Using the Feature Table
Overview
The Feature Table provides a structured, tabular interface that displays attribute data from spatial features (e.g. polygons, sampling points, observations) within TytonAI. It allows users to filter, search, sort, and interact with spatial data directly in a tabular format. This enhances usability for users managing and analyzing field data, survey results, or rehabilitation attributes.
How to Open the Feature Table
To view and interact with attribute data in a structured table format, follow these steps to open the Feature Table in TytonAI:
-
Locate the Dataset
In the Explorer Panel (left-hand side), navigate to the dataset or feature group you want to explore.
Example:Training Area
,Assessment Data
, orStudy Area
. -
Right-Click the Layer
Right-click the desired feature group (e.g.Training Area
) to bring up the context menu. -
Select 'Open Feature Table'
From the dropdown menu, select Open Feature Table. This will launch the tabular interface at the bottom or side of the map, showing all spatial features and their associated attributes.
The Feature Table is context-sensitive. If you open it on a specific class (e.g. Shrub or Sedge), it will only show the relevant subset of features within that class.
Key Features
Filtering and Searching
The Feature Table in TytonAI includes a powerful set of filter tools to help refine and isolate specific features. Below are the available filter types:
- Name
Filter by feature name (e.g.,Polygon
,Sample01
). - Class
Filter by classification category (e.g.Ground
,Tussock
,Shrub
). - Area
Filter spatial features by minimum and/or maximum area values. - # of Points
Filter polygons or geometries based on the number of vertex points they contain. - Color
Filter by assigned feature color codes (e.g.#E5AB5F
).
Map Synchronization
- Selecting a row in the Feature Table highlights the corresponding spatial feature on the map.
- This allows for intuitive spatial navigation between tabular data and GIS elements.
Inline Editing
- Editable fields allow users to update specific attributes directly within the table (where permissions apply).
- Examples: Updating a polygon tag, changing status, editing rehab date etc.
Expandable Rows
- Certain fields (e.g. associated sampling sites or inspection records) can be expanded to view nested data.
- This allows users to drill down into detailed observations linked to a primary feature.
Data Export
- The full table, or a filtered subset, can be exported as a CSV file for offline analysis or reporting.
Typical Use Cases
- Reviewing rehabilitation polygon attributes (e.g. landform, area, criteria outcome).
- Managing sampling site data and inspection results.
- Exporting filtered observations for reporting or compliance.
- Quickly locating and editing spatial features on the map through a data-first interface.
- The feature table reflects real-time updates—any changes made in the table sync back to the database and map.