Regions 2017 (1:4 500 000) - Organized Data Collection

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The table, a part of the 'tilastointialueet_seutukunta4500k_2017' dataset, contains detailed geospatial data, specifically pertaining to the 2017 Regional Units at a scale of 1:4 500 000. This intricate data, sourced from the 'Tilastokeskus' website in Finland, offers a wealth of information suitable for a variety of data analytics. It encompasses unique identifiers for each data row along with the date of data extraction, and a range of geographic details that can be leveraged for geospatial data analytics.

For instance, the columns beginning with 'geom_' house geographic coordinates and types, such as 'geom_geojson', 'geom_geotext', 'geom_type', 'geom_centroid', 'geom_center_x', and 'geom_center_y'. These fields provide data in formats like GeoJSON and GeoText, with geographic types clearly identified, along with centroid and center coordinates. All geographic coordinates are presented using the WGS 84 coordinate reference system, with longitude first, followed by latitude.

In addition, the table contains columns that identify the name of the region in various languages, including 'name', 'namn', and 'nimi', and the year of data as 'vuosi'. The column 'seutukunta' provides a specific regional code.

In terms of data analytics, this table could be instrumental in various ways. For instance, the geospatial data can be used to create detailed maps, analyze regional trends, or identify patterns in data distribution across different regions. The data can also be used to track changes over time, leveraging the '_extract_date' and 'vuosi' fields. The multi-language name fields can be used to create region-specific analytics in various languages.

Finally, the special column '_extract_date' provides the date when the data was extracted, and '_row_number' gives the row number in the extracted data. Together, these columns uniquely identify each row in the table, offering a reliable way to reference specific data points.

Field Descriptions

Name Data type Description
_extract_datedateThis is a special column that contains the date when the data on the row was extracted from the source. It helps in tracking the historical data extraction process.
_row_numberlongThis is another special column that contains the row number in the data extracted from the source, as per the extract date specified by the '_extract_date' column. Together, these two columns uniquely identify each row.
geom_geojsonstringThis column contains geographical data in GeoJSON format, which is a format for encoding a variety of geographic data structures.
geom_geotextstringThis column holds the geographical data in text format. The data represents multiple polygons that define the geographical boundaries.
geom_typestringThis column specifies the type of the geographical data contained in the 'geom_geojson' and 'geom_geotext' columns. In this case, it is a multipolygon type.
geom_centroidstringThis column contains the centroid of the geographical area represented by the multipolygon. The centroid is the geometric center of a two-dimensional shape.
geom_center_xdoubleThis column holds the X coordinate of the center of the geographical area represented by the multipolygon.
geom_center_ydoubleThis column contains the Y coordinate of the center of the geographical area represented by the multipolygon.
gml_idstringThis column contains a unique identifier for each row, possibly related to the geographical data.
namestringThis column contains the English name of the geographical area represented by the multipolygon.
namnstringThis column contains the name of the geographical area in another language, which could be local or regional.
nimistringThis column also holds the name of the geographical area in another language.
seutukuntastringThis column contains some form of code or identifier related to the geographical area.
vuosidoubleThis column contains real-type data, possibly indicating a year or time-related aspect.

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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
Id692cdaaf-f746-403a-b3f5-86ee3ffac157
Package ida5b92f04-1729-418e-a6a4-aac804b56807
Revision id8b36d70e-64d8-4e0f-9d23-548e5315baec
Stateactive
Tabletilastointialueet_seutukunta4500k_2017__table