Abstract
Unified geo‐reference data model is a very important part of national geographic information management. It has been developed within the project of Lithuanian geographic information infrastructure in 2006–2008. This model allows automated integration of large scale (mainly municipality) geo‐reference data into the unified national geo‐reference database. It is based on unique object identifiers across all geo‐reference databases and on standard update and harmonisation procedures. The common stages of harmonisation of geo‐reference databases at different scales include: implementation of a unique identifier of geographic objects across all databases concerned; definition of the life cycle of the objects; definition of cohesion boundary and of the harmonisation points along the boundary; maintenance of the local database and automatic update of the national database using special service. When implemented, such model will significantly facilitate maintenance of national geo‐reference database and in five years from full implementation will have a significant economic effect. Santrauka Lietuvoje atlikta savivaldybėse kaupiamų erdvinių duomenų analizė parodė, kad tik didesniu miestų savivaldybės kaupia erdvinius duomenis, tačiau erdvinių duomenų sandaros skirtingos. Nacionaliniu lygmeniu kuriamos erdviniu duomenų bazės nesuderintos tarpusavyje, dubliuojamas erdviniu duomenų kaupimo procesas, orientuojantis į skirtingų masteliu žemelapių gamyba. Bendras georeferenciniu duomenų modelis (VGDM) apima georeferencinių duomenų konversija iš įvairių mastelių oficialių geografinių duomenų rinkinių, o ypač iš savivaldybių georeferencinių duomenų rinkinių į bendrą valstybės georeferencinių duomenų bazę (VGDB) ir nuolatinės VGDB atnaujinimo procedūras. VGDB atnaujinimo technologijos pagrindas ‐ geoobjektų (vektorinių geografinių duomenų elementų) egzistavimo ciklas ir pokyčių sekimas. Georeferencinių duomenų modelis reiškia, kad yra numatytas kelias pasiekti efektyvią įvairių mastelių oficialių duomenų bazių sąveiką.
Highlights
Intense recent development of spatial data infrastructures worldwide has led to new possibilities of geographic data management and attempts to improve information sharing
We have developed an exchange model based on several unpublished studies performed in Lithuania (Feasibili ... 2004; LGII informacinė sistema ... 2007; a study of municipal capabilities and expectations from national spatial data infrastructure performed in 2009, etc.)
Large amount and integration of different scales are characteristic to spatial data infrastructures in these countries
Summary
Intense recent development of spatial data infrastructures worldwide has led to new possibilities of geographic data management and attempts to improve information sharing. It has become evident that consistent and unified geographic information systems at national and municipal level have to be developed in order to achieve efficiency of geographic data exchange and to fully benefit from the exchange, i.e., to re-use collected data for various purposes instead of collecting them many times (Mardal and Lillethun 2005; Morales 2006). Large scale geographic data collected at municipality are important for decision making in the field of construction, development of urban infrastructure, economy and tourism, environmental and cultural heritage protection etc. Organisational problems and models of efficient horizontal (between different thematic datasets) and vertical (between local, national and regional datasets) data exchange are often mentioned in various studies (Quak and de Vries 2006; Bulens et al 2007) but rarely analysed scientifically, mostly because these investigations are rather recent and time is needed to make conclusions about sustainability and expansibility of any proposed model. It is a strategically important step towards efficiency of national topographic cartography
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