20210830
09581800
1.0
FALSE
Top10_CC_Score
002
0.000
file://\\UNOSAT-WITTAWAT\D$\APDRN\INFORM_FINAL\ARM\DSS_INFORM_ARM\DSS_INFORM_ARM.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<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/2.8.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
WGS_1984_Web_Mercator_Auxiliary_Sphere
Dissolve arm_admbnda_adm2_2019 "C:\Users\Owner\Documents\OCHA FIS\CODs\ARM\ARM 2019_09_11 FIS\arm_admbnda_adm1_2019.shp" ADM0_EN;ADM0_HY;ADM0_RU;ADM0_PCODE;ADM1_EN;ADM1_HY;ADM1_RU;ADM1_PCODE # MULTI_PART DISSOLVE_LINES
FeatureClassToFeatureClass D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp D:\APDRN\INFORM_FINAL\ARM\Workspace\ARM_INFORM.gdb arm_admbnda_adm1_2019 # "ADM0_EN "ADM0_EN" true true false 254 Text 0 0,First,#,D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp,ADM0_EN,0,254;ADM0_HY "ADM0_HY" true true false 254 Text 0 0,First,#,D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp,ADM0_HY,0,254;ADM0_RU "ADM0_RU" true true false 254 Text 0 0,First,#,D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp,ADM0_RU,0,254;ADM0_PCODE "ADM0_PCODE" true true false 254 Text 0 0,First,#,D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp,ADM0_PCODE,0,254;ADM1_EN "ADM1_EN" true true false 254 Text 0 0,First,#,D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp,ADM1_EN,0,254;ADM1_HY "ADM1_HY" true true false 254 Text 0 0,First,#,D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp,ADM1_HY,0,254;ADM1_RU "ADM1_RU" true true false 254 Text 0 0,First,#,D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp,ADM1_RU,0,254;ADM1_PCODE "ADM1_PCODE" true true false 254 Text 0 0,First,#,D:\APDRN\INFORM_FINAL\ARM\Workspace\DATA\arm_admbnda_adm1_2019.shp,ADM1_PCODE,0,254" #
DeleteField arm_admbnda_adm1_2019 ADM0_HY
DeleteField arm_admbnda_adm1_2019 ADM0_RU
DeleteField arm_admbnda_adm1_2019 ADM1_HY
DeleteField arm_admbnda_adm1_2019 ADM1_RU
Rename D:\APDRN\INFORM_FINAL\ARM\Workspace\ARM_INFORM.gdb\arm_admbnda_adm1_2019 D:\APDRN\INFORM_FINAL\ARM\Workspace\ARM_INFORM.gdb\Admin1_Province_INFORM_GOVARM2019 FeatureClass
JoinField Admin1_Province_INFORM_GOVARM2019 ADM1_PCODE Total_population_fb_2020 ADM1_PCODE SUM_population_2020
DeleteField Admin1_Province_INFORM_GOVARM2019 ADM0_PCODE
CopyMultiple "D:\APDRN\INFORM_FINAL\ARM\Workspace\ARM_INFORM.gdb\Admin1_Province_INFORM_GOVARM2019 FeatureClass;D:\APDRN\INFORM_FINAL\ARM\Workspace\ARM_INFORM.gdb\INFORM_ARM_2021 Table;D:\APDRN\INFORM_FINAL\ARM\Workspace\ARM_INFORM.gdb\No_AccessToWater Table;D:\APDRN\INFORM_FINAL\ARM\Workspace\ARM_INFORM.gdb\No_AccessToWater_SUM Table;D:\APDRN\INFORM_FINAL\ARM\Workspace\ARM_INFORM.gdb\Total_population_fb_2020 Table" D:\APDRN\INFORM_FINAL\ARM\DSS_INFORM_ARM\DSS_INFORM_ARM.gdb Admin1_Province_INFORM_GOVARM2019;INFORM_ARM_2021;No_AccessToWater;No_AccessToWater_SUM;Total_population_fb_2020 "Admin1_Province_INFORM_GOVARM2019 FeatureClass Admin1_Province_INFORM_GOVARM2019 #;INFORM_ARM_2021 TableDataset INFORM_ARM_2021 #;No_AccessToWater TableDataset No_AccessToWater #;No_AccessToWater_SUM TableDataset No_AccessToWater_SUM #;Total_population_fb_2020 TableDataset Total_population_fb_2020 #"
JoinField Admin1_Province_INFORM_GOVARM2019 ADM1_PCODE INFORM_ARM_2021 P_Code Accesss_to_Health;Age_dependency_ratio;cc_class;Children_Vulnerability;Coastal_Flood;Dependency;Disability;Drought;DRR;Earthquake;Economic_Development;Education;Electricity;EXPOSURE_TO_HAZARD;Gender_Inequality;Governance;Health_Institutions;Household;Housing;hz_class;ICT;INFORM_Institutional;INFORM_RISK;Infrastructure;LACK_OF_COPING_CAPACITY;Landslide_EQ;Landslide_PR;Multidimensional_Disadvantage_Index;No_Access_to_Sanitation;No_Access_to_Water;Older_Persons;Physical_Connectivity;Population;Poverty;Priority_1;Priority_2;Priority_3;Priority_4;Priority_5;Rank;RISK_CLASS;Riverine_Flood;Socio_Economic_Vulnerability;Under_Five_Mortality_Rate;Urbanization;vu_class;VULNERABILITY;Vulnerable_Groups;WASH
CalculateField Admin1_Province_INFORM_GOVARM2019 RISK_CLASS calculateRiskScore(!inform_risk!) "Python 3" "
def calculateRiskScore(score):
if (score <= 3.2):
return 'Very Low'
elif (score <= 4.7):
return 'Low'
elif (score <= 5.3):
return 'Medium'
elif (score <= 5.6):
return 'High'
elif (score <= 10):
return 'Very High'
" Text NO_ENFORCE_DOMAINS
CalculateField Admin1_Province_INFORM_GOVARM2019 RISK_CLASS calculateRiskScore(!inform_risk!) "Python 3" "
def calculateRiskScore(score):
if (score <= 4.1):
return 'Very Low'
elif (score <= 4.4):
return 'Low'
elif (score <= 4.7):
return 'Medium'
elif (score <= 5.2):
return 'High'
elif (score <= 10):
return 'Very High'
" Text NO_ENFORCE_DOMAINS
CalculateField Admin1_Province_INFORM_GOVARM2019 hz_class calculateRiskScore(!EXPOSURE_TO_HAZARD!) "Python 3" "
def calculateRiskScore(score):
if (score <= 3.5):
return 'Very Low'
elif (score <= 4.3):
return 'Low'
elif (score <= 4.8):
return 'Medium'
elif (score <= 5.8):
return 'High'
elif (score <= 10):
return 'Very High'
" Text NO_ENFORCE_DOMAINS
CalculateField Admin1_Province_INFORM_GOVARM2019 vu_class calculateRiskScore(!VULNERABILITY!) "Python 3" "
def calculateRiskScore(score):
if (score <= 3.3):
return 'Very Low'
elif (score <= 4.0):
return 'Low'
elif (score <= 5.0):
return 'Medium'
elif (score <= 5.8):
return 'High'
elif (score <= 10):
return 'Very High'
" Text NO_ENFORCE_DOMAINS
CalculateField Admin1_Province_INFORM_GOVARM2019 cc_class calculateRiskScore(!LACK_OF_COPING_CAPACITY!) "Python 3" "
def calculateRiskScore(score):
if (score <= 1.8):
return 'Very Low'
elif (score <= 5.2):
return 'Low'
elif (score <= 6.1):
return 'Medium'
elif (score <= 7.5):
return 'High'
elif (score <= 10):
return 'Very High'
" Text NO_ENFORCE_DOMAINS
DeleteField Admin1_Province_INFORM_GOVARM2019 SUM_population_2020
FeatureToPoint "Province Boundary (2019, GOV-ARM)" D:\APDRN\INFORM_FINAL\ARM\DSS_INFORM_ARM\DSS_INFORM_ARM.gdb\Province_Point_GOVARM2019_2 INSIDE
Sort Province_Point_GOVARM2019_2 D:\APDRN\INFORM_FINAL\ARM\DSS_INFORM_ARM\DSS_INFORM_ARM.gdb\Top10_CC_Score "LACK_OF_COPING_CAPACITY DESCENDING" "Upper right"
DeleteField Top10_CC_Score Accesss_to_Health;ADM0_EN;Age_dependency_ratio;cc_class;Children_Vulnerability;Coastal_Flood;Dependency;Disability;Drought;DRR;Earthquake;Economic_Development;Education;Electricity;EXPOSURE_TO_HAZARD;Gender_Inequality;Governance;Health_Institutions;Household;Housing;hz_class;ICT;INFORM_Institutional;INFORM_RISK;Infrastructure;LACK_OF_COPING_CAPACITY;Landslide_EQ;Landslide_PR;Multidimensional_Disadvantage_Index;No_Access_to_Sanitation;No_Access_to_Water;Older_Persons;ORIG_FID;Physical_Connectivity;Population;Poverty;Priority_1;Priority_2;Priority_3;Priority_4;Priority_5;Rank;RISK_CLASS;Riverine_Flood;Socio_Economic_Vulnerability;Under_Five_Mortality_Rate;Urbanization;vu_class;VULNERABILITY;Vulnerable_Groups;WASH
AddField Top10_CC_Score orderfield "Short (small integer)" # # # # NULLABLE NON_REQUIRED #
CalculateField Top10_CC_Score orderfield !OBJECTID! "Python 3" # Text NO_ENFORCE_DOMAINS
20210830
23100400
20210830
23100400
150000000
5000
INSPIRE
Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 12.8.0.29751
ARM_Top10_CC_Score
Top10
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Armenia administrative level 1 (province)</SPAN></P></DIV></DIV></DIV>
Government of Armenia
Armenia
Top10
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>Please note that the second administrative level is not an official administrative level, but sometimes used by Government agencies.</SPAN></P><P><SPAN>NOTE that the explanatory document excludes the 'AM' prefix added to Armenia P-codes in September 2019</SPAN></P></DIV></DIV>
File Geodatabase Feature Class
0.000
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
Top10_CC_Score
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
ADM0_EN
ADM0_EN
String
254
0
0
ADM1_EN
ADM1_EN
String
254
0
0
ADM1_PCODE
ADM1_PCODE
String
254
0
0
Riverine_Flood
Riverine Flood
Double
8
0
0
Coastal_Flood
Coastal Flood
String
255
0
0
Earthquake
Earthquake
Double
8
0
0
Drought
Drought
Double
8
0
0
Landslide_EQ
Landslide EQ
Double
8
0
0
Landslide_PR
Landslide PR
Double
8
0
0
EXPOSURE_TO_HAZARD
EXPOSURE TO HAZARD
Double
8
0
0
Housing
Housing
Double
8
0
0
Poverty
Poverty
Double
8
0
0
Dependency
Dependency
Double
8
0
0
Gender_Inequality
Gender Inequality
String
255
0
0
Socio_Economic_Vulnerability
Socio-Economic Vulnerability
Double
8
0
0
Children_Vulnerability
Children Vulnerability
Double
8
0
0
Disability
Disability
String
255
0
0
Older_Persons
Older Persons
Double
8
0
0
Vulnerable_Groups
Vulnerable Groups
Double
8
0
0
VULNERABILITY
VULNERABILITY
Double
8
0
0
DRR
DRR
Double
8
0
0
Governance
Governance
Double
8
0
0
Economic_Development
Economic Development
Double
8
0
0
INFORM_Institutional
INFORM Institutional
Double
8
0
0
Education
Education
String
255
0
0
Electricity
Electricity
Integer
4
0
0
ICT
ICT
Double
8
0
0
Physical_Connectivity
Physical Connectivity
Double
8
0
0
WASH
WASH
Double
8
0
0
Accesss_to_Health
Accesss to Health
Double
8
0
0
Infrastructure
Infrastructure
Double
8
0
0
LACK_OF_COPING_CAPACITY
LACK OF COPING CAPACITY
Double
8
0
0
INFORM_RISK
INFORM RISK
Double
8
0
0
RISK_CLASS
RISK CLASS
String
255
0
0
Rank
Rank
Integer
4
0
0
Population
Population
Double
8
0
0
Household
Household
Integer
4
0
0
Multidimensional_Disadvantage_Index
Multidimensional Disadvantage Index
Double
8
0
0
Age_dependency_ratio
Age dependency ratio
Double
8
0
0
Under_Five_Mortality_Rate
Under Five Mortality Rate
Double
8
0
0
No_Access_to_Water
No Access to Water
Double
8
0
0
No_Access_to_Sanitation
No Access to Sanitation
Double
8
0
0
Health_Institutions
Health Institutions
Double
8
0
0
Urbanization
Urbanization
Double
8
0
0
Priority_1
Priority 1
String
255
0
0
Priority_2
Priority 2
String
255
0
0
Priority_3
Priority 3
String
255
0
0
Priority_4
Priority 4
String
255
0
0
Priority_5
Priority 5
String
255
0
0
hz_class
hz_class
String
255
0
0
vu_class
vu_class
String
255
0
0
cc_class
cc_class
String
255
0
0
ORIG_FID
ORIG_FID
Integer
4
0
0
20210830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