Boundaries

At the core of wombat is the "boundary" which selects the regions (or polygons) on which everything is based. It is set at the outset and then all data in question relates to the objects in those areas. Rather than making wombat specific to just the capital cities or the top N populated cities, we enable any scale analyses.

Statistical Areas In Wombat¶

Let's first review the Australian Statistical Area Standard in the following diagram and how these are coded in Wombat.

On the left we have the Statistical Areas from the Australian Statistical Geography Standard (ASGS). On the right, we have the code adopted in wombat to refer to those levels. Given the natural hierarchical structure of these nested statistical areas, it lends itself well to a directed network.

The most widely used library for handling these kinds of structures is networkx. This is what is used in wombat to manage connections between statistical areas at different spatial scales.

Exploring The Graph Of Statistical Areas¶

Let's now first explore the scales of these regions in Australia. Please first see our primer on the core Statistical Area concepts first if you are unfamiliar with how this is managed by the government in Australia.

First all the statistical area from the ASGS website (download here) was downloaded and processed as a hierarchical tree. The GeoHierarchy (link) was developed to process these GPKG files and create the networkx graph connecting all of the regions in Australia. Once fully constructed, the total number of nodes is 464305 (areas) with 464802 edges (connections) and is ~1.65GB (gpickle format). This graph is accessibly via wombat.Boundary.graph.G but more convenient abstractions have been developed to perform specific geospatial manipulations.

Let's explore some of these below:

In [52]:

import wombat,os
w = wombat.Wombat(os.environ['WOMBAT_DATA_PATH'])
w.Boundary.graph   # GeoHierarchy handler for Australian statistical areas
w.Boundary.graph.G # networkx graph object

import wombat,os w = wombat.Wombat(os.environ['WOMBAT_DATA_PATH']) w.Boundary.graph # GeoHierarchy handler for Australian statistical areas w.Boundary.graph.G # networkx graph object

Out[52]:

<networkx.classes.digraph.DiGraph at 0x2af996d00>

The two core attributes of each node or statistical area is the level and the label.

• The level refers to the above categories, e.g. SA4 or GCCSA.
• The label refers to the name of the statistical are, e.g. Greater Brisbane, or Queensland.

We can get a summary of the codes from above to remind us as follows

In [13]:

w.Boundary.info

w.Boundary.info

Out[13]:

ADD      Australian Drainage Divisions are an ABS Mesh ...
ALL                                                   None
AUS      Australia (AUS) is the largest region in the A...
CED      Commonwealth Electoral Divisions are an ABS Me...
DZN      Destination Zones are co-designed with state a...
GCCSA    Greater Capital City Statistical Areas (GCCSAs...
IARE     Indigenous Areas (IAREs) are medium sized geog...
ILOC     Indigenous Locations (ILOCs) represent small A...
IREG     Indigenous Regions (IREGs) are large geographi...
LGA      Local Government Areas are an ABS Mesh Block r...
MB       Mesh Blocks (MBs) are the smallest geographic ...
POA      Postal Areas are an ABS Mesh Block approximati...
SA1      Statistical Areas Level 1 (SA1s) are designed ...
SA2      Statistical Areas Level 2 (SA2s) are medium-si...
SA3      Statistical Areas Level 3 (SA3s) are designed ...
SA4      Statistical Areas Level 4 (SA4s) are designed ...
SAL      Suburbs and Localities (formerly State Suburbs...
SED      State Electoral Divisions are an ABS Mesh Bloc...
SOS      Section of State (SOS) groups the UCLs into cl...
SOSR     Section of State Range (SOSR) provides a more ...
STATE    States and Territories (S/T) are a cartographi...
SUA      Significant Urban Areas (SUAs) represent indiv...
TR       Tourism Regions are an ABS SA2 approximation o...
UCL      Urban Centres and Localities (UCLs) are aggreg...
dtype: object

In [14]:

w.Boundary.info['TR']

w.Boundary.info['TR']

Out[14]:

'Tourism Regions are an ABS SA2 approximation of tourism regions as provided by Tourism Research Australia.'

Let's make a quick function to check how many we have at each level.

In [38]:

#Or just accessible via
w.Boundary.graph.level_counts

#Or just accessible via w.Boundary.graph.level_counts

Out[38]:

{'AUS': 1,
 'STATE': 9,
 'GCCSA': 34,
 'SA4': 107,
 'SA3': 358,
 'SA2': 2475,
 'SA1': 61844,
 'MB': 368285,
 'SAL': 15007,
 'ADD': 16,
 'TR': 76,
 'CED': 72,
 'SED': 103,
 'DZN': 9328,
 'POA': 2643,
 'LGA': 385,
 'SOS': 52,
 'SOSR': 41,
 'UCL': 1836,
 'SUA': 70,
 'IREG': 8,
 'IARE': 416,
 'ILOC': 1138}

e.g. The root node AUS (Australia) has one node and the STATE code has 9 states & territories, 368k mesh blocks, 8 Indigenous Regions etc. Let's now take a look at a sub-graph of say a Greater Capital City Area and it's "child areas" or nodes.

In [44]:

brisbane_node = w.Boundary.get_boundary(label="Greater Brisbane",level=None)
brisbane_node

brisbane_node = w.Boundary.get_boundary(label="Greater Brisbane",level=None) brisbane_node

Out[44]:

	label	uri	geometry	area_sqkm	level
3GBRI	Greater Brisbane	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((153.23213 -27.42089, 153.23179...	15842.0073	GCCSA

In [57]:

# note network operations are applied on the graph, not at 
subG = w.Boundary.graph.get_subnetwork(brisbane_node, depth=1,remove_geometry=True)

# note network operations are applied on the graph, not at subG = w.Boundary.graph.get_subnetwork(brisbane_node, depth=1,remove_geometry=True)

In [69]:

brisbane_node

brisbane_node

Out[69]:

	label	uri	geometry	area_sqkm	level
3GBRI	Greater Brisbane	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((153.23213 -27.42089, 153.23179...	15842.0073	GCCSA

Common Queries¶

We may want to access all the regions of a particular level. wombat has a number of helpder functions, for example.

In [60]:

# get country boundary
gdf = w.Boundary.get_country()
gdf

# get country boundary gdf = w.Boundary.get_country() gdf

Out[60]:

	label	uri	geometry	area_sqkm	level
AUS	Australia	http://linked.data.gov.au/dataset/asgsed3/AUS/AUS	MULTIPOLYGON (((96.91524 -12.15313, 96.91528 -...	7.688095e+06	AUS

In [61]:

# get state boundary
gdf = w.Boundary.get_states()
gdf

# get state boundary gdf = w.Boundary.get_states() gdf

Out[61]:

	label	uri	geometry	area_sqkm	level
8	Australian Capital Territory	http://linked.data.gov.au/dataset/asgsed3/STE/8	MULTIPOLYGON (((149.06239 -35.15910, 149.06152...	2.358133e+03	STATE
1	New South Wales	http://linked.data.gov.au/dataset/asgsed3/STE/1	MULTIPOLYGON (((159.06230 -31.50886, 159.06244...	8.007977e+05	STATE
7	Northern Territory	http://linked.data.gov.au/dataset/asgsed3/STE/7	MULTIPOLYGON (((133.02818 -10.90839, 133.02631...	1.348134e+06	STATE
9	Other Territories	http://linked.data.gov.au/dataset/asgsed3/STE/9	MULTIPOLYGON (((167.94747 -29.12757, 167.94739...	2.557420e+02	STATE
3	Queensland	http://linked.data.gov.au/dataset/asgsed3/STE/3	MULTIPOLYGON (((142.53140 -10.68301, 142.53232...	1.730171e+06	STATE
4	South Australia	http://linked.data.gov.au/dataset/asgsed3/STE/4	MULTIPOLYGON (((140.66025 -38.06256, 140.66046...	9.842314e+05	STATE
6	Tasmania	http://linked.data.gov.au/dataset/asgsed3/STE/6	MULTIPOLYGON (((144.60439 -41.01001, 144.60437...	6.801754e+04	STATE
2	Victoria	http://linked.data.gov.au/dataset/asgsed3/STE/2	MULTIPOLYGON (((146.29286 -39.15778, 146.29275...	2.274962e+05	STATE
5	Western Australia	http://linked.data.gov.au/dataset/asgsed3/STE/5	MULTIPOLYGON (((117.86953 -35.19108, 117.86945...	2.526632e+06	STATE

In [62]:

# get a specific state
gdf = w.Boundary.get_state("Queensland")
gdf

# get a specific state gdf = w.Boundary.get_state("Queensland") gdf

Out[62]:

	label	uri	geometry	area_sqkm	level
3	Queensland	http://linked.data.gov.au/dataset/asgsed3/STE/3	MULTIPOLYGON (((142.53140 -10.68301, 142.53232...	1.730171e+06	STATE

In [80]:

# get indigenous regions
gdf = w.Boundary.get_indigenous_regions()
gdf

# get indigenous regions gdf = w.Boundary.get_indigenous_regions() gdf

Out[80]:

	label	uri	geometry	area_sqkm	level
708	Alice Springs	http://linked.data.gov.au/dataset/asgsed3/IREG...	MULTIPOLYGON (((133.91952 -23.66479, 133.91951...	327.7132	IREG
709	Apatula	http://linked.data.gov.au/dataset/asgsed3/IREG...	MULTIPOLYGON (((137.99876 -23.87195, 137.99865...	569272.6927	IREG
704	Jabiru - Tiwi	http://linked.data.gov.au/dataset/asgsed3/IREG...	MULTIPOLYGON (((129.69308 -14.80637, 129.69361...	104472.1761	IREG
902	Jervis Bay	http://linked.data.gov.au/dataset/asgsed3/IREG...	MULTIPOLYGON (((150.71526 -35.13088, 150.71512...	67.2296	IREG
705	Katherine	http://linked.data.gov.au/dataset/asgsed3/IREG...	MULTIPOLYGON (((137.41178 -16.14504, 137.40920...	321835.2135	IREG
706	Nhulunbuy	http://linked.data.gov.au/dataset/asgsed3/IREG...	MULTIPOLYGON (((135.61089 -14.53645, 135.61170...	38025.1366	IREG
903	Norfolk Island	http://linked.data.gov.au/dataset/asgsed3/IREG...	MULTIPOLYGON (((167.94646 -29.13597, 167.94667...	38.6510	IREG
707	Tennant Creek	http://linked.data.gov.au/dataset/asgsed3/IREG...	MULTIPOLYGON (((135.75459 -16.95373, 135.70637...	303211.1804	IREG

In [70]:

#get greater capital city areas
gdf = w.Boundary.get_gccs()
gdf

#get greater capital city areas gdf = w.Boundary.get_gccs() gdf

Out[70]:

	label	uri	geometry	area_sqkm	level
8ACTE	Australian Capital Territory	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((149.06239 -35.15910, 149.06152...	2358.1330	GCCSA
4GADE	Greater Adelaide	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((138.65522 -34.55213, 138.65502...	3259.8859	GCCSA
3GBRI	Greater Brisbane	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((153.23213 -27.42089, 153.23179...	15842.0073	GCCSA
7GDAR	Greater Darwin	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((131.03248 -12.05831, 131.03443...	3167.7034	GCCSA
6GHOB	Greater Hobart	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((147.60058 -42.86784, 147.60065...	1695.3611	GCCSA
2GMEL	Greater Melbourne	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((144.88829 -38.50260, 144.88826...	9992.6081	GCCSA
5GPER	Greater Perth	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((115.66990 -32.19610, 115.67003...	6416.5721	GCCSA
1GSYD	Greater Sydney	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((151.28159 -33.83318, 151.28167...	12368.6858	GCCSA

Advanced Queries¶

Coming soon...

Visualising Statistical Areas¶

We can then simply add these GeoPandas dataframes to our wombat leaflet map as easily as follows:

In [5]:

w.add_nodes_to_map(brisbane_node)
w

w.add_nodes_to_map(brisbane_node) w

Out[5]:

We can access functions of the graph as normal, eg. because it is a DiGraph, we can add the next level down to the map as well (in this case, SA4).

Or on a more practical level (geopandas)

In [12]:

brisbane_node_children = w.Boundary.get_boundaries_down(brisbane_node)
brisbane_node_children

brisbane_node_children = w.Boundary.get_boundaries_down(brisbane_node) brisbane_node_children

Out[12]:

	label	uri	geometry	area_sqkm	level
0	Brisbane - East	http://linked.data.gov.au/dataset/asgsed3/SA4/301	MULTIPOLYGON (((153.22243 -27.39012, 153.22243...	653.1329	SA4
1	Brisbane - North	http://linked.data.gov.au/dataset/asgsed3/SA4/302	MULTIPOLYGON (((153.05930 -27.41036, 153.05965...	186.9483	SA4
2	Brisbane - South	http://linked.data.gov.au/dataset/asgsed3/SA4/303	MULTIPOLYGON (((153.11638 -27.48653, 153.11606...	265.3445	SA4
3	Brisbane - West	http://linked.data.gov.au/dataset/asgsed3/SA4/304	MULTIPOLYGON (((152.94973 -27.52916, 152.94954...	269.6508	SA4
4	Brisbane Inner City	http://linked.data.gov.au/dataset/asgsed3/SA4/305	MULTIPOLYGON (((153.03520 -27.41424, 153.03491...	81.7393	SA4
5	Ipswich	http://linked.data.gov.au/dataset/asgsed3/SA4/310	MULTIPOLYGON (((152.97064 -27.54878, 152.97056...	6681.1781	SA4
6	Logan - Beaudesert	http://linked.data.gov.au/dataset/asgsed3/SA4/311	MULTIPOLYGON (((153.20809 -27.64496, 153.20751...	2586.1630	SA4
7	Moreton Bay - North	http://linked.data.gov.au/dataset/asgsed3/SA4/313	MULTIPOLYGON (((153.12103 -26.84384, 153.12112...	4344.4557	SA4
8	Moreton Bay - South	http://linked.data.gov.au/dataset/asgsed3/SA4/314	MULTIPOLYGON (((153.01593 -27.20804, 153.01619...	773.3947	SA4
9	Capalaba	http://linked.data.gov.au/dataset/asgsed3/SA3/...	MULTIPOLYGON (((153.12472 -27.50282, 153.12466...	89.2962	SA3

Which can then just be added to the leaflet map as normal

In [16]:

w.add_gdf(brisbane_node_children)
w

w.add_gdf(brisbane_node_children) w

Out[16]:

There are other inspection like functions to assist in inspecting the graph as well.

In [153]:

w.Boundary.graph.print_tree(node,depth=1,children=True,parents=True,cousins=False)

w.Boundary.graph.print_tree(node,depth=1,children=True,parents=True,cousins=False)

Parents of Greater Brisbane:
> Queensland (1730171km2)
> Australia (7688094km2)

Children of Greater Brisbane:
> Brisbane - East (653km2)
> Brisbane - North (186km2)
> Brisbane - South (265km2)
> Brisbane - West (269km2)
> Brisbane Inner City (81km2)
> Ipswich (6681km2)
> Logan - Beaudesert (2586km2)
> Moreton Bay - North (4344km2)
> Moreton Bay - South (773km2)
> Capalaba (89km2)

In [ ]:

w.set_area("AUS")

w.set_area("AUS")

Filtering particular levels based on a parent label (e.g. LGA level is higher up the tree so the label "Queensland" appears and thus the child node is included). Let's see this in practice.

In [41]:

lgas = w.Boundary.get_lgas("Queensland")
lgas

lgas = w.Boundary.get_lgas("Queensland") lgas

Out[41]:

	label	uri	geometry	area_sqkm	level
0	Gladstone	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((151.04991 -23.43144, 151.05065...	10484.2861	LGA
1	Gold Coast	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((153.44036 -27.74045, 153.44042...	1333.3860	LGA
2	Goondiwindi	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((149.58824 -28.57381, 149.58848...	19265.7098	LGA
3	Gympie	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((153.04862 -25.83535, 153.04885...	6883.9781	LGA
4	Hinchinbrook	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((146.48544 -18.61668, 146.48604...	2807.1889	LGA
5	Hope Vale	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((145.23873 -15.44338, 145.23909...	1111.7099	LGA
6	Ipswich	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((152.87878 -27.58175, 152.87738...	1093.8562	LGA
7	Isaac	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((150.43471 -21.77199, 150.43500...	58707.9192	LGA
8	Kowanyama	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((141.59100 -15.19652, 141.58609...	2555.3325	LGA
9	Livingstone	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((150.81649 -23.51945, 150.81695...	11757.8686	LGA
10	Lockhart River	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((143.61690 -12.98513, 143.61691...	3576.6839	LGA
11	Lockyer Valley	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((152.49266 -27.55156, 152.49243...	2269.0054	LGA
12	Logan	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((153.11897 -27.59503, 153.11563...	958.1333	LGA
13	Longreach	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((143.24891 -22.84028, 143.24350...	40572.2442	LGA
14	Mackay	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((149.00466 -20.42480, 149.00656...	7613.2963	LGA
16	Mapoon	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((142.12878 -12.39173, 142.20453...	537.2366	LGA
17	Maranoa	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((147.32563 -26.40104, 147.32166...	58719.3449	LGA
18	Mareeba	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((142.52305 -16.81143, 142.52305...	53491.0502	LGA
15	McKinlay	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((141.02420 -20.48384, 141.03640...	40736.7989	LGA
19	Moreton Bay	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((153.07432 -27.00084, 153.07456...	2041.4737	LGA
20	Mornington	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((139.06136 -16.88929, 139.06019...	1247.6932	LGA
21	Mount Isa	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((137.99653 -20.22441, 137.99659...	43715.1975	LGA
22	Murweh	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((145.29360 -26.20847, 145.28284...	40699.7586	LGA
23	Napranum	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((141.84689 -12.94277, 141.87012...	2004.3468	LGA
24	Noosa	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((153.09826 -26.38141, 153.09813...	869.8657	LGA
25	North Burnett	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((150.55759 -25.15600, 150.55748...	19669.8489	LGA
26	Northern Peninsula Area	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((142.53270 -10.84306, 142.53274...	1052.0676	LGA
27	Palm Island	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((146.54305 -18.83706, 146.54266...	71.9928	LGA
28	Paroo	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((144.77983 -28.17364, 144.77504...	47614.9225	LGA
29	Pormpuraaw	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((141.62055 -14.91857, 141.62067...	4395.3654	LGA
30	Quilpie	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((142.84406 -27.10525, 142.84579...	67414.6563	LGA
31	Redland	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((153.29057 -27.53016, 153.29059...	537.1672	LGA
32	Richmond	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((142.36178 -20.56891, 142.35727...	26580.7480	LGA
33	Rockhampton	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((150.53135 -23.28778, 150.52987...	6570.2667	LGA
34	Scenic Rim	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((152.98258 -27.92411, 152.97842...	4243.0014	LGA
35	Somerset	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((152.23432 -27.21502, 152.23312...	5373.4335	LGA
36	South Burnett	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((151.12522 -26.31931, 151.12519...	8381.5580	LGA
37	Southern Downs	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((151.52366 -28.26998, 151.52420...	7106.4360	LGA
38	Sunshine Coast	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((153.06791 -26.97281, 153.06800...	2253.8522	LGA
39	Tablelands	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((145.43710 -17.30331, 145.43673...	11292.8695	LGA
40	Toowoomba	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((151.96203 -26.80464, 151.96176...	12957.2103	LGA
41	Torres	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((142.35260 -10.54642, 142.35328...	883.7402	LGA
42	Torres Strait Island	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((142.78198 -9.90153, 142.78196 ...	490.0453	LGA
43	Townsville	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((146.63250 -19.02410, 146.63248...	3730.8199	LGA
44	Weipa	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((141.92580 -12.68735, 141.92888...	10.4643	LGA
45	Western Downs	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((149.68422 -26.77370, 149.66452...	37922.5007	LGA
46	Whitsunday	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((148.87321 -20.61689, 148.87325...	23818.9729	LGA
47	Winton	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((141.93928 -21.80666, 141.74048...	53813.4826	LGA
48	Woorabinda	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((149.40277 -24.62241, 149.40778...	390.5578	LGA
49	Wujal Wujal	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((145.31582 -15.94589, 145.31226...	11.8420	LGA
50	Yarrabah	https://linked.data.gov.au/dataset/asgsed3/LGA...	MULTIPOLYGON (((145.90107 -16.99399, 145.90150...	158.8381	LGA

In [34]:

w.add_gdf(lgas)
w

w.add_gdf(lgas) w

Out[34]:

In [46]:

sa4s = w.Boundary.get_sa4("Victoria")
sa4s

sa4s = w.Boundary.get_sa4("Victoria") sa4s

Out[46]:

	label	uri	geometry	area_sqkm	level
0	Ballarat	http://linked.data.gov.au/dataset/asgsed3/SA4/201	MULTIPOLYGON (((143.89970 -37.00054, 143.89770...	10287.4757	SA4
1	Bendigo	http://linked.data.gov.au/dataset/asgsed3/SA4/202	MULTIPOLYGON (((144.29217 -37.16356, 144.32485...	11841.9058	SA4
2	Geelong	http://linked.data.gov.au/dataset/asgsed3/SA4/203	MULTIPOLYGON (((144.68579 -38.24574, 144.68628...	4428.6990	SA4
3	Hume	http://linked.data.gov.au/dataset/asgsed3/SA4/204	MULTIPOLYGON (((146.50214 -35.98317, 146.50286...	34006.4765	SA4
4	Latrobe - Gippsland	http://linked.data.gov.au/dataset/asgsed3/SA4/205	MULTIPOLYGON (((145.10992 -38.51956, 145.11017...	41553.1093	SA4
5	Melbourne - Inner	http://linked.data.gov.au/dataset/asgsed3/SA4/206	MULTIPOLYGON (((145.02062 -37.75442, 145.01886...	142.4579	SA4
6	Melbourne - Inner East	http://linked.data.gov.au/dataset/asgsed3/SA4/207	MULTIPOLYGON (((145.16229 -37.73770, 145.16226...	146.7436	SA4
7	Melbourne - Inner South	http://linked.data.gov.au/dataset/asgsed3/SA4/208	MULTIPOLYGON (((145.07352 -37.99858, 145.07368...	161.4964	SA4
8	Melbourne - North East	http://linked.data.gov.au/dataset/asgsed3/SA4/209	MULTIPOLYGON (((145.05522 -37.28651, 145.05492...	1851.2647	SA4
9	Melbourne - North West	http://linked.data.gov.au/dataset/asgsed3/SA4/210	MULTIPOLYGON (((144.95001 -37.51126, 144.94994...	1619.6884	SA4
10	Melbourne - Outer East	http://linked.data.gov.au/dataset/asgsed3/SA4/211	MULTIPOLYGON (((145.30018 -37.96573, 145.30105...	1878.5577	SA4
11	Melbourne - South East	http://linked.data.gov.au/dataset/asgsed3/SA4/212	MULTIPOLYGON (((145.37259 -38.22249, 145.37940...	1922.2794	SA4
12	Melbourne - West	http://linked.data.gov.au/dataset/asgsed3/SA4/213	MULTIPOLYGON (((144.86078 -37.77611, 144.86066...	1416.3538	SA4
13	Mornington Peninsula	http://linked.data.gov.au/dataset/asgsed3/SA4/214	MULTIPOLYGON (((144.88829 -38.50260, 144.88826...	853.7662	SA4
14	North West	http://linked.data.gov.au/dataset/asgsed3/SA4/215	MULTIPOLYGON (((142.76759 -34.57821, 142.76743...	78072.9843	SA4
15	Shepparton	http://linked.data.gov.au/dataset/asgsed3/SA4/216	MULTIPOLYGON (((146.01156 -36.00572, 146.01106...	10933.8661	SA4
16	Warrnambool and South West	http://linked.data.gov.au/dataset/asgsed3/SA4/217	MULTIPOLYGON (((142.00870 -38.41715, 142.00871...	26379.1231	SA4

In [47]:

w.add_gdf(sa4s)
w

w.add_gdf(sa4s) w

Out[47]:

One particular study you might want to do would be just the Greater Capital City Statistical Areas

In [51]:

gccs = w.Boundary.get_gccs()
gccs

gccs = w.Boundary.get_gccs() gccs

Out[51]:

	label	uri	geometry	area_sqkm	level
28	Australian Capital Territory	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((149.06239 -35.15910, 149.06152...	2358.1330	GCCSA
12	Greater Adelaide	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((138.65522 -34.55213, 138.65502...	3259.8859	GCCSA
8	Greater Brisbane	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((153.23213 -27.42089, 153.23179...	15842.0073	GCCSA
24	Greater Darwin	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((131.03248 -12.05831, 131.03443...	3167.7034	GCCSA
20	Greater Hobart	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((147.60058 -42.86784, 147.60065...	1695.3611	GCCSA
4	Greater Melbourne	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((144.88829 -38.50260, 144.88826...	9992.6081	GCCSA
16	Greater Perth	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((115.66990 -32.19610, 115.67003...	6416.5721	GCCSA
0	Greater Sydney	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((151.28159 -33.83318, 151.28167...	12368.6858	GCCSA
31	Other Territories	http://linked.data.gov.au/dataset/asgsed3/GCCS...	MULTIPOLYGON (((167.94747 -29.12757, 167.94739...	255.7420	GCCSA

In [52]:

w.add_gdf(gccs)
w

w.add_gdf(gccs) w

Out[52]: