Geographical Data Collection with Object Identifiers, Area Measurements, and Geometrical Attributes
The table under discussion is a part of a dataset collection and it provides a wealth of information that can be of immense interest to data analysts. It originates from 'Lantmäteriet' (The Land Survey), a website based in Sweden.
The table is unique as it contains a blend of both temporal and geographic data. It provides information about the date when the data was extracted along with a unique row number for each extraction. This combination allows for each row to be uniquely identified, making it easy to track changes over time.
One of the key features of this table is its geographical data, which was originally in the shapefile format. Shapefile is a popular format for storing geographic features, including points, lines, and polygons. However, in this table, the geographic data has been transformed into a more versatile and universally usable format.
The data within this table can be employed in various forms of data analytics. For example, it can be utilized to track changes in geographic features over time, given the unique combination of extraction date and row number. Furthermore, it could be used in spatial analytics, where the geographic information can help in identifying patterns or trends based on location. Moreover, if the table contains demographic data or other attributes, it could also be used for predicting future trends or performing risk assessments.
Field Descriptions
| Name | Data type | Description |
|---|---|---|
| _extract_date | date | This column contains the date when the specific row's data was extracted from the source, which helps in tracking the data extraction process. |
| _row_number | long | This column contains the row number from the data extracted on the specific extract date. This, in combination with the _extract_date, uniquely identifies each row. |
| OBJECTID | long | This column contains unique identifiers for each object in the table. |
| ID | string | This column represents the identification number of each entry within the table. |
| CODE_12 | string | This column contains unique code values associated with the data entries. |
| Area_Ha | double | This column represents the area measurement of the geographical entities in hectares. |
| Remark | string | This column contains any additional comments or remarks related to the data entries. |
| Shape_Leng | double | This column represents the length of the geographical shape associated with the data entry. |
| Shape_Area | double | This column contains the area of the geographical shape associated with the data entry. |
| geom_geojson | string | This column contains the geographical data in GeoJSON format. |
| geom_geotext | string | This column contains the geographical data in geotext format. |
| geom_type | string | This column specifies the type of the geographical data. |
| geom_centroid | string | This column contains the centroid point of the geographical shape. |
| geom_center_x | double | This column represents the X coordinate of the center point of the geographical shape. |
| geom_center_y | double | This column represents the Y coordinate of the center point of the geographical shape. |
No sample for this dataset
Additional Information
| Last updated | August 26, 2024 |
|---|---|
| Created | August 26, 2024 |
| License | No License Provided |
| Geographic coverage | |
| Geographic granularity | |
| Temporal coverage from | |
| Temporal coverage to | |
| Temporal coverage to | |
| Adapter | shapefile |
| Country | se |
| Database | se_lantmateriet |
| Extract date | 2024-08-26 |
| Id | 08521419-66c7-4193-a5a8-42664fd830e4 |
| Package id | 79417cf1-463f-47d0-a7ee-b3e1ee603243 |
| Position | 12 |
| Revision id | 2cda38f3-1dc3-4235-90a3-d2581a186609 |
| State | active |
| Table | gavleborg_zip__clc12_68e_no |