GEOG 181-Lab 5 (1)
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School
University of Waterloo *
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Course
181
Subject
Geography
Date
Dec 6, 2023
Type
Pages
5
Uploaded by CaptainBoulderMouse32
Likhitha Tananki ~ 21012570
Sunday, October 22 2023
Geog 181
GEOG 181-Lab 5
1.
Create the following choropleth maps. Export them as PNG files and insert them
into your assignment document. Also for each map, include a short discussion
related to your rationale for choosing the colour scheme (i.e. is it qualitative,
sequential, or diverging) and classification method (i.e.: equal interval, quantile,
natural breaks, etc).
a.
Percentage of population that is 65 and over for each census subdivision in
the Toronto Census Metropolitan Area (CMA) (10 marks).
I opted for a sequential colour scheme for this map. I believe it presents the data most
effectively as it darkens the colours in proportion to the greater population in an area, offering
enhanced data visualization compared to alternative colour schemes. I applied the equal
interval classification method, dividing the data into 5 distinct categories. This approach ensures
that the data is segmented into more meaningful and accurate categories.
b.
Percent change of population from 2006 to 2016 for Canadian census
divisions. (10 marks)
I opted for a sequential colour theme to illustrate the population change, with the colour green
being my choice. Green is commonly associated with land masses, and its varying shades
make it easy to discern differences. Selecting an appropriate classification method for this map
posed a slight challenge due to the numerous areas involved, but I found that the equal interval
classification method remained the most accurate representation of the data.
c.
Median total income of households of Kitchener-Waterloo-Cambridge CMA
census tracts (10 marks)
I opted for a sequential colour scheme for this map as it effectively conveys the data by
representing an increase in data with a darkening of colours. This makes the map easily
interpretable, as most individuals intuitively understand that darkening colours indicate an
increase. I once again utilized the equal interval classification method because of its ability to
delineate the data into distinct categories most evenly.
2.
Create
3
choropleth
maps
based
on
a
variable
from
the
Canadian
census
divisions. Remember that choropleth maps should map rates or ratios, not counts
or totals. Use the Atlas functionality from the tutorial to automate their generation
and export each image as a PNG at 300 dpi. For each map briefly explain the
spatial patterns present. (10 marks for Map Design, 6 marks (2 marks/map) for
spatial pattern present)
New Brunswick
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The spatial patterns in this map show that the majority of people over 85 in New
Brunswick live near the crowded cities. Fredericton has a very low number of people over 85 but
is a very busy city with a lot of action and noise. The division that has the most people that are
over 85 is spread out throughout the province.
Ontario
The spatial patterns in this map show that the majority of people over 85 in Ontario live
near the crowded cities. Toronto has a much higher number of people over 85 but is a very busy
city with a lot of action and noise. The division that has the most people that are over 85 is
towards the south. In addition, we can see that there is a minimal number of people 85 and
older living in the northern, colder and rural parts of Ontario.
British Columbia
The spatial patterns in this map show that the majority of people over 85 in British
Colombia live near the crowded cities. Vancouver has a much higher number of people over 85
but is a very busy city with a lot of action and noise. The division that has the most people that
are over 85 is towards the south. In addition, we can see that there is a minimal number of
people 85 and older living in the northern, colder and rural parts of British Colombia.
3.
Automating tasks in GIS is a precious tool. Aside from Map Generation, list two
other tasks where automation would be helpful in GIS (hint, think about file
management, and some of the tools used in GIS). (2 marks).
Automation could prove beneficial in the process of field joining. When we were acquiring the
skills necessary for field joining and had to determine which attributes matched the shape files,
having the ability to automatically pair the appropriate file with the selected shape file would
have been advantageous. Automation could also offer advantages in the creation of maps
featuring
various attributes within the same geographical region. It would be capable of
autonomously filtering the maps to include only specific areas.