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Metatiedon tiedot
Metatiedon kieli: en
Metatiedon julkaisupäivämäärä: 2013-06-28
Metatiedon viimeisin päivitys: 2016-02-09
Metatiedosta vastuussa oleva osapuoli: Finnish Environment Institute
Organisaation rooli: Yhteystaho
Vastuutahon sähköposti: alu_tuki@ymparisto.fi
Aineiston tunnistamistiedot
Aineiston nimi: YKR Spatial structure
INSPIRE-id: NaN
Aineiston päivityspäivämäärä: 0201-09-11
Aineiston kieli: fi
Tiivistelmä: The YKR Spatial structure delineation is a spatial dataset created for describing and monitoring spatial structure. The dataset is based on the Monitoring System of Spatial Structure and Urban Form (YKR) produced by the Finnish Environment institute. The data is presented in 250 x 250 meter statistical grid-cells. The values of the cells are a product of spatial analysis of statistical data regarding population, the number of buildings, floor area and building density. The four spatial structures delineated using the statistical data are localities (densely populated areas), villages, small villages and sparsely populated rural areas. The delineation of localities is implemented in several phases. Localities are densely built areas that have more than 200 inhabitants. Localities are described within specific threshold values concerning the population, number of buildings, floor area of buildings and building density. The delineation of localities extracts densely populated grid-cells from sparsely populated grid-cells. The threshold values have been selected on the basis of examinations of several different sample areas so that regional differences are taken into account as well as possible. The YKR-localities are classified with slightly stricter rules than the general Nordic standard, which has an outline limit set for at least 200 inhabitants and no more than 200 meters distance between buildings. The YKR-based delineation method of localities is comparable both in space and time. The delineation of villages describes rural agglomerations smaller than localities in sparsely populated areas. Thus villages are not included in the delimitation of localities. Villages have two categories based on the number of population. Small villages have 20-39 inhabitants and villages have more than 39 inhabitants. Areas outside localities and villages are classified as sparsely populated rural areas, if there is at least one residential unit within one kilometer radius. The Finnish title of the dataset is YKR Aluejaot. This dataset belongs to SYKE’s open data collection (BY CC 4.0).
Aineiston tyyppi: Vektori
Aineiston status: Valmis
Ylläpitotiheys: vuosittain
Mittakaava: 100000
Aineistosta vastuussa oleva osapuoli: Finnish Environment Institute (SYKE)
Aineiston vastuutahon rooli: Omistaja
Aineiston vastuutahon sähköposti: gistuki.syke[at]ymparisto.fi
Käyttötarkoitus: YKR spatial structure delineations are produced by SYKE to support monitoring of urban form and spatial structure. The division to densely and sparsely populated areas is one of the basic divisions used in the Monitoring System of Spatial Structure and Urban Form (YKR). Especially the development of densely populated areas (localities) has been important guiding element for the land use planning.
Myötävaikuttanut taho: Statistics Finland
Lisätietoja: http://geoportal.ymparisto.fi/meta/julkinen/dokumentit/YkrSpatialStructure.pdf
Esimerkkikuva
URL: http://geoportal.ymparisto.fi/meta/julkinen/kuvat/YKRAsutus.jpg
Aiheluokka
Teema: Aluesuunnittelu/kiinteistöjärjestelmä
Koordinaattijärjestelmä
Koordinaatisto: 3067
Vertausjärjestelmän organisaation tunniste: ETRS-TM35FIN
Avainsanat
Inspire-teemaluokka
Teema: Maankäyttö
GEMET 3.1
Teema: maankäyttö
Maantieteellinen kattavuus
Länsi (long): 18.7657
Etelä (lat): 59.4772
Itä (long): 31.1762
Pohjoinen (lat): 70.3396
Zoom to the resource envelope
Muu kattavuustieto
Sijainnillinen ja ajallinen kuvaus: Syke’s open information service delivers the most current version of the dataset as well as the historical data at five year intervals from 1990 onwards including only the land area information. Current version is updated on a yearly basis. For the internal use in environmental administration the data is available at five year intervals from 1990 onwards and on a yearly basis from 2011 onwards and includes all the attribute information. Names and id’s of the localities are included in a separate Localities (densely populated areas) –dataset, which is also available from the open information service.
Laatutiedot
Historiatiedot: YKR spatial structure delineations have been produced by combining and analyzing statistical information in 250m x 250 meter grid-cells using spatial analysis tools. The variables analysed are building efficiency, building type and population density. Most of the data is produced by Statistics Finland. The information about land cover and water surface area are calculated from the Corine Land Cover data.
Prosessointihistoria Localities (Densely populated areas) The main datasets used in the delineation of localities have been: • the number of buildings (agriculture buildings and holiday homes excluded) • the floor area of buildings (agriculture buildings and holiday homes excluded) • population and • the relations between the variables mentioned above measured in distance Through this delineation procedure, it is ensured that following characteristics of localities/densely populated areas are taken into account: • Single buildings with large floor areas that are located at an edge of a densely area and are functionally part of the area should be included in the delineation of localities. • Elongated and narrow settlements along rivers, roads or shorelines that are sparsely populated and resemble rural areas should be excluded from the delineation of localities. • Large open areas inside the localities should be excluded from the delineation, for example, large unbuilt areas, sparsely built areas, fields, forests, waters. The delineation of localities is carried out using the statistical grid (250 x 250 m) of building stock and population. The nationwide grid is generalized with neighborhood analysis by counting to each single cell the sum of buildings that fall in cells within 1 km radius from that cell. Then the cells that have a sum of over 39 buildings are selected. After that a new generalization process is implemented by counting the floor area sum of eight neighboring cells using only the cells selected in the previous phase. From these only the ones having the floor area sum of over 1 499 are selected to form a grid. From this grid, the cells consisting of unbuilt or sparsely built areas are excluded. Then the cells from the original statistical grid that have a center point which falls within the grid formed in the phase 4 are selected. From this selection the cells with more than one building or floor area sum larger than 299 are selected. Those cells are then buffered outwards 250 meters and dissolved. This buffer is further buffered inwards 250 meters. The last buffer is used to select cells from the original grid. From this selection the cells that touch each other are then unified to a polygon. Population is then counted for the formed areas. Those areas with population over 199 are selected to be densely populated areas, localities. Villages and small villages Criteria 1. The continuous built-up areas where the summed amount of buildings within the 8 surrounding cells of each 250 m x 250 m grid cell is at least six (6). 2. The area is not included in the delineation of localities. 3. The minimum population of the area is 40. Areas with population between 20 and 39 are separately classified as small villages. 4. Holiday homes are not taken into account. All 250 m x 250 meter built-up cells that are not included in the locality delineation (not including holiday homes) are summed with the surrounding 8 cells by the number of buildings. Summed cells that have more than five (5) buildings are then selected and dissolved into continuous areas. Village (and small village) polygons are formed so that the adjacent cells and cells having a contact in corners are forming a continuous area. Continuous areas that fall outside localities and the number population is between 40 and 200 are classified as villages and areas with population between 20 and 40 are classified as small villages. The village delineation method covers many morphologic types of population concentrations such as elongated and narrow settlements along rivers, roads or shorelines, continuous population clusters or evenly spread condensations surrounding localities. The nearest neighbor method has been found very suited for representing morphologically varied population concentrations: it is sensitive enough to register villages of different forms, but still keeps from fragmentizing neighborhoods. Sparsely populated rural area YKR Sparsely populated rural areas represent the areas, that do not meet the requirements of localities, villages or small villages and there are at least one inhabitant within one kilometer radius. Unpopulated islands can also be classified as sparsely populated rural areas, if they meet the requirements by having at least one inhabitant within one kilometer on the mainland or another island. Unpopulated fringe areas of localities, villages and small villages that do not include in these delineations may also be classified as sparsely populated areas because of the analytic effects of nearby settlements.
Rajoitukset
Saatavuus- ja käyttöehdot: SYKE applies Creative Commons By 4.0 International license for open datasets.
Saantirajoitteet: Lisenssi
Käyttörajoitteet: Lisenssi
Turvaluokittelu: Julkinen
Lupateksti: Source: SYKE/YKR
Jakelutiedot
On Line -osoite: http://www.syke.fi/openinformation
Metatietostandardin tiedot
Metatietostandardin nimi: ISO 19115 Geographic Information - Metadata
Metatietostandardin versio: DIS

The license for open SYKE's open datasets is Creative Commons Attribution 4.0 International.

The data described here can be freely used to all purposes, provided that the source of the data is mentioned.

The citation for the dataset as given above.

Further information on the license:
https://creativecommons.org/licenses/by/4.0/legalcode (English)
https://creativecommons.org/licenses/by/4.0/legalcode.fi (Finnish)

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