Staðsetningarhnit og upplýsingar um þau raforkuver / virkjanir á Íslandi sem selja raforku inn á landskerfið, auk díselstöðva sem framleiða allt árið. Vatnsafl, jarðvarmi, vindorka, eldsneyti og varaafl, auk upplýsinga um virkar og aflagðar heimarafstöðvar.

Hydrography (HY) Iceland is one of 12 themes in the European Location Project (ELF). The purpose of ELF is to create harmonised cross-border, cross-theme and cross-resolution pan-European reference data from national contributions. The goal is to provide INSPIRE-compliant data for Europe. A description of the ELF (European Location Project) is here: http://www.elfproject.eu/content/overview Encoding: INSPIRE version 4

ELF Geographical Names (GN) Iceland is one of 12 themes in the European Location Project (ELF). The purpose of ELF is to create harmonised cross-border, cross-theme and cross-resolution pan-European reference data from national contributions. The goal is to provide INSPIRE-compliant data for Europe. A description of the ELF (European Location Project) is here: http://www.elfproject.eu/content/overview Encoding: INSPIRE version 4

ELF Transport Networks (TN) Iceland is one of 12 themes in the European Location Project (ELF). The purpose of ELF is to create harmonised cross-border, cross-theme and cross-resolution pan-European reference data from national contributions. The goal is to provide INSPIRE-compliant data for Europe. A description of the ELF (European Location Project) is here: http://www.elfproject.eu/content/overview. The transport layer contains both line and polygons. The linelayer shows the transport network but the polygon layer contains the airports. Encoding: INSPIRE version 4

Administrative Units (AU) is one of 12 themes in the European Location Project (ELF). The purpose of ELF is to create harmonised cross-border, cross-theme and cross-resolution pan-European reference data from national contributions. The goal is to provide INSPIRE compliant data for Europe. A description of the ELF (European Location Project) is here: http://www.elfproject.eu/content/overview Encoding: INSPIRE version 4

ELF Elevation (EL) Iceland is one of 12 themes in the European Location Project (ELF). The purpose of ELF is to create harmonised cross-border, cross-theme and cross-resolution pan-European reference data from national contributions. The goal is to provide INSPIRE-compliant data for Europe. A description of the ELF (European Location Project) is here: http://www.elfproject.eu/content/overview Encoding: INSPIRE version 4

EU-Hydro is a dataset for all EEA38 countries and United Kingdom providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. This metadata refers to the EU-Hydro coastline, which is disseminated as one shapefile merged for all 35 basins. The coastline is also included for each basin in the EU-Hydro River Network Database. The production of EU-Hydro and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.

Vatnajökull National Park was founded on June 7th 2008, although the act on Vatnajökull National Park was entered into force on May 1st 2007. It is the largest national park in Iceland by far, 14,967 km2. Vatnajökull National Park was inscribed as a UNESCO World Heritage Site on July 5th 2019. The boundary of Vatnajökull National Park, after its latest expansion on September 22nd 2021. The boundary is drawn in accordance to regulation on Vatnajökull National Park, No 300/2020, with later amendments. Disclaimer: If there is a difference between the data and the regulation text, then the regulation text applies. The data also includes all previous boundaries of the national park as well as current boundaries of operating areas.

Strandlínulagið inniheldur bæði línu- og flákalag og er strandlína landsins sýnd auk eyja og skerja.Í fitjuklasanum is50v_strandlina_linur er strandlína landsins, eyja og skerja sýnd. Hægt er að sjá hvort línan tilheyrir eyjum eða skerjum. Í laginu is50v_strandlina_flakar er strandlína landsins, eyja og skerjar sýnd.

A vector representation of stream networks is a crucial dataset for the modelling the surface water and groundwater components of the hydrologic cycle. For many usages a crucial attribute of the drainage network is a digital topology and hierarchal stream order attribute (e.g., Strahler stream order). In Canada jurisdictional stream networks are available for the provinces and territories and nationally for Canada in the National Hydrological Network (NHN) dataset. Unfortunately, the NHN data lacks the same topological and attribute information that is available for numerous provinces due to standardization for the entire country. For Canada1Water it was also necessary to have a harmonized dataset with the United States, for both the southern transboundary watersheds and the Alaskan watersheds. This report documents the processes completed to upgrade the topological and graph network support for NHN and provide continuous connectivity with US datasets. It also highlights and corrects a number of stream density and stream order issues that occur within Canada across provincial and territorial borders and NTS tiles. All vector processing was completed in RivEX software extension for ArcMap. Following complete topological correction stream classification was assigned and a table of the node graph network developed. Additional work was then completed to normalize stream density particularly amongst low-order streams between British Columbia and the Yukon and amongst local NTS tiles in Quebec and Ontario. Corrected NHN Strahler stream order assignment was validated against a number of provincial and watershed datasets, all of which already have Strahler stream order attributed. These datasets are the same underlying digitized vector data, so there are no differences in node or polyline positions. Strahler stream order assignment validation was only done by visual comparison as due to differences in vector segments a statistical comparison is complicated. The transboundary integrated C1W stream network with complete classification provides a seamless national dataset to support transdisciplinary studies (fisheries, wildlife, health, pesticide and nutrient issues, mining impact, ecosystem restoration, numeric modelling) that involve a knowledge of stream distribution and ranking.