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High-Value dataset category from a European vocabulary. A High Value Dataset is public sector information whose re-use has significant benefits for society, the environment and the economy, in particular because of its suitability for services, job creation and other value-added applications.

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2 datasets found

INSPIRE theme Land use (LU)

The INSPIRE Land Use data are harmonised according to INSPIRE implementing rules and conform to the INSPIRE XML schema version 4.0. The dataset is processed according to the Existing Land Use application schema. This land use dataset for the Czech Republic therefore has a unified structure consistent with other data produced for this INSPIRE theme across Europe. Objects are represented by a vector component with attributes containing additional information about the objects. The source dataset is the Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®). Land use information is derived from observed reality as represented in the geographical data. The Hierarchical INSPIRE Land Use Classification System (HILUCS), required by Commission Regulation (EU) No 1089/2010, is used to classify land use.

HVD High value dataset. Atom Feed Dataset is distributed using Atom Feed.

ZABAGED® - Planimetric Components

The Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®) is a vector geographical digital model of the territory of the Czech Republic. At present, the planimetric component of ZABAGED® consists of 145 types of geographical objects: settlements, transport networks, utility networks and pipelines, hydrography, territorial units and protected areas, vegetation and land cover, terrain relief, and selected data on geodetic control points. The objects are represented by a two-dimensional vector spatial component and a descriptive component containing qualitative and quantitative information about the objects.