Welcome to Obsiva, the app for nature-loving observers.
Obsiva is easy to use, with a user-friendly and intuitive interface that allows you to record and prioritize your observations with a few clicks. You can even add images to better document your analysis.
With its database of several hundred observation descriptors classified by theme, Obsiva is an invaluable tool for people seeking a better understanding of the natural world. Whether you're a naturalist, a hiker, a nature photography enthusiast or simply someone who enjoys spending time outdoors, Obsiva is the tool you need to improve your observation and understanding of nature.
You can try Obsiva for free with one observation, or take advantage of our paid version for a more complete use.
There are many aspects that can be taken into account to describe nature, such as animal and plant species, climate, relief, soils, etc. I'll give you an example of an Observable.fr matrix to describe a nature place:
Each of these child nodes could have sub-nodes for a more detailed description of nature. For example, for the animal species, you could add sub-nodes for each specific species, for the flora, you could add sub-nodes for the different plant families, for the climate, you could add sub-nodes for the different seasons, and so on.
Other articles will be added to the nature theme.
A template is a predefined pattern of observations created by another user that you can immediately use to save time and discover different approaches. Any user can create a template and choose whether or not to share it with the public. You can add a model to your library, modify it and adapt it for new uses. You can also add a model directly to a current study or to a new study.
A template is composed of the following information:
The objective of the observational study
Possible additional explanations
All named analysis objectives (tabs)
All first-level descriptors in each analysis (N:0)
The category of the model according to the type of observation
The pseudo of the creator of the study