Geospatial Data Analysis Table with Object Identifying and Geometric Information

The table in question is a comprehensive collection of geographic data sourced from Lantmäteriet, also known as the Swedish National Land Survey, in Sweden. It consists of a wide range of columns containing various data points. Notably, there are two special columns that contain the date of data extraction and the sequential row number from the extraction. These two columns together create a unique identifier for each row, thereby ensuring data integrity and traceability. While the geographic information in the original data source was in shapefile format, it has been transformed into a final format suitable for this dataset.

In the realm of data analytics, this table can be leveraged in numerous ways. For instance, the geographic data can be used to analyze the spatial distribution of different variables, enabling researchers to identify patterns and trends that are specific to certain locations. Furthermore, by tracking the changes in data over time using the extraction date, analysts can study temporal trends and fluctuations. These insights can be invaluable in a variety of fields, ranging from environmental studies to urban planning and beyond.