Polygonal Geographical Data with Aerial Photography and Geometric Characteristics

The table under discussion is a comprehensive collection of geographic data, organized in a structured row-column format. It belongs to a larger dataset of geographic information, with each table in the collection focusing on a particular aspect of the data. This table primarily deals with polygons, which are part of geographic features that can be represented as points, lines, or polygons (areas).

Each row in the table is unique and is identified by a combination of the extraction date and the row number from the original data source. The extraction date indicates the specific date when the data on a particular row was extracted, while the row number gives the position of the row in the data extracted.

The table contains a variety of columns that house different types of data. Some columns store the geometric location and attribute information of geographic features, which have been transformed from the original shapefile format to a more final geographic format. Other columns contain additional information that further describes the data in the rows.

This table's data is sourced from the 'Lantmäteriet' website, which is based in Sweden. The geographic information in this dataset has undergone transformations to be presented in its final format.

In terms of data analytics, this table offers a wealth of opportunities. For instance, the polygon data could be used to perform spatial analysis, helping to study and understand the patterns and relationships of geographic phenomena. The unique identifiers of each row (extraction date and row number) could assist in tracking changes over time, providing valuable insights into temporal trends. Furthermore, the various other descriptive columns could be used to conduct detailed data mining, revealing hidden patterns and correlations within the data.