Spots & observations

Citizen Scientists can submit observations at GEO coordinates with pictures, descriptions and a custom set of data fields.

Citizen Scientists can put up observations easily in the SPOTTERON Citizen Science apps. Designed as outdoor tools, all apps are optimized for easy use and can still be customized to the project's data definition. The "Add Spot" dialog in the apps can be accessed with just a touch and features a flexible set of input methods and data fields for your project. New observations can also be submitted directly in browser using the interactive maps (web-app) of each project.

Spots & Stacks

The observations by the Citizen Scientists, which are displayed as "spots" with markers and thumbnail images in the maps of the project, are the main level of data in every Citizen Science app on the platform. Besides the GEO coordinates, each spot has a title and an optional description. Users can add a photo of their sighting by camera or file browser. Additional custom information can be added to the interface according to your project needs with a wide array of input fields.

All observation spots are displayed dynamically in the project maps in the Citizen Science App and the interactive map application for websites. While zooming and panning, the spots are streamed and displayed dynamically in the app. For improved performance, memory use and clean display, groups of spots are combined to stacks automatically, so the users device is not slowed down by large amounts of data to load at the start and the map doesn't get cluttered.

Add Spot Dialog

The core element of each app is the dialog panel for adding new observations in the Citizen Science project, which can be completly customized with a set of different buttons, input field types and headlines for further a clear visual structure and guidance. Everything in this customly built dialog can be hierarchically triggered, so new options are revealed after selecting a specific answer and the users can be guided through the questionaire in a tree like structure. Every input field can be set to mandatory or optional.

List of data input field types:

  • SPOTTERON Citizen Science Datafields: TextfieldTextfield
  • SPOTTERON Citizen Science Datafields: NumberfieldNumber Field with Input and +/- Buttons
  • SPOTTERON Citizen Science Datafields: Text ButtonText Buttons
  • SPOTTERON Citizen Science Datafields: Icon ButtonIcon based Image Buttons
  • SPOTTERON Citizen Science Datafields: Image ButtonPicture based Image Buttons
  • SPOTTERON Citizen Science Datafields: Single Select ListSingle Select Lists with Info Buttons
  • SPOTTERON Citizen Science Datafields: Multiselect ListsMulti Select Lists
  • SPOTTERON Citizen Science Datafields: TabsTabs
  • SPOTTERON Citizen Science Datafields: Camera BoxPicture Field with Camera and Fileupload
  • SPOTTERON Citizen Science Datafields: DescriptionDescription Text Area
  • SPOTTERON Citizen Science Datafields: Link FieldLink Input Fields
  • SPOTTERON Citizen Science Datafields: moreand more..

During the design and development phase of your Citizen Science app, we create all icons, buttons and other elements customly tailored for your project in coherence with your target group and mood of your project. Our over 15+ years of experience in user interface design and graphic design is at your disposal for providing the best quality and easy-to-use Citizen Science apps for your team and the Citizen Scientists participating.

CitizenScienceApps Spotteron - Add Spot Views

Custom Observation Dialogs in four SPOTTERON Citizen Science Apps


  • New in our blog series: the Tea Bag Index (TBI) collects data on soil observations and in particular on the dynamics of soil decomposition. The degradation of organic matter in the soil is part of the global carbon cycle, which provides information about the biological activity of the soil and is therefore important for climate change. Read more on the blog!

    Thursday, 17 October 2019
  • A new paper by Barbara Strobl, Simon Etter, Ilja van Meerveld, and Jan Seibert from the CrowdWater project has been added, titled: "Accuracy of crowdsourced streamflow and stream level class estimates". Read more in our papers section here.

    Thursday, 17 October 2019