ITLS 6107 Applied GIS and Spatial
Data Analytics
Introduction & Assignment 1
1 Introduction
1.1 Outline
Geographic Information Systems (GIS): Taking this spatial context into account transforms
analyses, problem solving and provides a powerful method of visualising the world.
Content: ，ArcGi ，，Kernel Density,
Network
1.2 Software & Coding
Software: ArcGis, Qgis, Tableau
Coding: R (R studio), SQL
1.3 Course Structure
a) Individual Assignment I: ArcGis , project coordinate system，dataset
relationship； Feedback ，
b) Individual Assignment II: ，（ transport，studying
facility ）, ； Kernel Density
c) Group Assignment:、， Marketing
Supply chain ； Network
d) Final Exam: + ；，
1.4 General Tips
a) Geodatabase：
i. ArcGis ， map ，
ii. Map， Geodatabase，
iii. Set as default
b) ：，，
2 Assignment 1
2.1 Map 1
2.1.1 Instruction
Create a map of the neighbourhood around your home (within 2- 3kilometres) that clearly
identifies your house, nearby bus stops, train lines/stations (if any) and all the major features.
Label important features as appropriate
2.1.2 Recaps
Show neighbourhood around your home with all the major features (transport, supermarkets,
park, hospital etc)
2.1.3 Hints
a) Legend
i. ，： ，；
ii. 3D icon；
iii. common sense，，
b) Insert Map ， basic map（， dpi >96
(eg 300) for image ）
c) Scale: random ， 500m
d) ，
2.2 Map 2
2.2.1 Instruction
Using the map around your home from before (should be around 10-20 SA1 districts
dependent on where you live) create a thematic map using appropriate themes, which shows
the following:
• Change in SA1 working population between 2011 and 2016
• How worker travel to work (i.e., percent of workers travelling to work by
different transport modes to total number of workers in each SA1)
• Add necessary labels, legends etc. to improve your map.
2.2.2 Recap
Show mode share of JTW and change in working population around your neighbourhood
2.2.3 Hints
a) Working population change: （full time + part time）
i. Join 2011 + 2016: Tabular join or Spatial Join ( records ，
10-20 SA1 spatial join )
ii. Field Calculation: percentage or absolute change ，
property symbology ；Single map
b) Mode of JTW: mode of Journey to Work (JTW)
i. Classify 16 modes: 、、、，
、，
ii. : 0，。： +1，
value 0（Select by Attributes）
2.3 Map 3
2.3.1 Instruction
Mixed land use is widely recognised as one of the factors that can promote liveability and
sustainable choices. A mix land use index (mixuseind) has been created to represent the
degree of mixed land use in each SA3 in Sydney. This index is bounded between 0 and 1,
with a higher value indicating a better mix.
- Using the misuseind in the SA3_mix_landuse_index feature, identify the SA3 that has the
best/worst mix of land use within 50km of your home.
- Compare how land is used in your home SA3 with the best/worst SA3 you identified above.
You only need to compare with either the best or the worst SA3, not both.
- You should show your analysis results on one map which should have titles, labels, legends
etc.
- You should show on your map the top 5 land use categories for each SA3 based on
percentage of area.
2.3.2 Recap
Compare how land is used in your home SA3 with the best / worst SA3 within its 50 km.
2.3.3 Hints
a) Choose SA3
i. home SA3 layer ，select by location， 50km，
50km SA3
ii. “mixuseind”， sa3，， sa3
。， SA3， SA3
b) Land use percentage
i. LZN layer (Land Zoning lay_class land use ， public recreation，
neighborhood center )
ii. Area: Calculate geometry: projected coordinate system ( canvas), GDA
1994 Australia Albers, unit square kilometers
iii. Area datatype， Float Double
iv. Dissolve: Aggregate features based on specified attributes percentage
v. Symbology color for categorical variables （not order/scale）
c) SA3 SA3
2.4 Map 4
2.4.1 Instruction
– Use the provided train stations and patronage data to determine and show the number of
services and train patronage per SA3 on a typical Tuesday. You must also show the top 20
busiest train stations between 7:30 and 8:30 AM across Sydney.
– Ensure you label your map appropriately.
2.4.2 Recap
Show number of services and train patronage per SA3 on a typical Tuesday, plus the top 20
busiest train stations in AM-peak
2.4.3 Hints
a) SA3 Map
b) Use insert map to show the top 20
c) Show all SA3s
2.5 Map 5
2.5.1 Instruction
– Australian Post strategically locates their offices to maximise the number of people they
serve (i.e., market size). Create a map showing the number of addresses within 2000 metres
of each post office.
2.5.2 Recap
Show number of addresses within a 2km catchment of each Australian Post Office
2.5.3 Hints
a) ”SYD_Cultural Features””Type” post office, layer
b) post office 2km buffer
c) GNFA: contains all physical addresses in Australia. Spatial Join with post office layer
number of addresses
d)
2.6 Common Mistakes
a) North Arrow, Legend Scale
b)
c) Random Layer, Field/Alias, Breaks, Scale --- map 、
Random Break:
Random Scale: