Geospatial Data Analysis of Land Properties in Sweden
The table in question is a structured dataset, sourced from the 'Lantmäteriet' website, which is based in Sweden. This table is part of a larger collection of similar tables. It contains a variety of data, with each row uniquely identified by a combination of the date the data was extracted and the row number from the original data source. This unique identification method ensures that each row of data can be accurately traced back to its original source and extraction date.
The table contains geographical data, initially in shapefile format, a commonly used format for storing the geometric location and attribute information of geographic features. This data has been transformed from its original format into a more versatile format for ease of use. Geographic features within the dataset can be represented as points, lines, or polygons (areas), providing a multitude of ways to visualize and interpret the data.
Some columns in the table are particularly noteworthy. One contains the area of the geographic feature in hectares, while others provide details on the shape and geographic coordinates of the features. There is also a column for any additional remarks about the data.
Given the nature of the data, there are numerous potential applications in data analytics. For example, the data could be used to analyze geographical patterns and trends, such as changes in land use over time. It could also be used to identify geographical features of interest for environmental studies, infrastructure planning, or real estate development. Furthermore, the data could be used in predictive models to forecast future changes in the geographical landscape, utilizing variables such as area, shape, and geographical coordinates.
Field Descriptions
| Name | Data type | Description |
|---|---|---|
| _extract_date | date | The date when the data on the row was extracted from the data source. |
| _row_number | long | The row number in the data extracted from the source on the extract date. The combination of _extract_date and _row_number uniquely identifies each row. |
| OBJECTID | long | A unique identifier for each object in the table. |
| ID | string | An additional identifier for each record. |
| CODE_12 | string | A specific code associated with the record. |
| Area_Ha | double | The area of the object or region represented by the record, measured in hectares. |
| Remark | string | Any additional notes or comments about the record. |
| Shape_Leng | double | The length of the shape or object represented by the record. |
| Shape_Area | double | The area of the shape or object represented by the record. |
| geom_geojson | string | The geometry of the object or region, represented in GeoJSON format. |
| geom_geotext | string | The geometry of the object or region, represented in a textual format. |
| geom_type | string | The type of geometry used to represent the object or region. |
| geom_centroid | string | The centroid or the geometric center of the object or region. |
| geom_center_x | double | The x-coordinate of the center of the object or region. |
| geom_center_y | double | The y-coordinate of the center of the object or region. |
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 | 9de2bbc7-e19b-4d5f-ae23-fd661074f547 |
| Package id | 1453d6cd-4a88-47c4-a433-b16478346411 |
| Position | 6 |
| Revision id | 634948dc-0ff9-441a-b568-3ee32c995086 |
| State | active |
| Table | jonkoping_zip__clc12_63e_no |