Index 100km: A Comprehensive Geographical Dataset with Detailed Geometric and Spatial Properties
The 'index_100km' table is a valuable collection of geographic data, sourced from Lantmäteriet (The Land Survey) in Sweden. It offers a variety of geographic details, transformed from shapefile format into a more convenient structure for data analysis. This transformation includes points, lines, and polygons (areas) that represent different geographic features.
The table's organization is quite unique. There are two special columns providing the extraction date of the data and the row number for that particular extraction. These two columns work together to uniquely identify each row of data.
One of the standout features of this table is its inclusion of geographic information in different formats, enabling versatile applications. Whether it's the geometric representation of the data in GeoJSON format, textual representation of the geography, or information about the type, centroid, and center coordinates of the geographical feature, this table offers it all.
As for its use cases in data analytics, the possibilities are numerous. For instance, the geographic data can be used to create detailed maps for various research purposes. Analysts can study the changes in geographic features over time by focusing on the extraction date and the corresponding geographic data. Also, the geographic data can be used in developing location-based services, enabling businesses to make data-driven decisions or government agencies to plan infrastructure projects effectively.
Field Descriptions
| Name | Data type | Description |
|---|---|---|
| _extract_date | date | This column contains the date when the data on the row was extracted from the data source. |
| _row_number | long | This column contains the row number in the data extracted from the source on the extract date. It helps in uniquely identifying each row when combined with the extract date. |
| SHAPE_Leng | double | This column represents the length of the shape in the geographical data. |
| SHAPE_Area | double | This column represents the area of the shape in the geographical data. |
| BK | string | Details about this column are not provided. It may contain specific information related to the dataset. |
| geom_geojson | string | This column contains the geometric data in GeoJSON format. GeoJSON is a format for encoding geographic data structures. |
| geom_geotext | string | This column contains the geometric data in text format. |
| geom_type | string | This column specifies the type of geometric data (like Point, LineString, Polygon etc.). |
| geom_centroid | string | This column contains the centroid of the geometric shape. The centroid is the arithmetic mean position of all the points in the shape. |
| geom_center_x | double | This column represents the X coordinate of the center of the geometric shape. |
| geom_center_y | double | This column represents the Y coordinate of the center of the geometric 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 | c99caa8f-ab42-4224-b07d-e910a154a6a0 |
| Package id | ec4ee5c0-ed07-48c5-94c6-6abd08c7e1d7 |
| Revision id | 53c63614-c8db-4b56-976c-4c06f1307155 |
| State | active |
| Table | index_100km_zip__index_100km |