Uinta Android Features
23 Aug 1970
Uinta Android is a new software release that includes most of the features available in Uinta Windows. This article provides feature-related information about Uinta Android. For technical support information, see the Uinta Knowledge Base.
Improvements to import workflow
Map to existing record types
Create new project from import file
Improvements to template design
Relationship tab and relationship wizard in template editor
Subsection tabs in template editor
Project hierarchy features in template designer
Improvements to the workflow when linking related records
Attachment thumbnails in list view
Ability to rename attachments
Sample projects and templates
Bluetooth GNSS device discovery and pairing
Exporting to PDF
Creating and editing conditional logic
Note: Conditional logic can be created in Windows and synchronized to Android using a shared cloud project.
Global search screen
Offline .mbtiles map creation
Note: .mbtiles can be imported into Android, but cannot be created in Android.
Horizontal form layout
To-do tasks and lists
Advanced report customization
Saved report templates
Some known issues with Uinta Android:
Shared fields
The same field cannot be reused on the same form; it must be newly created again.
You can share a field using the “use existing” feature if it is on a separate record type.
Deleting all records
Deletion may also be slow if several records are being deleted.
Large lines/polygons
Collecting over 1000 points in a line or area can cause the application to behave slowly. If you are using auto GPS capture, try to reduce the frequency of point capture to only what is needed.
Large data sets
Importing large data sets (10,000+ features/records) into a cloud project is not currently recommended.
Future improvements to the software will address the slowness of synchronization of large data sets. Using offline reference layers such as mbtiles is preferred.
Note: This issue will be addressed in a future version. Please contact Juniper Systems if you need help supporting large data sets.