Geographical Attributes and Characteristics Collection
The table in question is a part of a dataset collection, which houses a broad range of related data. These data points are neatly organized into rows and columns for ease of understanding and analysis. This particular table is distinctive because it contains two special columns that work in tandem to uniquely identify each row. One of these columns houses the date the data was extracted from the source, while the other contains the row number in that extracted data.
The table is sourced from the 'Lantmäteriet' website based in Sweden. Lantmäteriet, or the Swedish Land Survey in English, is known for its extensive collection of geographic data. This particular table is no exception, with its geographic information initially in the shapefile format, a common format for storing geometric location and attribute information of geographic features. This data has since been transformed into the final geographic format for ease of use.
The data in this table provides a wealth of opportunities for data analytics. For instance, analysts may track changes over time in geographic features by comparing the extraction dates. This could facilitate the study of land use changes or environmental shifts. Alternatively, the data could be used to identify patterns or anomalies in geographical locations, potentially informing decisions in areas like construction, conservation, or urban planning. The unique identification of rows allows for precise tracking and analysis of individual data points across various parameters.
Field Descriptions
Name | Data type | Description |
---|---|---|
_extract_date | date | This column contains the date when the data on the row was extracted from the source. It is one of the special columns in this table. |
_row_number | long | This column contains the row number in the data extracted from the source on the extract date specified by the column '_extract_date'. It is another special column in the table and in combination with '_extract_date', it uniquely identifies each row. |
OBJECTID | long | This column represents the Object ID associated with each row of data. |
ID | string | This column represents the unique identifier of each data entry. |
CODE_12 | string | This column contains the 12-digit code associated with the data entry. |
Area_Ha | double | This column represents the area in hectares for the data entry. |
Remark | string | This column contains any additional remarks or comments regarding the data entry. |
Shape_Leng | double | This column represents the length of the shape associated with the data entry. |
Shape_Area | double | This column represents the area of the shape associated with the data entry. |
geom_geojson | string | This column contains the GeoJSON geometry representation of the data entry. |
geom_geotext | string | This column contains the text representation of the geographical data entry. |
geom_type | string | This column represents the type of the geometry of the data entry. |
geom_centroid | string | This column contains the centroid of the geometry of the data entry. |
geom_center_x | double | This column represents the X coordinate of the center of the geometry of the data entry. |
geom_center_y | double | This column represents the Y coordinate of the center of the geometry of the data entry. |
No sample for this dataset
Additional Information
Last updated | August 27, 2024 |
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Created | August 27, 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 | 526d6a19-8c5b-4172-a189-7fefd81d5efd |
Package id | bdfc37ab-2d87-436a-ba7b-6312fe00922e |
Position | 2 |
Revision id | 2e521aaf-537a-4a26-bdc1-6fce52e8f2e5 |
State | active |
Table | varmland_zip__clc12_65e_so |