:

Recap

1. Before creating any Attribute, review your data and structure. Where applicable, decide constraints, legend ranges and colours which cover all possibilities. 
2. Create the Attribute and create an Attribute Type(s).
3. Define Minimum/Maximum ranges and Colour (where applicable) for each Attribute Type. Make sure there are no gaps.
4. Create a new Imagery Type and assign the newly created Attribute  to this.
5. Assign the new Imagery Type to the relevant Workspace and Dataset.

Putting it together: