Geospatial Analysis Data Table for Ostergotland Dataset Collection

The table under consideration forms part of a wider dataset collection and is sourced from Lantmäteriet, a reputable entity based in Sweden. It is structured with a range of columns, each serving a specific purpose. Two of these columns play a pivotal role in identifying each row of data. One contains the exact date when the data was extracted, and the other keeps track of the row number in the data extracted. This duo uniquely identifies each row. A significant feature of this table is the inclusion of geographic information, which has been transformed from the shapefile format - a standard for storing geometric location and attribute details of geographic features. This data could take the form of points, lines, or polygons.

In the realm of data analytics, the table’s data can be leveraged in several ways. For instance, tracking changes in data over time can be done efficiently using the date of extraction, making it easier to identify trends or anomalies. The geographic information can be used to create detailed maps or spatial analyses. Additionally, if there is a need for a unique identifier for each row, the combination of extraction date and row number can serve this purpose perfectly.