Closed ansell closed 5 years ago
These do look authoritative and comprehensive. How do they compare with what we currently have loaded?
Some of the layers included there are in the process of being loaded still as part of the IEK sprint, but they were sourced separately from the various agencies/departments that publish them first. Others were loaded in the past separately and I am not sure what the process for updating those layers is.
As far as I can tell there are no additions or changes in this dataset, they just copy the most recent version of the primary source dataset and include it in this one, so there is no implicit value other than being able to source all of the most recent versions regularly. That may itself be valuable in terms of time if we can automate the updates for this dataset.
Just for reference, the shapefiles available in this dataset include the following:
Thanks Peter. I agree. As a one-stop shop, it makes sense to source the layers here and try to automate the process as best as can.
Just for reference,
Started work on the electoral and political boundaries layers first due to a request from MERIT. Layers uploaded and fields being created gradually
Commonwealth Electoral Boundaries, ABS SA1 2011 and ABS SA2 2011 are all triggering some kind of exception in spatial-service that results in no columns from the shapefile showing in the dropdown list when attempting to create fields based on them. The uploads are succeeding, but there are many silent exception cases that could be occurring for these files. Some of the issues being tracked on spatial-service for fixing in the future specifically related to these three layers are:
https://github.com/AtlasOfLivingAustralia/spatial-service/issues/18
https://github.com/AtlasOfLivingAustralia/spatial-service/issues/25
The Geometries for State Electoral Regions in the May 2016 release are not unique to electoral regions. In particular, for a few cases there are multiple "Electoral Regions" encompassing some of WA. The only reason that this is inherently visible to me programmatically is that I was expecting the "geom" field to be unique when joined to SE_PID or SE_PLY_PID, but there are identical geom field MULTIPOLYGON values assigned to different SE_PID's via different SE_PLY_PID's that indicate there are two different state electoral regions each encompassing the same physical boundaries which seems to be incorrect given my understanding of electoral regions.
In the UCL_2011 dataset, UCL_11CODE, SSR_11CODE, and SOS_11CODE do not change when the equivalent names, UCL_11NAME, SSR_11NAME, and SOS_11NAME change. Hence, the Codes should not be relied on for programmatic identification, only the PIDs that do seem to change to match the names (1821 unique values for both UCL_11PID and UCL_11NAME)
Hi @adam-collins, the shapefiles distributed by PSMA Australia Limited that are part of this issue, (except for Town Points which are not Polygon based), have now been loaded into spatial-test with the following field numbers.
The actual copying of these to production would likely make Cassandra/Solr/Biocache push their memory limitations with respect to record size, so the data team (cc @M-Nicholls) do not want these pushed to production before the Cassandra 3+sharding and Solr Cloud 5/6 changes being worked on by @djtfmartin occur, which won't be happening until at least after the BIE updates, but letting you know which fields have been added so you can review them during the spatial sprint.
The process of producing these shapefiles for the future PSMA quarterly releases will involve some small changes to field names, as things like "2011" are encoded in field and file names as "11", but otherwise should be fairly simple in terms of interaction.
Hi @adam-collins could you push across the indigenous related layers from this work, 10881, 10882, 10883, 10884, 10885, 10886. They have all had their "include in biocache index" settings switched off and they are not currently set to replace existing layers so they will not affect biocache index record sizes. They are urgently required by @StephanievG for a conference next week. Refs https://github.com/AtlasOfLivingAustralia/seasonal-calendar/issues/39
Currently still presuming that the previous layer uploads for this cannot be rescued after the database issue.
A future version of this will focus initially on whatever the latest layers are from PSMA/ABS at the time this issue is worked on. This is likely to include recent electoral boundary redistributions, the 2016 census, and the latest ABS statistics
Freshdesk issue 29289 requires LGA updated to a version less than 2 years old to pickup a new council name. Adding the May 2016 layer may not do that, so will be best to load from the latest PSMA dataset when scheduling for this issue comes up.
The government open sourced a dataset containing administrative boundaries for Australia on data.gov.au that may be useful to ALA:
https://data.gov.au/dataset/psma-administrative-boundaries
psma-administrative-boundaries
zip file fromdata.gov.au
region_id
field, and removal of thesequential
datapack download requiring a switch to use theshort
datapack.nectar-spatial-staging
The layers for the November 2018 PSMA Administrative Boundaries include:
2016Census_I01A_AUST_IARE
2016 ABS Australian Census Selected Person Characteristics by Indigenous Status by Sex
Date: August 2016
2016Census_I01A_AUST_IARE
summary CSV file and detail the primary key statistics here:Main field:
IARE_16COD
7055 geometries, 412 unique values[x] Review the
shp-dump
PNG output for2016Census_I01A_AUST_IARE
[x] Upload
2016Census_I01A_AUST_IARE
shapefile tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10927Tot_p_In_2
in shapefile,Tot_p_Indig_P
in short,I3
in sequential,Total_persons_Aboriginal_and_or_Torres_Strait_Islander_Persons
in long[x] Load
Tot_p_In_2
field from2016Census_I01A_AUST_IARE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10927[x] Copy
Tot_p_In_2
field fromnectar-spatial-staging
toaws-spatial-prod
Den_I3
in shapefile,Density of Total persons: Aboriginal and/or Torres Strait Islander persons
[x] Load
Den_I3
field from2016Census_I01A_AUST_IARE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl110927[x] Copy
Den_I3
field fromnectar-spatial-staging
toaws-spatial-prod
Tot_p_No_2
in shapefile,Tot_p_NonInd_P
in short,I6
in sequential,Total_persons_Non_Indigenous_Persons
in long[x] Load
Tot_p_No_2
field from2016Census_I01A_AUST_IARE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl210927[x] Copy
Tot_p_No_2
field fromnectar-spatial-staging
toaws-spatial-prod
Den_I6
in shapefile,Density of Total persons: Non-Indigenous persons
[x] Load
Den_I6
field from2016Census_I01A_AUST_IARE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl310927[x] Copy
Den_I6
field fromnectar-spatial-staging
toaws-spatial-prod
Tot_p_TotP
in shapefile,Tot_p_TotP
in short,I12
in sequential,Total_persons_Total_Persons
in long[x] Load
Tot_p_TotP
field from2016Census_I01A_AUST_IARE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl410927[x] Copy
Tot_p_TotP
field fromnectar-spatial-staging
toaws-spatial-prod
Den_I12
in shapefile,Density of Total persons
[x] Load
Den_I12
field from2016Census_I01A_AUST_IARE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl510927[x] Copy
Den_I12
field fromnectar-spatial-staging
toaws-spatial-prod
2016Census_I01B_AUST_IARE
2016 ABS Australian Census Indigenous Status by Sex
Date: August 2016
2016Census_I01B_AUST_IARE
summary CSV file and detail the primary key statistics here:Main field:
IARE_16COD
7055 geometries, 412 unique values[x] Review the
shp-dump
PNG output for2016Census_I01B_AUST_IARE
[x] Upload
2016Census_I01B_AUST_IARE
shapefile tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10928Lsh_Aust_2
in shapefile,Lsh_Austn_Indig_Lang_TotP
in short,I276
in sequential,Language_spoken_at_home_Australian_Indigenous_Languages_Total_Persons
in long[x] Load
Lsh_Aust_2
field from2016Census_I01B_AUST_IARE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10928[x] Copy
Lsh_Aust_2
field fromnectar-spatial-staging
toaws-spatial-prod
Den_I276
in shapefile,Density of Language spoken at home Australian Indigenous Languages Total Persons
[x] Load
Den_I276
field from2016Census_I01B_AUST_IARE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl110928[x] Copy
Den_I276
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_COMM_ELECTORAL
Commonwealth Electoral Boundaries captures the boundaries for Commonwealth Electorates.
Date: August 2018
COMPLETE_COMM_ELECTORAL
summary CSV file and detail the primary key statistics here:Main field:
NAME
7298 geometries, 151 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_COMM_ELECTORAL
[x] Upload
COMPLETE_COMM_ELECTORAL
shapefile tonectar-spatial-staging
( https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10921 )NAME
,Commonwealth Electoral Division
[x] Load
NAME
field fromCOMPLETE_COMM_ELECTORAL
layer ( https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10921 )[x] Copy
NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_GCCSA_2016
2016 ABS Greater Capital City Statistical Areas
Date: November 2017
COMPLETE_GCCSA_2016
summary CSV file and detail the primary key statistics here:Main field:
GCC_16NAME
6645 geometries, 16 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_GCCSA_2016
[x] Load
COMPLETE_GCCSA_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10929GCC_16NAME
Greater Capital City Statistical Area name
[x] Load
GCC_16NAME
field fromCOMPLETE_GCCSA_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10929[x] Copy
GCC_16NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_IARE_2016
2016 ABS Indigenous Areas
Date: February 2017
COMPLETE_IARE_2016
summary CSV file and detail the primary key statistics here:Main field:
IARE_16NAM
7055 geometries, 412 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_IARE_2016
[x] Load
COMPLETE_IARE_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10933IARE_16NAM
Indigenous Area name
[x] Load
IARE_16NAM
field fromCOMPLETE_IARE_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10933[x] Copy
IARE_16NAM
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_ILOC_2016
2016 ABS Indigenous Locations
Date: February 2017
COMPLETE_ILOC_2016
summary CSV file and detail the primary key statistics here:Main field:
ILOC_16NAM
7733 geometries, 1097 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_ILOC_2016
[x] Load
COMPLETE_ILOC_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10934ILOC_16NAM
Indigenous Location name
[x] Load
ILOC_16NAM
field fromCOMPLETE_ILOC_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10934[x] Copy
ILOC_16NAM
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_IREG_2016
2016 ABS Indigenous Regions
Date: February 2017
COMPLETE_IREG_2016
summary CSV file and detail the primary key statistics here:Main field:
IREG_16NAM
6663 geometries, 40 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_IREG_2016
[x] Load
COMPLETE_IREG_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10935IREG_16NAM
Indigenous Region name
[x] Load
IREG_16NAM
field fromCOMPLETE_IREG_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10935[x] Copy
IREG_16NAM
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_LGA
Local Government Areas
Date: November 2018
COMPLETE_LGA
summary CSV file and detail the primary key statistics here:Main field:
LGA_NAME
6005 geometries, 560 unique valuesABB_NAME
6005 geometries, 554 unique values (Important: Note in the final documentation that these are not unique)[x] Review the
shp-dump
PNG output forCOMPLETE_LGA
[x] Load
COMPLETE_LGA
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10923LGA_NAME
Official local government name as supplied by jurisdiction
[x] Load
LGA_NAME
field fromCOMPLETE_LGA
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10923[x] Copy
LGA_NAME
field fromnectar-spatial-staging
toaws-spatial-prod
ABB_NAME
Abbreviated LGA name
[x] Load
ABB_NAME
field fromCOMPLETE_LGA
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl110923[x] Copy
ABB_NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_LOCALITY
Localities
Date: November 2018
COMPLETE_LOCALITY
summary CSV file and detail the primary key statistics here:Main field:
NAME
16321 geometries, 14524 unique values Other fields:LC_NAM_AUT
16321 geometries, 3 unique values (DISTRICT, GAZETTED LOCALITY, HUNDRED
)[x] Review the
shp-dump
PNG output forCOMPLETE_LOCALITY
[x] Load
COMPLETE_LOCALITY
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10924NAME
Name of the suburb or locality.
[x] Load
NAME
field fromCOMPLETE_LOCALITY
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10924[x] Copy
NAME
field fromnectar-spatial-staging
toaws-spatial-prod
LC_NAM_AUT
Description of what this locality type represents
[x] Load
LC_NAM_AUT
field fromCOMPLETE_LOCALITY
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl110924[x] Copy
LC_NAM_AUT
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_MB_2016
2016 ABS Mesh Blocks
Date: November 2017
COMPLETE_MB_2016
summary CSV file and detail the primary key statistics here:Main field:
MB_16CODE
358011 geometries, 359009 unique values Other fields:MB_CT_NAME
358011 geometries, 10 unique values (COMMERCIAL
,EDUCATION
,HOSPITAL/MEDICAL
,INDUSTRIAL
,OTHER
,PARKLAND
,PRIMARY PRODUCTION
,RESIDENTIAL
,TRANSPORT
,WATER
)MB16_POP
358011 geometries, 791 unique valuesMB16_DWELL
358011 geometries, 464 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_MB_2016
[x] Load
COMPLETE_MB_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10932MB_16CODE
Mesh Block Code
(Not doing this one)[ ] Load
MB_16CODE
field fromCOMPLETE_MB_2016
layer[ ] Copy
MB_16CODE
field fromnectar-spatial-staging
toaws-spatial-prod
MB_CT_NAME
Mesh Block Category
[x] Load
MB_CT_NAME
field fromCOMPLETE_MB_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10932[ ] Copy
MB_CT_NAME
field fromnectar-spatial-staging
toaws-spatial-prod
(FIXME: This was done, but there was an error retrieving it from ala-dylan, deleting and readding didn't help, so it is left only on nectar-spatial-staging at this point)MB16_POP
Count of persons usually resident within
(Not doing this one)[ ] Load
MB16_POP
field fromCOMPLETE_MB_2016
layer[ ] Copy
MB16_POP
field fromnectar-spatial-staging
toaws-spatial-prod
MB16_DWELL
Count of dwellings within mesh block
(Not doing this one)[ ] Load
MB16_DWELL
field fromCOMPLETE_MB_2016
layer[ ] Copy
MB16_DWELL
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_REMOTENESS_2016
2016 Remoteness Areas
Date: May 2018
COMPLETE_REMOTENESS_2016
summary CSV file and detail the primary key statistics here:Main field:
REM16_CODE
6773 geometries, 35 unique values Other fields:RC_NME_AUT
6773 geometries, 5 unique values (Inner Regional Australia
,Major Cities of Australia
,Outer Regional Australia
,Remote Australia
,Very Remote Australia
)[x] Review the
shp-dump
PNG output forCOMPLETE_REMOTENESS_2016
[x] Load
COMPLETE_REMOTENESS_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10936REM16_CODE
Remoteness Area Code
(Not loading)[ ] Load
REM16_CODE
field fromCOMPLETE_REMOTENESS_2016
layer[ ] Copy
REM16_CODE
field fromnectar-spatial-staging
toaws-spatial-prod
RC_NME_AUT
Describes the remoteness of town (e.g. Urban, Rural, Remote)
[x] Load
RC_NME_AUT
field fromCOMPLETE_REMOTENESS_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10936[x] Copy
RC_NME_AUT
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_SA1_2016
2016 ABS SA1
Date: November 2017
COMPLETE_SA1_2016
summary CSV file and detail the primary key statistics here:Main field:
SA1_16MAIN
64043 geometries, 57490 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_SA1_2016
[ ] Load
COMPLETE_SA1_2016
layer tonectar-spatial-staging
SA1_16MAIN
SA1 Code
[ ] Load
SA1_16MAIN
field fromCOMPLETE_SA1_2016
layer[ ] Copy
SA1_16MAIN
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_SA2_2016
2016 ABS SA2
Date: November 2017
COMPLETE_SA2_2016
summary CSV file and detail the primary key statistics here:Main field:
SA2_16NAME
8921 geometries, 2292 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_SA2_2016
[x] Load
COMPLETE_SA2_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10941SA2_16NAME
SA2 Name
[x] Load
SA2_16NAME
field fromCOMPLETE_SA2_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10941[x] Copy
SA2_16NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_SA3_2016
2016 ABS SA3
Date: November 2017
COMPLETE_SA3_2016
summary CSV file and detail the primary key statistics here:Main field:
SA3_16NAME
6971 geometries, 340 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_SA3_2016
[x] Load
COMPLETE_SA3_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10942SA3_16NAME
SA3 Name
[x] Load
SA3_16NAME
field fromCOMPLETE_SA3_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10942[x] Copy
SA3_16NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_SA4_2016
2016 ABS SA4
Date: November 2017
COMPLETE_SA4_2016
summary CSV file and detail the primary key statistics here:Main field:
SA4_16NAME
6721 geometries, 89 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_SA4_2016
[x] Load
COMPLETE_SA4_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10943SA4_16NAME
SA4 Name
[x] Load
SA4_16NAME
field fromCOMPLETE_SA4_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10943[x] Copy
SA4_16NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_SEIFA_2016
Date: May 2018
COMPLETE_SEIFA_2016
summary CSV file and detail the primary key statistics here:Main field:
SIEFA16PID
59716 geometries, 59716 unique values Other fields:POP
59716 geometries, 1355 unique valuesDen_POP
59716 geometries, 54456 unique valuesIRSAD_SCR
59716 geometries 683 unique valuesIRSAD_A_PC
59510 geometries 100 unique valuesIRSD_SCR
59716 geometries 753 unique valuesIRSD_A_PC
59510 geometries 100 unique valuesIER_SCR
59716 geometries 756 unique valuesIER_A_PC
59536 geometries 100 unique valuesIEO_SCR
59716 geometries 604 unique valuesIEO_A_PC
59707 geometries 100 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_SEIFA_2016
[ ] Load
COMPLETE_SEIFA_2016
layer tonectar-spatial-staging
SEIFA16PID
SEIFA Code
[ ] Load
SEIFA16PID
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
SEIFA16PID
field fromnectar-spatial-staging
toaws-spatial-prod
POP
Usual resident population
[ ] Load
POP
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
POP
field fromnectar-spatial-staging
toaws-spatial-prod
Den_POP
Density of usual resident population
[ ] Load
Den_POP
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
Den_POP
field fromnectar-spatial-staging
toaws-spatial-prod
IRSAD_SCR
Index of Relative Socio-economic Advantage and Disadvantage - Score
[ ] Load
IRSAD_SCR
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
IRSAD_SCR
field fromnectar-spatial-staging
toaws-spatial-prod
IRSAD_A_PC
`Index of Relative Socio-economic Advantage and Disadvantage - Percentile[ ] Load
IRSAD_A_PC
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
IRSAD_A_PC
field fromnectar-spatial-staging
toaws-spatial-prod
within Australia`IRSD_SCR
Index of Relative Socio-economic Disadvantage - Score
[ ] Load
IRSD_SCR
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
IRSD_SCR
field fromnectar-spatial-staging
toaws-spatial-prod
IRSD_A_PC
Index of Relative Socio-economic Disadvantage - Percentile within Australia
[ ] Load
IRSD_A_PC
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
IRSD_A_PC
field fromnectar-spatial-staging
toaws-spatial-prod
IER_SCR
Index of Economic Resources - Score
[ ] Load
IER_SCR
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
IER_SCR
field fromnectar-spatial-staging
toaws-spatial-prod
IER_A_PC
Index of Economic Resources - Percentile within Australia
[ ] Load
IER_A_PC
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
IER_A_PC
field fromnectar-spatial-staging
toaws-spatial-prod
IEO_SCR
Index of Education and Occupation - Score
[ ] Load
IEO_SCR
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
IEO_SCR
field fromnectar-spatial-staging
toaws-spatial-prod
IEO_A_PC
Index of Education and Occupation - Percentile within Australia
[ ] Load
IEO_A_PC
field fromCOMPLETE_SEIFA_2016
layer[ ] Copy
IEO_A_PC
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_SOS_2016
Date: May 2018
COMPLETE_SOS_2016
summary CSV file and detail the primary key statistics here:Main field:
SOS_16NAME
8419 geometries, 4 unique values (BOUNDED LOCALITY
,MAJOR URBAN
,OTHER URBAN
,RURAL BALANCE
)[x] Review the
shp-dump
PNG output forCOMPLETE_SOS_2016
[x] Load
COMPLETE_SOS_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10937SOS_16NAME
Section of State name
[x] Load
SOS_16NAME
field fromCOMPLETE_SOS_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10937[x] Copy
SOS_16NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_SOSR_2016
Date: May 2018
COMPLETE_SOSR_2016
summary CSV file and detail the primary key statistics here:Main field: SSR_16CODE` 8443 geometries, 71 unique values Other fields:
SSR_16NAME
8443 geometries, 11 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_SOSR_2016
[x] Load
COMPLETE_SOSR_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10938SSR_16CODE
Section of State Range code
(Not loading this field)[ ] Load
SSR_16CODE
field fromCOMPLETE_SOSR_2016
layer[ ] Copy
SSR_16CODE
field fromnectar-spatial-staging
toaws-spatial-prod
SSR_16NAME
Section of State Range name
[x] Load
SSR_16NAME
field fromCOMPLETE_SOSR_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10938[x] Copy
SSR_16NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_STATE
Date: May 2016
COMPLETE_STATE
summary CSV file and detail the primary key statistics here:Main field:
STATE_NAME
12680 geometries, 9 unique values Other fields:ST_ABBREV
12680 geometries, 9 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_STATE
[x] Load
COMPLETE_STATE
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10925STATE_NAME
State Name
[x] Load
STATE_NAME
field fromCOMPLETE_STATE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10925[x] Copy
STATE_NAME
field fromnectar-spatial-staging
toaws-spatial-prod
ST_ABBREV
State Abbreviation
[x] Load
ST_ABBREV
field fromCOMPLETE_STATE
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl110925[x] Copy
ST_ABBREV
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_STATE_ELECTORAL
Date: February 2018
COMPLETE_STATE_ELECTORAL
summary CSV file and detail the primary key statistics here:Main field:
NAME
3291 geometries, 481 unique values Other fields:SE_NAM_AUT
3291 geometries, 3 unique values (House of Assembly
,Legislative Assembly
,Legislative Council
)[x] Review the
shp-dump
PNG output forCOMPLETE_STATE_ELECTORAL
[x] Load
COMPLETE_STATE_ELECTORAL
layer tonectar-spatial-staging
( https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10922 )NAME
State electorate name
[x] Load
NAME
field fromCOMPLETE_STATE_ELECTORAL
layer ( https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10922 )[x] Copy
NAME
field fromnectar-spatial-staging
toaws-spatial-prod
SE_NAME_AUT
State Electoral classes
[x] Load
SE_NAME_AUT
field fromCOMPLETE_STATE_ELECTORAL
layer (https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl110922 )[x] Copy
SE_NAME_AUT
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_SUA_2016
Date: May 2018
COMPLETE_SUA_2016
summary CSV file and detail the primary key statistics here:Main field:
SUA_16NAME
6750 geometries, 110 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_SUA_2016
[x] Load
COMPLETE_SUA_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10939SUA_16NAME
Significant Urban Area name
[x] Load
SUA_16NAME
field fromCOMPLETE_SUA_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10939[x] Copy
SUA_16NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_UCL_2016
Date: May 2018
COMPLETE_UCL_2016
summary CSV file and detail the primary key statistics here:Main field:
UCL_16NAME
8479 geometries, 1835 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_UCL_2016
[x] Load
COMPLETE_UCL_2016
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10940UCL_16NAME
Urban Centre and Locality name
[x] Load
UCL_16NAME
field fromCOMPLETE_UCL_2016
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10940[x] Copy
UCL_16NAME
field fromnectar-spatial-staging
toaws-spatial-prod
COMPLETE_WARD
Date: November 2018
COMPLETE_WARD
summary CSV file and detail the primary key statistics here:Main field:
NAME
1481 geometries, 477 unique values[x] Review the
shp-dump
PNG output forCOMPLETE_WARD
[x] Load
COMPLETE_WARD
layer tonectar-spatial-staging
https://nectar-spatial-staging.ala.org.au/ws/manageLayers/layer/10926NAME
Ward name as supplied by jurisdiction
[x] Load
NAME
field fromCOMPLETE_WARD
layer https://nectar-spatial-staging.ala.org.au/ws/manageLayers/field/cl10926[x] Copy
NAME
field fromnectar-spatial-staging
toaws-spatial-prod