# ITLS 6107作业代做、代写Data Analytics作业、代写R课程设计作业、R编程语言作业调试代写R语言程序|代做Java程序

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: 地理信息处理的理论知识，ArcGi 的使用，数据可视化的指导，Kernel Density,
Network 等
1.2 Software & Coding
Software: ArcGis, Qgis, Tableau
Coding: R (R studio), SQL
1.3 Course Structure
a) Individual Assignment I: 熟练 ArcGis 操作,了解 project coordinate system，dataset
relationship；以 Feedback 的形式，提高数据可视化
b) Individual Assignment II: 通过地理数据的处理，从多角度（如 transport，studying
facility 等）出发, 改善校园环境；考察 Kernel Density
c) Group Assignment:根据某家公司的销售数据、地理位置信息，提出 Marketing 和
Supply chain 方面的改善意见；考察 Network
d) Final Exam: 理论知识 + 操作；考察对小组作业的参与程度，对数据处理的熟练

1.4 General Tips
a) 创建 Geodatabase：
i. ArcGis 里的文件夹，存储 map 里所有的信息，
ii. 每张 Map，对应一个 Geodatabase，方便以后查看
iii. Set as default
b) 保存：保存在个人硬盘，操作时常保存，以免文件丢失
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. 地点和路线都需使用常见标志，如机场： ，铁路线；
ii. 都不可以用 3D icon；
iii. 颜色使用要符合 common sense，如公园用绿色，而不用红色
b) Insert Map 可简洁，只保留 basic map（如果底图颜色有问题，用设置 dpi >96
(eg 300) for image ）
c) Scale: 不可以 random 比例尺，第一张可考虑 500m
d) 额外标示，突出自己家的位置
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)
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 (由于两年的 records 不同，选取周

ii. Field Calculation: 计算 percentage or absolute change 后，将变化量里通过
property 里的 symbology 来展示；Single map
b) Mode of JTW: mode of Journey to Work (JTW)
i. Classify 16 modes: 可分为如公交车、轨道交通、轮渡、出租车几个大类，或者

ii. 计算占比率: 有些值是 0，没法直接相除。建议： 分子分母同时+1，或者只计

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. 在 home 的 SA3 layer 上，select by location，选择距离 50km，选出离家距离
50km 的 SA3
ii. 根据“mixuseind”排序，选择最高或最底的 sa3，两者选其一，与家所在 sa3 上对

b) Land use percentage
i. LZN layer (Land Zoning 里 lay_class 列表示 land use 的种类，如 public recreation，
neighborhood center 等)
ii. Area: Calculate geometry: projected coordinate system (操作见 canvas), 改为 GDA
1994 Australia Albers, unit 改为 square kilometers
iii. 注意 Area 的 datatype，设置为 Float 或 Double
iv. Dissolve: Aggregate features based on specified attributes 计算 percentage
v. Symbology 中选择 color for categorical variables （not order/scale）
c) 展示出家所在 SA3 和选择的 SA3 地理位置的关系
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) 使用 SA3 Map
b) Use insert map to show the top 20
c) 显示完整 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) 从”SYD_Cultural Features”中”Type”选择 post office,创建 layer
b) 在每个 post office 建立 2km 的 buffer
c) GNFA: contains all physical addresses in Australia. Spatial Join with post office layer

d) 展示完整
2.6 Common Mistakes
a) 每张图必带 North Arrow, Legend 和 Scale
b) 坚决不用散点图
c) Random Layer, Field/Alias, Breaks, Scale 等 --- map 里显示的每个数值、文字都要

Random Break:
Random Scale:

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