Issho-ni Research Paper
Contents
Yishun Land Change Detection (2008 & 2014)
Yishun Boundary Change
From the map view above, we can see that Yishun's boundary has diminished a little, where the land has receded from the northeast direction. The subzones affected are namely Northland, Yishun East and Lower Seletar.
Yishun 2008 & 2014 Land Use
Besides the land reduction leading to Yishun's differing boundary, the land use in the planning area has also changed. Here, we will highlight the major changes observed.
- The area to the left of Lower Seletar Reservoir (Yishun's prominent waterbody) has became a reserve site from previous use for sports & recreation
- Southwest of Yishun, there is a road extension that joins two existing roads
- Further down the aforementioned road, a portion of land that used to be reserved is now accommodating for commercial and residential usage
GIF Animation Depicting Land Use Changes
Demographics of Yishun (Population)
Demographic Segmentation
The population is divided into 3 groups:
- Young (0 - 24 years old)
- Economic Active (25 - 64 years old)
- Aged (65 and above)
Population Change for the Segments
We have obtained the census/household data from SingStat to analyse the population change between 2008 and 2014 for each target segment identified above. Due to unavailability of the desired information (data for 2008 and 2014), we have used the Basic Demographic Characteristics data for year 2010 and 2015 respectively, which closely follows the timeframe in study.
From the downloaded Excel sheets, we have extracted information relevant to our analysis (i.e. Yishun's population) and cleaned up the data necessarily before saving into separate CSV files ready to be used in QGIS as attribute tables. For instance, the data from 2010 did not include Nee Soon as part of the subzones of Yishun's population data unlike the one from 2015. Upon further scrutiny, we realised it was SingStat's decision to omit planning areas/subzones with small number of persons, and that Nee Soon did exist at the year of 2010. Hence, we added in Nee Soon in our 2010 CSV file but with 0's imputed for the population.
Further preprocessing and data manipulation is then conducted in another CSV file, where we combined information from both 2010 and 2015 to study the population change. First, we created three new columns to store the aggregated population for each group, once for each year. Subsequently, the change (headcount) can be calculated by computing the difference between 2015 and 2010. The percentage change is then obtained by dividing the change in headcount with 2010's base population, also in headcount.
For each map view below, the number of classes/bins have been carefully selected to include the minimum and maximum value (i.e. range). Similarly, the intervals are chosen to be equal with careful choice of split so that the patterns can be evidently shown to map readers in a clear manner.
Population Change (Young)
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Population Change (Economic Active)
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Population Change (Aged)
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Land Suitability Modelling
Conclusion & Analysis
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