Geob 270 Accomplishment Statements: Lab 4 & 5

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Lab 4

Manipulated Visual Outcomes of housing affordability by using various data classification methods to show the ethical implications of each data classification methods in maps.

Lab 5

Acquired, examined and analysed data to conduct an environmental impact assessment within the proposed ski hill area to determine the severity of impact that the ski resort project would have on that area.

 

Geob 270-Lab 5: Environmental Assessment

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Memo: Environmental Assessment of Garibaldi at Squamish Project

The Garilbaldi year-round mountain resort is set to be constructed in Garibaldi at Squamish. As a resource planner, I have created an environmental impact assessment to provide information on potential effects on vegetation and fish and wildlife habitat, and provide a series of recommendations to prevent or reduce any significant environmental, social, economic, heritage and health effects in proposed project area.

Firstly, I assessed the elevation in which the actual snow cover would be available to the ski resort, where areas below 600m would not potentially have enough snow to support the Ski Resort. In my results, 32% of the land were under 600m in elevation which meant that 68% of the project area elevation were above 600m. Therefore, it was economically viable for the proposed Garibaldi Ski Resort to be constructed and operated.

Next, I accessed the sustainability and the environmental risk of the Garibaldi Ski Resort. I had to examine the data where all the ecosystem species that existed in the project boundary area, the TEM (terrestrial ecosystem mapping), Old growth forest, ungulate habitats, red-listed species and fish bearing streams; which I created a map that would identify and locate the protected areas and at risk of the Ski Resort. These were the resulting area percentages of total project area that would be impacted by the construction of the Ski Resort:

  • 8% of old growth forest
  • 9% of ungulate habitats
  • 8% of red-listed species
  • 4% of fish bearing/ riparian areas around streams

Adding up together, these percentages sum up a total wildlife area of 67.9%. However, the total project protected area is 53.7% which is smaller than the total wildlife area of 67.9%. Hence, this meant that the protected area are not large enough to ensure the safety of all the ecosystem in the proposed project total area. This shows an environmental risk in which the surrounding ecosystem that are not part of the proposed project area might be negatively affected and potential environmental damage.

The two greatest environmental concerns are: 1) the unpredictable impacts that the project could potentially damage the environment, as the total wildlife area is more than half of the project area hence causing more harm to that area then benefits. 2) The loss of old growth forest will drive some species to extinction as some species may only thrive in old growth forest conditions, and removal of tree/vegetation support may increase the risk of landslides hence more cost would need to be allocated to landslide mitigation measures. The best way to mitigate all environmental impacts which is to not construct the resort in the project area and to just leave current environment as it is, that way, there will be no damage to endangered species, fish bearing areas, ungulate habitats and old growth forests.

Personal Take on the Garibaldi at Squamish Project proposal

When working on environmental projects, sometimes an individual has to become involved in proposals that they do not ethically believe in. I think the project should not be allowed to continue because of the evident data showing that the ecosystems are potentially at risk to environmental due to impacts that the project may caused. I have voiced these concerns in my memo as well.

Hillshade of Garilbaldi at Squamish


 

 

 

 

 

 

 

Garibaldi at Squamish Environmental Assessment

Geob 270-Lab 4: Housing Affordability

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In this lab, I learned how to create a Housing Affordability Map  to compare Vancouver and Ottawa.

Quantitative Data Classification 

Vancouver Housing Cost: Continuous Data Classification Methods

Here I was given a question on which classification method would I choose and why if I were a Journalist or a Real Estate agent. As a Journalist, I would choose Manual Breaks classification method because it helps visualize which areas are the most and least expensive in terms of cost classification or break values that are round, even and is easily understandable by the general audience. As a real estate agent, I would choose the equal interval classification method because it helps visualize that the cost of housing is even across Vancouver with only a few dark tracts. Which helps prospective home buyers think that they are getting a good deal especially in the UBC neighborhood as it is known for its good location and reputation. The ethical implications is that any group or individual can use any classification method that showcases to their audience on what they want them to see in a way that suit their motives. In the case of the real estate agent, the buyer does not visually see how much UBC properties deviate from the standard, as these properties are more expensive than most of Vancouver.


Housing Affordability

Housing Affordability: Ottawa and Vancouver

Affordability measures the ratio of median income to housing costs, which is a better indicator of housing affordability than housing cost alone because it factors into account the ability of the buyer to purchase a home of a certain with their given income.

The 11th Annual Demographia International Housing Affordability Survey determined the following housing affordability ratings as: 3.0 and under as Affordable, 3.1 to 4.0 as Moderately Unaffordable, 4.1 to 5.0 as Seriously Unaffordable and 5.1 & over as Severely Unaffordable. The purpose of this ratings is to monitor the rates of affordability and to alert policy makers regarding the decreasing of affordability in cities. This rating system can be trusted  as it covers 378 metropolitan markets in nine countries and it is recommended by the United Nations and major World Banks for assessing affordability.

Affordability is not a good indicator of a city’s livability because it does not factor in employment availability, poverty rates, and access to quality healthcare and education. In order to determine the livability of a city, these factors as well as others must be included with housing affordability so proper livability assessment can be made.