My GeoServer WFSThis is a description of your Web Feature Server. The GeoServer is a full transactional Web Feature Server, you may wish to limit GeoServer to a Basic service level to prevent modificaiton of your geographic data.WFS, WMS, GEOSERVERhttp://geoserver.sourceforge.net/html/index.phpNONENONEgeonode:l_water_wGIS data shows a thickness of runoff layer. This digital data was prepared in the frame of Global Environment Facility (GEF) and Armenian Renewable Resources and Energy Efficiency Fund Project “Development of Geographic Information System of Armenia for Renewable Energy Projects”hydrography, flooding, runoff, hydrology, low waterEPSG:28408geonode:model_2017Active faults map of the Republic of Armenia and adjacent territories at the scale of 1:500,000 was prepared by the GEORISK Scientific Research CJSC (Armenia) under the World Bank supported Project # 7179350 “Probabilistic Seismic Hazard Assessment for the Republic of Armenia”, implemented in Consortium with AIR Worldwide Corporation (USA) and GEM Foundation (Italy)features, model_2017EPSG:32638geonode:armenia_landslideMap shows location and shape of landslides on the territory of Armeniaarmenia_landslide, featuresEPSG:32638geonode:flooding_durationThis map shows average duration of spring floods in Armenia. It was prepared in the frame of Global Environment Facility (GEF) and Armenian Renewable Resources and Energy Efficiency Fund Project “Development Of Geographic Information System of Armenia for Renewable Energy Projects”hydrography, hydrology, floods, Flooding durationEPSG:28408geonode:max_precipitationThis map shows maximal daily quantity of precipitations have fallen once for 50 years. It has been obtained based on the analysis of direct observations of more than 180 monitoring points. Data of meteorological stations and observation points with short series of measurement had been reduced using cartographic method (for ultra-short series) and ordinary method of ratio.atmospheric_precipitationyear, climateEPSG:28408geonode:flooding_layerThis is a map of spring flooding thickness in Armenia, prepared in the frame of Global Environment Facility (GEF) and Armenian Renewable Resources and Energy Efficiency Fund Project “Development Of Geographic Information System of Armenia for Renewable Energy Projects”hydrography, hydrology, floods, Flooding layerEPSG:28408geonode:vegetation_armThis GIS layer shows a general vegetation types in Armenia.vegetation_arm, featuresEPSG:28408geonode:HydrogeologyThis layer shows main aquifer systems in Armenia. It has been digitized from Hydrogeological map originally downloaded from Water Resources Management Agency of the Ministry of Nature Protection of the Republic of Armenia (http://www.wrma.am/6.php).Aquifer, Hydrogeology, Water resources, Ground waterEPSG:28408geonode:Groundwater_zonesThis layer shows zones of groundwater in Armenia. It has been digitized from Hydrogeological map originally downloaded from Water Resources Management Agency of the Ministry of Nature Protection of the Republic of Armenia (http://www.wrma.am/6.php)groundwater, Hydrogeology, Water resourcesEPSG:28408geonode:springs0This layer shows main groups of mineral and freshwater springs in Armenia. It has been digitized from Hydrogeological map originally downloaded from Water Resources Management Agency of the Ministry of Nature Protection of the Republic of Armenia (http://www.wrma.am/6.php).hydrology, Water resources, mineral water, springs, HydrogeologyEPSG:28408geonode:radiance_durationGIS layer provides information about average annual solar radiance duration in hours. This map has been created using observation data from 22 meteorological stations.clmate, solar, radiation, radianceEPSG:28408geonode:armenia_precGIS data shows average annual precipitation level in Armenia. It has been obtained based on the analysis of direct observations of more than 180 monitoring points. Data of meteorological stations and observation points with short series of measurement had been reduced using cartographic method (for ultra-short series) and ordinary method of ratio. climate, precipitation, annualEPSG:28408geonode:solar_radiationGIS data shows average annual solar radiation level in Armenia. This digital map was prepared in the frame of Global Environment Facility (GEF) and Armenian Renewable Resources and Energy Efficiency Fund Project “Development Of Geographic Information System of Armenia for Renewable Energy Projects”climate, radiation, solarEPSG:28408geonode:temperatureThis is a map shows average annual temperature (in degree centigrade) in Armenia. It is based on observations of more than 90 meteorological stations had ever operated in Armenia since 1885. Data of meteorological stations with short series of observations had been reduced to an 80-year period using the method of difference. This GIS layer was prepared in the frame of Global Environment Facility (GEF) and Armenian Renewable Resources and Energy Efficiency Fund Project “Development Of Geographic Information System of Armenia for Renewable Energy Projects”climate, average annual temperature, temperatureEPSG:32638geonode:rad_dur_aprGIS layer provides information about average monthly duration (in hours) of solar radiance during April. This map has been created using observation data from 22 meteorological stations.radiance, climate, radiation, solarEPSG:28408geonode:rad_dur_janGIS layer provides information about average monthly duration (in hours) of solar radiance during January. This map has been created using observation data from 22 meteorological stations.radiance, climate, radiation, solarEPSG:28408geonode:solar_radiance_duratin_julGIS layer provides information about average monthly duration (in hours) of solar radiance during July. This map has been created using observation data from 22 meteorological stations.radiance, climate, radiation, solarEPSG:28408geonode:solar_radiance_duratin_octGIS layer provides information about average monthly duration (in hours) of solar radiance during October. This map has been created using observation data from 22 meteorological stations.radiance, solar, radiation, climatEPSG:28408geonode:climat This is a map of climatic zones of Armenia, prepared in the frame of Global Environment Facility (GEF) and Armenian Renewable Resources and Energy Efficiency Fund Project “Development Of Geographic Information System of Armenia for Renewable Energy Projects”Armenia, Climatic zone, Climat, climatEPSG:32638geonode:arm_forest_areaGIS data shows distribution of forested territories in Armeniaforest, woodEPSG:32638geonode:lakes_and_reservoirsThe map of lakes and reservoirs, coded using ERICA (European Rivers and Catchment)coding system, which was designed for European Environment Agency.lakes_and_reservoirs, featuresEPSG:32638geonode:arm_landuseThis map was prepared in the frame of EU funded "Program of Prevention, Preparedness and Responcse to natural and man-made Disasters in the ENPI East Region (PPRDEast)"Armenia, Land useEPSG:32638geonode:landscapeLandscape map of Armenia at scale 1:750,000. This vector data was produced for SCOPES funded "Supporting Sustainable Mountain Development in the Caucasus (Sustainable Caucasus)" projectfeatures, landscapeEPSG:32638geonode:radiation_balGIS data shows radiation balance in Armenia. Radiation balance of underlying terrain calculated by equation: R=(Q+q)(1-Ao)-E, where R – radiation balance value; Q and q – direct and diffused radiation; Ao - underlying terrain albedo; E – effective-terrestrial radiation. solar radiation, radiation balanceEPSG:28408geonode:arm_catchmetsIt is topologically correct system of nested catchment areas of Armenian rivers, coded using ERICA (European Rivers and Catchment)coding system, which was designed for European Environment Agency. It contains all catchment areas of Armenian rivers 5 km long or longerwater objects coding system, catchment area, Rivers networkEPSG:32638geonode:arm_rivers_ericaIt is fully connected and topologically correct system of Armenian rivers, coded using ERICA (European Rivers and Catchment)coding system, which was designed for European Environment Agency. It containes all rivers of Armenia 5 km long or longerwater objects coding system, Rivers networkEPSG:32638geonode:soil_armSoils map of Armenia at scale 1:750,000. This vector data was produced for SCOPES funded "Supporting Sustainable Mountain Development in the Caucasus (Sustainable Caucasus)" projectArmenia, SoilsEPSG:32638geonode:aze_roadsAzerbaijan roads network from OpenstreetMAp (http://download.geofabrik.de/asia.html)features, aze_roadsEPSG:4326geonode:mountains_delimitations_caucasus_etiquettesThis layer represents the mountains in Caucasus. Each polyon of the shapefile is a different mountain. The data comes from the University of Bern and was published in 2018, https://ilias.unibe.ch/ilias.php?ref_id=1047348&cmd=infoScreen&cmdClass=ilrepositorygui&cmdNode=11n&baseClass=ilRepositoryGUI.mountains_delimitations_caucasus_etiquettes, featuresEPSG:4326geonode:mountains_delimitations_caucasus_clip0This layer represents the mountains in Caucasus. Each polyon of the shapefile is a different mountain. The data comes from the University of Bern and was published in 2018, https://ilias.unibe.ch/ilias.php?ref_id=1047348&cmd=infoScreen&cmdClass=ilrepositorygui&cmdNode=11n&baseClass=ilRepositoryGUI.features, mountains_delimitations_caucasus_clipEPSG:4326geonode:total_population_2019_NUTS2This map represents the total population of Caucasus in 2020 per NUTS2. The data comes from the national offices of statistics of each country in Caucasus : Armenia, Azerbaïjian, Georgia, Iran, Russia and Turkey. Data sources : Statistical Committee of the Republic of Armenia, Statistical Committee of the Republic of Azerbaïjian, National Statistics Office of Georgia, Statistical Centre of Iran, Federal State Statistics Service of Russia and Turkish Statistical Institute. To download the data please click on the following links : https://www.armstat.am/en/ https://www.stat.gov.az/ https://www.amar.org.ir/english https://data.tuik.gov.tr/ https://www.geostat.ge/en https://eng.rosstat.gov.ru/caucasus_total_populationEPSG:4326geonode:glims_polygonsThis layer shows the location of the Caucasus glaciers (as polygons) coming from the glims database (http://glims.colorado.edu/glacierdata/). Data has been cropped to the Caucasus ecoregion extent.features, glims_polygonsEPSG:4326geonode:UNESCO_WHC_sites_Caucasus_geonodeThis layer shows the location of the UNESCO sites in Caucasus. The data has been downloaded from http://whc.unesco.org/fr/syndication/ as .xls file and converted to a shapefile for the countries of Caucasus.features, UNESCO_WHC_sites_Caucasus_geonodeEPSG:4326geonode:caucasus_ecoregion_wgs84_newData provided by WWF. This layer represents the Caucasus Ecoregion Caucasus . It has been produced by WWF Caucasus and WWF Germany offices, and is available from http://panda.maps.arcgis.com/home/item.html?id=5980f8f3e3744711865567948e87ba77. Terrestrial ECOS WWF Over the past eight years WWF's Conservation Science Program (CSP) has developed a biogeographic regionalization of the Earth's terrestrial biodiversity. WWF term their biogeographic units ecoregions, which they define as a relatively large units of land or water containing a distinct assemblage of natural communities sharing a large majority of species, dynamics, and environmental conditions. Ecoregions represent the original distribution of distinct assemblages of species and communities. There are multiple uses for the terrestrial ecoregion map in WWF efforts to conserve biodiversity around the world. This data is only for non-commercial use and must be credited with the following "Data provided by WWF". Information may not be reproduced or downloaded without permission from WWF.caucasus_ecoregion_wgs84_new, featuresEPSG:4326geonode:caucasus_ecoregion_forest_coverCaucasus Ecoregion Forest Cover derived from BaseVue 2013 (raster layer downloaded, merged, clipped to WWF Caucasus Ecoregion and converted into vector format, forest cover extracted). BaseVue 2013 (accessible from ESRI Living Atlas at http://goto.arcgisonline.com/landscape6/World_Land_Cover_30m_BaseVue_2013) is a global, land use / land cover (LULC) product developed by MDA (US), derived from roughly 9,200 Landsat 8 images, 30m spatial resolution. The capture dates for the Landsat 8 imagery range from April 11, 2013 to June 29, 2014. The following 16 classes of land use / land cover are listed by their cell value in this layer: (1) deciduous forest, (2) evergreen forest, (3) shrub/scrub, (4) grassland, (5) barren or minimal vegetation, (6) not used, (7) agriculture (general), (8) agriculture (paddy), (9) wetland, (10) mangrove, (11) water: (12) ice/snow, (13) clouds, (14) woody wetlands (only continental US), (15) mixed forest (only continental US), (16) not used, (17) not used, (18) not used, (19) not used, (20) high density urban, (21) medium-low density urban.Cover, Forest, forestEPSG:4326geonode:caucasus_glaciersHere is the glacier outlines from Randolph Glacier Inventory 6.0. They were created by digitising ASTER images.glaciersEPSG:4326geonode:IFL_2000_CaucasusThis layer has been downloaded from the Intact Forest Landscapes website (http://www.intactforests.org) and represents the global status as of year 2000. It has then been clipped to the Caucasus Ecoregion layer extent.IFL_2000_Caucasus, featuresEPSG:4326geonode:IFL_2013_CaucasusThis layer has been downloaded from the Intact Forest Landscapes website (http://www.intactforests.org) and represents the global status as of year 2013. It has then been clipped to the Caucasus Ecoregion layer extent.features, IFL_2013_CaucasusEPSG:4326geonode:IFL_difference_2000_2013_CaucasusThis layer has been created by geoprocessing a symmetrical difference between the layers "Intact forest 2000" and "Intact forest 2013".IFL_difference_2000_2013_Caucasus, featuresEPSG:4326geonode:hydroshed_main_rivers_CaucasusThis layers shows the main rivers of Caucasus and was originally downloaded from teh hydrosheds database at http://www.hydrosheds.org/ . The layer has then be cropped at the Caucasus ecoregion boundary extent and the main rivers filtered and saved as the present shapefile.features, hydroshed_main_rivers_CaucasusEPSG:4326geonode:forest_zonesThis layer has been downloaded from the Intact Forest Landscapes website (http://www.intactforests.org/data.ifl.html). It shows the extent of the intact forest landscapes (IFL) for year 2013. Its full description is available from http://www.intactforests.org/shp/IFL_2015_readme.pdf.features, forest_zonesEPSG:4326geonode:GE_avalanchesGeorgia natural hazards map layer indicating avalanches. Published in The Georgian Roadmap on Climate Change Adaptation (see https://drive.google.com/file/d/0B7gsoyaggL-rZlRuZThiLVdNa3M/view), produced with support of the USAID funded project Institutionalization of Climate Change Adaptation and Mitigation in Georgian Regions (ICCAMGR, see http://nala.ge/climatechange/eng/about-us/program-outputs).Georgia avalanchesEPSG:32638geonode:GE_coastal_erosionGeorgia natural hazards map layer indicating coastal erosion. Published in The Georgian Roadmap on Climate Change Adaptation (see https://drive.google.com/file/d/0B7gsoyaggL-rZlRuZThiLVdNa3M/view), produced with support of the USAID funded project Institutionalization of Climate Change Adaptation and Mitigation in Georgian Regions (ICCAMGR, see http://nala.ge/climatechange/eng/about-us/program-outputs).Georgia coastal erosionEPSG:32638geonode:GE_floodsGeorgia natural hazards map layer indicating floods. Published in The Georgian Roadmap on Climate Change Adaptation (see https://drive.google.com/file/d/0B7gsoyaggL-rZlRuZThiLVdNa3M/view), produced with support of the USAID funded project Institutionalization of Climate Change Adaptation and Mitigation in Georgian Regions (ICCAMGR, see http://nala.ge/climatechange/eng/about-us/program-outputs)Georgia floodsEPSG:32638geonode:GE_hazardsGeorgia natural hazards map layer indicating hazard types and risk levels. Published in The Georgian Roadmap on Climate Change Adaptation, produced with support of the USAID funded project Institutionalization of Climate Change Adaptation and Mitigation in Georgian Regions (ICCAMGR, see http://nala.ge/climatechange/eng/about-us/program-outputs).Georgia hazardsEPSG:32638geonode:GE_mudflowsGeorgia natural hazards map layer indicating mudflows. Published in The Georgian Roadmap on Climate Change Adaptation (see https://drive.google.com/file/d/0B7gsoyaggL-rZlRuZThiLVdNa3M/view), produced with support of the USAID funded project Institutionalization of Climate Change Adaptation and Mitigation in Georgian Regions (ICCAMGR, see http://nala.ge/climatechange/eng/about-us/program-outputs).Georgia mudflowsEPSG:32638geonode:geo_catchmentIt is topologically correct nested catchments system of Georgian rivers, coded using ERICA (European Rivers and Catchment) coding system, which was designed for European Environment Agency. It contains catchment areas of all rivers of Georgia 5 km long or longercatchment area, Rivers network, water objects coding systemEPSG:32638geonode:geo_rivers_ericaIt is fully connected and topologically correct system of Georgiian rivers, coded using ERICA (European Rivers and Catchment)coding system, which was designed for European Environment Agency. It contains all rivers of Georgia 5 km long or longerwater objects coding system, Rivers networkEPSG:32638geonode:geo_roadsGeorgia roads network from OpenstreetMap (http://download.geofabrik.de/europe.html)geo_roads, featuresEPSG:4326geonode:georgia_soils_newSoils Map of Georgia, scale 1:500,000. Vector version of the Soils Map of Georgia was produced with support of the German KfW funded Land Cadastre and Registration Project of Georgia 2002-2006 (Client: State Department of Land Management of Georgia and GFA Consulting Group GmbH, Germany). Soil classification was correlated with the internationally accepted classification, the World Reference Base (WRB) for Soil Resources. The original source map was composed in 1998 by more than 50 scientists lead by the author of the reference Urushadze T. (ed.), Soil map of Georgia in scale of 1:500 000 (1999) Tbilisi.georgia_soils_new, featuresEPSG:32638geonode:intact_forest_2013This layer has been downloaded from the Intact Forest Landscapes website (http://www.intactforests.org/data.ifl.html). It shows the extent of the intact forest landscapes (IFL) for year 2013. Its full description is available from http://www.intactforests.org/shp/IFL_2015_readme.pdf. Citation: Potapov, P., A. Yaroshenko, S. Turubanova, M. Dubinin, L. Laestadius, C. Thies, D. Aksenov, A. Egorov, Y. Yesipova, I. Glushkov, M. Karpachevski, A. Kostickova, A. Manisha, E. Tsybikova, and I. Zhuravleva. 2008. “Mapping the World’s Intact Forest Landscapes by Remote Sensing.” Ecology and Society 13, no. 2: Art. 51. www.ecologyandsociety.org/vol13/iss2/art51.intact_forest_2013, featuresEPSG:4326geonode:irn_roadsIran roads network from OpenstreetMap (http://download.geofabrik.de/asia.html)features, irn_roadsEPSG:4326geonode:K2_v2_0_2022_07_Caucasus1No abstract providedfeatures, Caucasus, K2_v2.0_2022_07_CaucasusEPSG:4326geonode:kolkheti_habitatsCompiled by Matchutadze and Bakuradze (2009) with methodological support of Greifswald University, based on data generated by GIS and RS consulting Center "GeoGraphic" (http://geographic.ge), commissioned by ICZM Centre within Wold Bank/GEF supported Georgia Integrated Coastal Management Project (GICMP) (http://go.worldbank.org/94RFJETGI0).kolkheti_habitats, featuresEPSG:32637geonode:kolkheti_lakesCompiled by Matchutadze and Bakuradze (2009) with methodological support of Greifswald University, based on data generated by GIS and RS consulting Center "GeoGraphic" (http://geographic.ge), commissioned by ICZM Centre within Wold Bank/GEF supported Georgia Integrated Coastal Management Project (GICMP) (http://go.worldbank.org/94RFJETGI0).features, kolkheti_lakesEPSG:32637geonode:kolkheti_riversCompiled by Matchutadze and Bakuradze (2009) with methodological support of Greifswald University, based on data generated by GIS and RS consulting Center "GeoGraphic" (http://geographic.ge), commissioned by ICZM Centre within Wold Bank/GEF supported Georgia Integrated Coastal Management Project (GICMP) (http://go.worldbank.org/94RFJETGI0).network, RiversEPSG:32637geonode:kolkheti_settlementsCompiled by Matchutadze and Bakuradze (2009) with methodological support of Greifswald University, based on data generated by GIS and RS consulting Center "GeoGraphic" (http://geographic.ge), commissioned by ICZM Centre within Wold Bank/GEF supported Georgia Integrated Coastal Management Project (GICMP) (http://go.worldbank.org/94RFJETGI0).features, kolkheti_settlementsEPSG:32637geonode:leopard_distribution_area_wgs84Data provided by WWF. This layer represents the Caucasian leopard actual distribution area. The Caucasian leopard is the rarest species in this ecoregion. It has been produced by WWF Caucasus and WWF Germany offices, and is available from http://panda.maps.arcgis.com/home/item.html?id=5980f8f3e3744711865567948e87ba77. This data is only for non-commercial use and must be credited with the following "Data provided by WWF". Information may not be reproduced or downloaded without permission from WWF.leopard_distribution_area_wgs84, featuresEPSG:4326geonode:mudflow_armMap shows distribution and hazard level of debris- and mud-flows on the territory of Armenia. Author: R. Ter-Minasyannatural disaster, mud-flow, hazard map, Debris-flowEPSG:32638geonode:avalanchesDigital map shows avalanches hazard level in Armenia. Original data source: Data base of Hydrometeorological Survey of Georgia and Hydrometeorology Institute. Authors: Khaldani L., and Saluqvadze M.snow, hazard map, natural disaster, avalancheEPSG:28408geonode:pop_1989GEO Census 1989: population of Georgia by administrative-territorial units. Census data source: GeoStat, General Population Census of Georgia 1989, http://geostat.ge and http://cencus.ge. GIS data source: GeoGraphic, http://geographic.ge.pop_1989, featuresEPSG:4326geonode:pop_2002GEO Census 2002: population of Georgia by administrative-territorial units and sex. Census data source: GeoStat, General Population Census of Georgia 2002, http://geostat.ge and http://cencus.ge. GIS data source: GeoGraphic, http://geographic.ge.pop_2002, featuresEPSG:4326geonode:pop_2014GEO Census 2014: population of Georgia by administrative-territorial units and sex. Census data source: GeoStat, General Population Census of Georgia 2014, http://geostat.ge and http://cencus.ge. GIS data source: GeoGraphic, http://geographic.ge.pop_2014, featuresEPSG:4326geonode:priority_conservation_areas_wgs84Data provided by WWF. This layer represents the Priority Conservation Areas (PCA) represent the most important areas for biodiversity conservation in the Ecoregion Caucasus . It has been produced by WWF Caucasus and WWF Germany offices, and is available from http://panda.maps.arcgis.com/home/item.html?id=5980f8f3e3744711865567948e87ba77. This data is only for non-commercial use and must be credited with the following "Data provided by WWF". Information may not be reproduced or downloaded without permission from WWF.features, priority_conservation_areas_wgs84EPSG:4326geonode:river_ecrin_lambEuropean catchments and RIvers network System (Ecrins), http://projects.eionet.europa.eu/ecrins . It is a fully connected system of watersheds, rivers, lakes, monitoring stations, dams, made from the JRC CCM2.1 and many other sources. Compared to CCM, ECRINS offers a smaller number (138,000 instead of >2,000,000) of elementary catchments which average size is 92km2. Only the main drainage system, nevertheless comprising ~ 1.4 million km of rivers has been kept.features, river_ecrin_lambEPSG:3035geonode:l_water_sGIS data shows a thickness of runoff layer. This digital data was prepared in the frame of Global Environment Facility (GEF) and Armenian Renewable Resources and Energy Efficiency Fund Project “Development of Geographic Information System of Armenia for Renewable Energy Projects”hydrography, flooding, runoff, hydrology, low waterEPSG:28408geonode:seismic_zonesThe Seismic Zonation Map of the Territory of the Republic of Armenia at the scale of 1:500,000 was prepared by the Consortium of AIR Worldwide Corporation (USA), GEM Foundation (Italy) and GEORISK Scientific Research CJSC (Armenia) under the Project # 7179350 “Probabilistic Seismic Hazard Assessment for the Republic of Armenia” supported by the World Bank. The area of the RA is divided into 3 zones in the ascending intensity order (I, II and III ) with expected PGA values expressed in fractions of g (gravity) 0.3g, 0.4g, and 0.5g, respectivelybuilding code, seismic zones, Seismic hazard and riskEPSG:32638geonode:seismic_model_causin_2005Seismotectonic model at scale 1:1,000,000 shows the main active faults in Caucasus region and adjacent countries. This data set was created in 2005 in the frame of ISTC Project #A-651"Caucasian Seismic Information Network (CauSIN)"Active faults, Seismic hazard and risk assesment, Earthquakes, Seismotectonic modelEPSG:28408geonode:The_Shaki_Zagatala_Economic_Geographic_RegionThe Shaki-Zagatala economic-geographical region is a region of Azerbaijan. The Sheki-Zagatala economic-geographical region consists of the local executive power and municipalities. The region includes Shaki, Zagatala, Balakan, Oghuz, Gakh and Gabala administrative districts. There are 6 districts, 6 cities and 8 settlements in the economic region. The Shaki-Zagatala economic-geographical region covers 336 villages. Shaki-Zagatala has an area of 8,960 square kilometres (2,210,000 acres) and a population of 586,700 (2012). The territory is divided into three parts: the southern slope of Greater Caucasus, the Ganikh-Haftaran Valley and the Central Kur Highland (Ajinohur and Turud-Sarica plain, the mountainous part of Shaki). Qabala, Oghuz, Shaki, Gakh, Zagatala and Balakan are rayons within the region. The altitude ranges from 100 - 466 metres, the peak of Mount Bazardüzü, which is the tallest mountain in Azerbaijan and Russia. The region includes the following important rivers: Kish, Shin, Balakanchay, Katekh, Damiraparan, Mazim, Mukhakh, Ganikh, Ayrichay, Alijan and Turyan. Rich sources of thermal and mineral waters are available at Oghlanbulag, Gizbulag, Hamambulag, Budusshor, Aghbulag and Khalkhal. Nohur (Qabala) and Ajinohur (Gakh) are the major lakes. The rayon territory is rich in minerals. Most of the copper reserves of Azerbaijan, 90 percent of the sulfur arthroplasty, 97 percent of lead, 99 percent of sinks are extracting in this region. Filizchay, one of the largest polymetallic deposits in the Caucasus region, is located in the region. There are gravel, sand and other building material resources in mountainous and foothills. About 27 percent of the Sheki-Zagatala economic region is forested.features, The_Shaki_Zagatala_Economic_Geographic_RegionEPSG:4326geonode:The_mountainous_Shirvan0The Mountainous Shirvan Economic and Geographical Region is one of many economic areas in Azerbaijan. The region includes the Agsu, Ismaili, Gobustan, and the Shamakhi regional administrative districts. This region consists of four cities, four districts and eight settlements consisting of 106 territorial districts, and 275 settlements. The region is located in the Southeast of the Greater Caucasus Mountain Range. The area (6,130 km²) comprises 7% of Azerbaijan. As of 2015 the population was 304,000 people, or 3.2% of Azerbaijan's total population. The population density of the economic region is 50 people/km².The_mountainous_Shirvan, featuresEPSG:32639geonode:tur_roadsTurkey roads network from OpenstreetMap (http://download.geofabrik.de/europe.html)tur_roads, featuresEPSG:4326geonode:wind_resourcesAnnual average wind resource potential for Armenia at a 50 meter height.wind potential, wind resourceEPSG:32638geonode:all_rivers_by_basinfeatures, all_rivers_by_basinEPSG:32638geonode:caucasus_air_quality_stations_clippedfeatures, caucasus_air_quality_stations_clippedEPSG:32638geonode:emerald_2020_epsg4326_caucasusfeatures, emerald_2020_epsg4326_caucasusEPSG:4326geonode:gdp_compositionfeatures, gdp_compositionEPSG:4326geonode:gdp_composition_f8315f5b5e3e99e29c7b77385c7f740cfeatures, gdp_composition_f8315f5b5e3e99e29c7b77385c7f740cEPSG:4326geonode:gdp_per_capitafeatures, gdp_per_capitaEPSG:4326geonode:nuts3_2000_2020hectares_lastfeatures, nuts3_2000_2020hectares_lastEPSG:4326geonode:nuts3_2000_2020hectares_last_1f996da118a08dff1e329238eef05bbenuts3_2000_2020hectares_last_1f996da118a08dff1e329238eef05bbe, featuresEPSG:4326geonode:rgi_caucasusfeatures, rgi_caucasusEPSG:4326geonode:rivers_caucasus_ecoregionfeatures, rivers_caucasus_ecoregionEPSG:32638absabs_2abs_3abs_4acosAddCoveragesAffineAggregateAndareaarea2AreaGridarrayasinatanatan2attributeCountBandMergebandsBandSelectBarnesSurfacebetweenboundaryboundaryDimensionboundedByBoundsbufferBufferFeatureCollectionbufferWithSegmentsCategorizeceilcenterLinecentroidclassifyClassifyByRangeClipCollectGeometriesCollection_AverageCollection_BoundsCollection_CountCollection_MaxCollection_MedianCollection_MinCollection_NearestCollection_SumCollection_UniqueConcatenatecontainsContourcontrastconvertconvexHullConvolveCoveragecosCountCoverageClassStatsCropCoveragecrossesdarkendateDifferencedateFormatdateParsedensifydesaturatedifferencedimensiondisjointdisjoint3Ddistancedistance3Ddouble2boolDownloadDownloadAnimationDownloadEstimatorDownloadMapendAngleendPointenvenvelopeEqualAreaEqualIntervalequalsExactequalsExactToleranceequalToexpexteriorRingFeatureFeatureClassStatsfloorfootprintsgeometrygeometryTypegeomFromWKTgeomLengthGeorectifyCoverageGetFullCoveragegetGeometryNgetXgetYgetzgrayscalegreaterEqualThangreaterThanGridGroupCandidateSelectionHeatmaphslidIEEEremainderif_then_elseImportinin10in2in3in4in5in6in7in8in9inArrayInclusionFeatureCollectionint2bboolint2ddoubleinteriorPointinteriorRingNInterpolateintersectionIntersectionFeatureCollectionintersectsintersects3DisCachedisClosedisCoverageisEmptyisInstanceOfisLikeisNullisometricisRingisSimpleisValidisWithinDistanceisWithinDistance3DJenksJifflejsonArrayContainsjsonPointerlabelPointlanguagelapplylengthlessEqualThanlessThanlightenlistlistMultiplylitemlogLRSGeocodeLRSMeasureLRSSegmentmapGetmaxmax_2max_3max_4minmin_2min_3min_4mincircleminimumdiameterminrectanglemixmoduloMultiplyCoveragesNearestNormalizeCoveragenotnotEqualTonownumberFormatnumberFormat2numGeometriesnumInteriorRingnumPointsoctagonalenvelopeoffsetOroverlapsPagedUniqueparameterparseBooleanparseDoubleparseIntparseLongpgNearestpiPointBufferspointNPointStackerPolygonExtractionpolygonizePolyLabellerpowpropertyPropertyExistsQuantileQueryqueryCollectionquerySinglerandomRangeLookupRasterAsPointCollectionRasterZonalStatisticsRasterZonalStatistics2RecodeRectangularCliprelaterelatePatternreprojectReprojectGeometryrescaleToPixelsrintroundround_2roundDoublesaturateScaleCoveragesdo_nnsetCRSshadesimplifysinsizeSnapspinsplitPolygonsqrtStandardDeviationstartAnglestartPointStoreCoveragestrAbbreviatestrCapitalizestrConcatstrDefaultIfBlankstrEndsWithstrEqualsIgnoreCasestrIndexOfstringTemplatestrLastIndexOfstrLengthstrMatchesstrPositionstrReplacestrStartsWithstrStripAccentsstrSubstringstrSubstringStartstrToLowerCasestrToUpperCasestrTrimstrTrim2strURLEncodeStyleCoveragesymDifferencetantinttoDegreestoRadianstouchestoWKTTransformTransparencyFillunionUnionFeatureCollectionUniqueUniqueIntervalVectorToRasterVectorZonalStatisticsverticeswithin