Regions of Finland 2022 (Scale 1:4 500 000) - Data Table
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The table in discussion forms a part of a larger dataset collection and is a structured compilation of related data from Finland. It carries a rich variety of information, mainly revolving around the geographic and administrative divisions known as 'maakunta' for the year 2022 at a scale of 1:4,500,000. The data originates from 'Tilastokeskus' (Statistics Finland), a reputable web source in Finland. Each row in the table corresponds to a unique data extraction, with the extraction date documented for reference. The rows are numbered for easy identification and retrieval, with the combination of extraction date and row number creating a unique identifier for each row. A prominent feature of this table is its geospatial data, with multiple columns dedicated to geographic information that can be leveraged for geospatial data analytics. This information is presented in the globally recognized WGS 84 coordinate reference system, with the axis order being longitude first, followed by latitude. For instance, one of the columns contains geojson data which can be used to create detailed geospatial visualizations. Another column captures the geometric type of the region, such as whether it is a polygon or a multi-polygon. The centroid points and center coordinates of the geographic entities are also recorded, providing a simplified representation for analysis. The table also includes information about the 'maakunta' such as its name in different languages. This table could serve as a valuable resource for studies into regional demographics or socio-economic patterns, geospatial analysis, environmental research, urban planning, and much more. Its detailed geospatial data can be used to create intricate visualizations and maps, aiding in the spatial understanding of various phenomena. The administrative division data can offer insights into regional characteristics and differences.
Field Descriptions
| Name |
Data type |
Description |
| _extract_date | date | This column indicates the date when the data in the row was extracted from the source. It allows for a temporal understanding of when the data was retrieved. |
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| _row_number | long | This column represents the row number in the data extracted from the source. Combined with the '_extract_date', it uniquely identifies each row. |
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| geom_geojson | string | This column contains the geographic data in GeoJSON format. It represents the spatial structure of the regions. |
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| geom_geotext | string | This column holds the geographic data in text format. It provides an alternative representation of the spatial structures. |
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| geom_type | string | This column specifies the type of geometric representation used for the region. It can be either a 'MULTIPOLYGON' or a 'POLYGON'. |
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| geom_centroid | string | This column contains the coordinates of the geometric center (centroid) of the region. |
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| geom_center_x | double | This column holds the x-coordinate of the region's centroid. |
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| geom_center_y | double | This column holds the y-coordinate of the region's centroid. |
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| gml_id | string | This is an identifier column, which assigns a unique ID to each row. The ID is composed of the dataset name and the row number. |
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| maakunta | string | This column contains a coded representation of the regions in the dataset. |
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| name | string | This column includes the English names of the regions within the dataset. |
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| namn | string | This column holds the names of the regions in Swedish. |
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| nimi | string | This column contains the Finnish names of the regions. |
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| vuosi | long | This column represents the year the data pertains to. In this dataset, it corresponds to the year 2022. |
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