On the ribbon, on the Project tab, click Options. Before investigating the data, let’s check if the project contains any information describing the map.
It would be useful to know more about the history, completeness, purpose, and accuracy of the data from which the layers in the map were derived.
Multipatch nyc pro#
The ExploreMetadata ArcGIS Pro project opens to display a map containing layers of data for Warren County, Mississippi.
Multipatch nyc how to#
Note: If you don’t have ArcGIS Pro or an ArcGIS account, you can sign up for a free 21-day ArcGIS trial that includes both ArcGIS Pro and ArcGIS Online.ĭownload the sample project, Explore Metadata in ArcGIS Pro, to follow along and learn how to document data in ArcGIS Pro. If prompted, sign in to ArcGIS Pro using your licensed ArcGIS account. Click the downloaded item to launch and open it in ArcGIS Pro. Choose Open in ArcGIS Pro to download the item. Go to the ArcGIS Online item, Explore Metadata in ArcGIS Pro. After downloading the sample project, you can follow along and learn how to document data in ArcGIS Pro. This exercise will introduce the metadata tools available in ArcGIS Pro. Once created, metadata is copied, moved, and deleted with the item when it’s managed by ArcGIS. Metadata is saved in a geodatabase for geodatabase items, in a project for project items, and in the file system for file-based items. In ArcGIS, metadata is saved with the item it describes. You can document the content and project items you create and use, including maps, projects, geoprocessing models, and geodatabase datasets. For this reason, metadata is essential to the effective use of a GIS. It provides a way to document information about your data so that potential users of that data will be able to see if it is suitable for their needs. Metadata allows for the effective sharing of data and knowledge across an organization or a larger community of GIS users.
Have you ever wanted to use a dataset but didn’t know its history, completeness, purpose, or accuracy? If you do not know much about your data, it is difficult to know how reliable and useful your analysis is.
0 kommentar(er)
