Large Areas Forecast for 2023 at 1:4 500 000 Scale

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The table, part of the dataset collection 'tilastointialueet_suuralue4500k_2023', contains data referring to the 'Large Areas 2023 (1:4 500 000)' in Finland. The data is sourced from the 'Tilastokeskus' (Statistics Finland) website.

The data fields include geographical information, such as the type of geographical shape (multipolygon, for example), the centroid of the shape, and the center's x and y coordinates. This geographic information, provided in the WGS 84 coordinate reference system, is useful for geospatial data analytics, including the creation of geographic visualizations or the analysis of spatial patterns and relationships.

In addition to geographical data, the table includes descriptive identifiers and attributes such as 'name', 'namn', 'nimi', and 'suuralue', which provide the names of the areas in different languages and their corresponding code. The 'vuosi' field indicates the year the data refers to, which in this case is 2023.

To ensure data integrity, each row in the table is uniquely identified by a combination of '_extract_date' and '_row_number'. The '_extract_date' field represents the date the data was extracted, and the '_row_number' signifies the row's position in the data extracted from the source.

The diversity of the data fields suggests a wide range of potential uses in data analytics. For instance, one could analyze spatial patterns over time by comparing tables from different years or use the data to study regional variations across Finland. The geographic coordinates could be used to create interactive maps for visual presentations. The unique identifiers could be used to track changes in specific data points over time.

Field Descriptions

Name Data type Description
_extract_datedateThis column records the date when the specific row of data was extracted from the source. This allows for historical tracking of changes in the data set.
_row_numberlongThis column lists the row number of the extracted data from the source. This, combined with the '_extract_date', uniquely identifies each row.
geom_geojsonstringThis column contains GeoJSON formatted geographical data, representing the shape of the large areas in a multi-polygon format.
geom_geotextstringThis column features geographical data in a text-based format, specifically representing multi-polygon shapes.
geom_typestringThis column specifies the type of the geometric data stored, in this case, multi-polygon.
geom_centroidstringThis column contains the geographical coordinates of the centroid (geometric center) of the large areas.
geom_center_xdoubleThis column contains the X-coordinate (longitude) of the geometric center of the large areas.
geom_center_ydoubleThis column contains the Y-coordinate (latitude) of the geometric center of the large areas.
gml_idstringA unique identifier for each large area.
namestringThe English name for each large area.
namnstringThe name of each large area in Swedish.
nimistringThe name of each large area in Finnish.
suuraluestringA numeric identifier for each large area.
vuosilongThe year the data pertains to.

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Additional Information

Last updated November 11, 2024
Created November 11, 2024
License No License Provided
Geographic coverage
Geographic granularity
Temporal coverage from
Temporal coverage to
Temporal coverage to
Countryfi
Databasefi_tilastokeskus
Extract date2024-11-11
Idd59b658e-d389-40d4-9b70-4a6f42e9df88
Package id3e20adb9-1128-43f3-95c5-04e56db24172
Revision idb267189b-5bbd-463e-a97d-e31b1827fb93
Stateactive
Tabletilastointialueet_suuralue4500k_2023__table