When adding new data layers to a project, what is a recommended approach?

Creating new layers from existing data using export tools is a recommended approach when adding data layers to a project. This method allows for better management and organization of data within the GIS project. By exporting data, users can create unique layers that are tailored to their specific needs, which can include filtering out unnecessary information, ensuring data integrity, and optimizing performance.

Exporting also allows users to save a layer in a format that is more suitable for their project requirements, such as reducing the size of the dataset or converting it to a format more compatible with other GIS software. This practice offers the advantage of maintaining version control, enabling users to preserve the original dataset while working with copies that can be modified without impacting the source data.

Linking directly to original sources may lead to challenges, such as dependency on external databases or file systems that may change or become inaccessible, while only importing data in raster format restricts the versatility and analysis options available to the user. Compiling multiple layers into one can sometimes be a useful approach, but it may also lead to loss of granularity and make it difficult to manage or analyze specific components of the data independently.

Overall, creating new layers through export tools is an effective strategy that enhances the functionality and maintainability of GIS projects.