20230510 14454300 1.0 TRUE CreateFeatureclass C:\Users\ErnestasDi\Documents\ArcGIS\Projects\SDG\SDG.gdb restrukturizavimas_datos Point GPLYR_{DBDA927C-8C76-4E6F-B89C-C8BBDB69DCFB} No No "PROJCS["LKS_1994_Lithuania_TM",GEOGCS["GCS_LKS_1994",DATUM["D_Lithuania_1994",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",24.0],PARAMETER["Scale_Factor",0.9998],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]];-5122000 -10000100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # 0 0 0 # XYTableToPoint restrukturizavimas_datos_61 C:\Users\ErnestasDi\Documents\ArcGIS\Projects\SDG\SDG.gdb\restrukturizavimas_datos x y # "PROJCS["LKS_1994_Lithuania_TM",GEOGCS["GCS_LKS_1994",DATUM["D_Lithuania_1994",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",24.0],PARAMETER["Scale_Factor",0.9998],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]];-5122000 -10000100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" CopyMultiple "C:\Users\ErnestasDi\Documents\ArcGIS\Projects\SDG\SDG.gdb\restrukturizavimas_datos FeatureClass" C:\Users\ErnestasDi\Documents\ArcGIS\Projects\SDG\SDG-DB.STAT.GOV.LT(5).sde\open_data.gis_data2.AVNT restrukturizavimas_datos "restrukturizavimas_datos FeatureClass open_data.gis_data2.restrukturizavimas_datos #" DeleteField open_data.gis_data2.restrukturizavimas_datos x;y "Delete Fields" Server=SDG-DB.STAT.GOV.LT; Service=sde:postgresql:SDG-DB.STAT.GOV.LT; Database=open_data; User=gis_data2; Version=sde.DEFAULT ArcSDE Connection restrukturizavimas_datos /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvaJcosn2mVJCXJQqu3C9h ViigAooooAKKKKACiikYhVJPQDNAC0VQ0m4a7gkuftBlikcmMFNpQZ6dKv0AFFFFAECWiR3kt0Gc vIApBPyjHoKnoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArPudasLTVINNnnCXV wMxIR97nFaFY+q6Kuoatpd7sj3Wchcsc5xx0pO/QDYooopgV5byOG7gt2Vy82dpC5AwM8mrFFFAB RVeRLk3kTpKq24B3oV5Y9uasUAFFFFABRRRQAUUUUAFBGRg9KKKAK9pZQWMRit0CIWLkD1JyasUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABUFtdw3au0LFgjlG4IwRU9IAB0AGfSgBaKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKQ52nHXHFAC 0VBZvcvbK13Gkc38SocgVPQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAzzY/O8nevmY3bc849afUf2eH7R9o8tfO27d+OcemakoAKKKK ACiiigAooooAKKKKACiiq9ytyzQ/Z5ERQ4Mm4ZyvoKALFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUhdQwUsAx6Ank0tQyWkM1xFO6ZkizsbJ4 z1/lQBNRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUhYAgEgE9BnrWbqOqHSRPdXiqthG gIdQSxYkDGKqaVeJrN1588LpLCN8B2so8tumc8E/KaV+gG9RRRTAKKKKAIEtEjvJbkPIWkABUt8o x6Cp6KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKAEZVYYYAj0NV7Q3J837TFEmHIj2HOVwMZ4+tWaKACiiigAoqvHbMl7LcefIyyKAIj jauO4qxQAUUUUAFFFVzewC+FkZB55TeE9vWgCxRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRUF79pFlL9jCG42nyw/TPvT4PN8iPztvm7Rv29M96AJKKKKAEZ tqlsE4GeKr2F6moWi3EcciKSRtkXBGDVmigAooooAKKKKACiiigArkvG2snRY7a4S3mmZQzHypAu Bx1HUjmutPArFu7GPWrFpzZCO6KNEouFPCkjORxwcUnsBJ4avI9Q8P2dzF52x0GPOOW/GtaoraBL a1igjRUWNQoVegwO1S0LYAooopgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFZekx6ss94+pSxtG0n+jooGVX3NAGpRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/2Q==