20200120
14182600
1.0
FALSE
CalculateField Želdiniai SklypoNr -1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]-1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]-1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]-1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]-1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]-1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]-1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]-2 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]-2 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Želdiniai SklypoNr [SklypoNr]+1 VB #
CalculateField Zeldiniai Kvartalas "kv2" VB #
CalculateField Zeldiniai Kvartalas "kv1" VB #
CalculateField Zeldiniai Kvartalas "kv1" VB #
CalculateField Zeldiniai Kvartalas "kv1" VB #
CalculateField Zeldiniai Kvartalas "kv1" VB #
CalculateField Zeldiniai Zeldyno_kodas "kv1" VB #
CalculateField Zeldiniai Zeldyno_kodas "kv2" VB #
CalculateField Zeldiniai SklypoNr [SkNr_Abrise] VB #
CalculateField Zeldiniai SklypoNr [SkNr_Abrise] VB #
CalculateField Zeldiniai Zeldyno_kodas kv1 VB #
CalculateField Zeldiniai Zeldyno_kodas "kv1" VB #
CalculateField Zeldiniai Zeldyno_kodas "gt7" VB #
CalculateField Zeldiniai Zeldyno_kodas "kv2" VB #
CalculateField Zeldiniai Zeldyno_kodas "kv20" VB #
CalculateField Zeldiniai Zeldyno_kodas "kv22" VB #
CalculateField Zeldiniai Zeldyno_kodas "gt18" VB #
CalculateField Zeldiniai Zeldyno_kodas "kv5" VB #
CalculateField Zeldiniai SklypoNr [SkNr_Abrise] VB #
CalculateField Zeldiniai Kvartalas "0" VB #
CalculateField Zeldiniai Kvartalas "<Null>" VB #
CalculateField Zeldiniai Kvartalas "<Null>" VB #
CalculateField Zeldiniai Kvartalas "<Null>" VB #
CalculateField Zeldiniai Zeldyno_kodas "kv3" VB #
CalculateField Zeldiniai Zeldyno_kodas "kv12" VB #
CalculateField Zeldiniai Zeldyno_kodas gt132 VB #
CalculateField Zeldiniai Zeldyno_kodas "gt132'" VB #
CalculateField Zeldiniai Zeldyno_kodas gt132 VB #
CalculateField Zeldiniai Zeldyno_kodas kldv1 VB #
CalculateField Zeldiniai Zeldyno_kodas kv26 VB #
CalculateField Zeldiniai Zeldyno_kodas kv33 VB #
CalculateField Zeldiniai Zeldyno_kodas kv32 VB #
CalculateField Zeldiniai SklypoNr [SkNr_Abrise] VB #
CalculateField Zeldiniai_2013_COPY Aukštis 8 VB #
CalculateField Zeldiniai_2013_COPY Zeldinio_bukle 1 VB #
CalculateField Zeldiniai_2013_COPY Aukštis 5 VB #
CalculateField Zeldiniai_2013_COPY Aukštis 5
VB #
CalculateField Zeldiniai_2013_COPY Skersmuo 8
VB #
CalculateField Zeldiniai_2013_COPY Zeldinio_rusis "Kaštonas paprastasis"
VB #
CalculateField Zeldiniai_2013_COPY Zeldinio_rusis "Klevas paprastasis 'Crimson King'" VB #
CalculateField Zeldiniai_2013_COPY Zeldinio_rusis "Kaštonas paprastasis"
VB #
CalculateField Zeldiniai_2013_COPY Aukštis 5 VB #
CalculateField Zeldiniai_2013_COPY Aukštis 5 VB #
CalculateField Zeldiniai_2013_COPY Skersmuo 8 VB #
CalculateField Zeldiniai_2013_COPY Zeldinio_bukle 1 VB #
CalculateField Zeldiniai_2013 Reik_tvarkymo_priemonės "Priežiūra" VB #
CalculateField Zeldiniai_2013 Pastabos "Puola kenkėjas - kaštoninė keršakandė" VB #
CalculateField Zeldiniai_2013 Aukštis 5 VB #
CalculateField Zeldiniai_2013 Skersmuo 8 VB #
CalculateField Zeldiniai_2013 Aukštis 4 VB #
CalculateField Zeldiniai_2013 Aukštis 4.5 VB #
CalculateField Zeldiniai_2013 Aukštis 4 VB #
CalculateField Zeldiniai_2013 Skersmuo 6 VB #
CalculateField Zeldiniai_2013 Aukštis 4.5 VB #
CalculateField Zeldiniai_2013 Skersmuo 6 VB #
CalculateField Zeldiniai_2013 Aukštis 4.5 VB #
CalculateField Zeldiniai_2013 Aukštis 4 VB #
CalculateField Zeldiniai_2013 Skersmuo 6 VB #
CalculateField Zeldiniai_2013 Skersmuo 6 VB #
CalculateField Zeldiniai_2013 Zeldinio_rusis "Klevas paprastasis"
VB #
CalculateField Zeldiniai_2013 Aukštis "5"
VB #
CalculateField Zeldiniai_2013 Skersmuo "8"
VB #
CalculateField Zeldiniai_2013 Zeldinio_bukle 1 VB #
CalculateField Zeldiniai_2013 Aukštis 6 VB #
CalculateField Zeldiniai_2013 Aukštis 6 VB #
CalculateField Zeldiniai_2013 Skersmuo 8 VB #
CalculateField Zeldiniai_2013 Zeldinio_rusis "Klevas cukrinis" VB #
CalculateField Zeldiniai_2013 Zeldinio_bukle 1 VB #
CalculateField Zeldiniai_2013 Zeldinio_rusis "Pušis kalninė"
VB #
CalculateField Zeldiniai_2013 Zeldinio_kodas "Šva" VB #
CalculateField Zeldiniai_2013 Skl_Nr_Abrise_2013 "Šva_" VB #
CalculateField Zeldiniai_2013 Zeldinio_kodas "Šva_" VB #
CalculateField Zeldiniai_2013 Skl_Nr_Abrise_2013 "" VB #
CalculateField Zeldiniai_2013 Skl_Nr_Abrise_2013 Left( [Pastabos], 3 ) VB #
CalculateField Zeldiniai_2013 Zeldinio_kodas "[Zeldinio_kodas] & Left( [Pastabos], 3 )" VB #
CalculateField Zeldiniai_2013 SklypoNr " Left( [Pastabos], 3 )" VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]+1 VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]+1 VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]+1 VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]+1 VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]-1 VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]+1 VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]-1 VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]-5 VB #
CalculateField Zeldiniai_2013 Zeldinio_kodas "Left( [Zeldinio_kodas], 4 ) & [SklypoNr]" VB #
CalculateField Zeldiniai_2013 Pastabos "" VB #
CalculateField Zeldiniai_2013 Skersmuo null VB #
CalculateField Zeldiniai_2013 SklypoNr [SklypoNr]+1 VB #
CalculateField Zeldiniai_2013 Zeldinio_kodas "Left( [Zeldinio_kodas],4 ) & [SklypoNr]" VB #
CalculateField Zeldiniai_2013 Zeldinio_rusis "Kaštonas paprastasis" VB #
CalculateField Zeldiniai_2013 Aukštis 6 VB #
CalculateField Zeldiniai_2013 Zeldinio_bukle 2 VB #
CalculateField Zeldiniai_2013 Pastabos "Lapų kenkėjai" VB #
CalculateField Zeldiniai_2013 Reik_tvarkymo_priemonės "Priežiūra" VB #
CalculateField Zeldiniai_2013 Reik_tvarkymo_priemonės 1 VB #
CalculateField Zeldiniai_2013 Reik_tvarkymo_priemonės 5 VB #
CalculateField Zeldiniai_2013 Priem_eiliškumas 1 VB #
CalculateField Zeldiniai_2013 temp_id [OBJECTID] VB #
CalculateField Zeldiniai_2013 Zeldyno_kodas "kv26" VB #
CalculateField Zeldiniai_2013 Zeldyno_kodas "gt126" VB #
CalculateField Zeldiniai_2013 zeld_id [OBJECTID] VB #
CopyFeatures "Inventorizuoti želdynai, želdiniai, 2011-2013 m.\Želdiniai" "\\storeeasy\userdir$\m.buivydiene\My Documents\ArcGIS\Projects\MyProject143\gissrv.sde\GIS.GEO.Želdiniai" # # # #
Rename "\\storeeasy\userdir$\m.buivydiene\My Documents\ArcGIS\Projects\MyProject143\gissrv.sde\GIS.GEO.Želdiniai" "\\storeeasy\userdir$\m.buivydiene\My Documents\ArcGIS\Projects\MyProject143\gissrv.sde\GIS.GEO.Zeldiniai_2023" FeatureClass
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e686357324e3456646e74727670534b55526a47644f74514c57444a326435536b79756f4c52776c49356d56553d2a00;ENCRYPTED_PASSWORD=00022e686779785a474976342b36516a5161324a6c6568464c747a66627336546b6a787741653857383465796a35413d2a00;SERVER=gissrv;INSTANCE=sde:sqlserver:gissrv;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=gissrv;DATABASE=GIS;USER=geo;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GIS.GEO.Zeldiniai_2023</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><EnableEditorTracking><creator_field>created_user</creator_field><creation_date_field>created_date</creation_date_field><last_editor_field>last_edited_user</last_editor_field><last_edit_date_field>last_edited_date</last_edit_date_field><add_fields>TRUE</add_fields><record_dates_in>UTC</record_dates_in></EnableEditorTracking></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e686357324e3456646e74727670534b55526a47644f74514c57444a326435536b79756f4c52776c49356d56553d2a00;ENCRYPTED_PASSWORD=00022e68514f566a5a493635784166476f364d6d5761744559684c75575942615a70595037354565716d6e47376e4d3d2a00;SERVER=gissrv;INSTANCE=sde:sqlserver:gissrv;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=gissrv;DATABASE=GIS;USER=geo;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GIS.GEO.Zeldiniai_2023</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><RegisterAsVersioned><edit_to_base>FALSE</edit_to_base></RegisterAsVersioned></workflow></operationSequence>
Server=gissrv; Service=sde:sqlserver:gissrv; Database=GIS; User=geo; Version=sde.DEFAULT
ArcSDE Connection
GIS.GEO.Želdiniai
002
Projected
GCS_LKS_1994
Linear Unit: Meter (1.000000)
LKS_1994_Lithuania_TM
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>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],AUTHORITY["EPSG",3346]]</WKT><XOrigin>-5122000</XOrigin><YOrigin>-10000100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2600</WKID><LatestWKID>3346</LatestWKID></ProjectedCoordinateSystem>
20230519
23172100
20230519
23172100
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770
lt
REQUIRED: A brief narrative summary of the data set.
REQUIRED: A summary of the intentions with which the data set was developed.
REQUIRED: The name of an organization or individual that developed the data set.
REQUIRED: The date when the data set is published or otherwise made available for release.
Zeldiniai
Zeldiniai
vector digital data
\\duomenys\gis\duombaz\klaipedos_miesto_zeldynai\2012\Klaipedos miesto zeldiniai\Klaipedos miesto zeldiniai\Klaipedos_Kiti_zeldynai.gdb
REQUIRED: The basis on which the time period of content information is determined.
REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.
REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.
16.074006
22.434057
55.790492
-0.013602
617.366300
325693.050000
-1504.332800
6187497.116500
REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
REQUIRED: Common-use word or phrase used to describe the subject of the data set.
REQUIRED: Restrictions and legal prerequisites for accessing the data set.
REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.
File Geodatabase Feature Class
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 13.1.0.41833
Želdiniai_ inventoriz_ 2023_2024m_zeld_bukle
617.3663
325693.05
6187497.1165
-1504.3328
1
16.074006
22.434057
55.790492
-0.013602
1
Želdiniai
Želdiniai_ inventoriz_ 2023_2024m_zeld
lt
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
REQUIRED: The person responsible for the metadata information.
REQUIRED: The organization responsible for the metadata information.
REQUIRED: The mailing and/or physical address for the organization or individual.
REQUIRED: The city of the address.
REQUIRED: The state or province of the address.
REQUIRED: The ZIP or other postal code of the address.
REQUIRED: The telephone number by which individuals can speak to the organization or individual.
20130115
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
002
file://\\duomenys\gis\duombaz\klaipedos_miesto_zeldynai\2012\Klaipedos miesto zeldiniai\Klaipedos miesto zeldiniai\Klaipedos_Kiti_zeldynai.gdb
Local Area Network
File Geodatabase Feature Class
Enterprise Geodatabase Feature Class
Vector
Simple
FALSE
0
TRUE
FALSE
GCS_LKS_1994
LKS_1994_Lithuania_TM
coordinate pair
meters
0.000100
0.000100
D_Lithuania_1994
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
0.000100
LKS_1994_Lithuania_TM
EPSG
6.9(9.2.0)
0
GIS.GEO.Želdiniai
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Zeldinio_rusis
Zeldinio_rusis
String
100
0
0
Zeldinio_kodas
Zeldinio_kodas
String
10
0
0
Zeldyno_kodas
Zeldyno_kodas
String
10
0
0
Kvartalas
Kvartalas
String
10
0
0
SklypoNr
SklypoNr
SmallInteger
2
5
0
Aukštis
Aukštis
Double
8
38
8
Skersmuo
Skersmuo
SmallInteger
2
5
0
Zeldinio_bukle
Zeldinio_bukle
SmallInteger
2
5
0
Invent_data
Invent_data
Date
8
0
0
Reik_tvarkymo_priemonės
Reik_tvarkymo_priem
SmallInteger
2
5
0
Priem_eiliškumas
Priem_eiliškumas
SmallInteger
2
5
0
Pastabos
Pastabos
String
300
0
0
METOD
METOD
String
4
0
0
SHAPE
SHAPE
Geometry
8
0
0
Feature geometry.
ESRI
Coordinates defining the features.
Skl_Nr_Abrise_2013
Skl_Nr_Abrise_2013
String
10
0
0
SkNr_Abrise
SkNr_Abrise
SmallInteger
2
5
0
Zeldynas_Zeldiniai
Relationship
20230519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