Author Archives: zhu an lim
Final Project
Final project for the fulfilment of the Master of Science in Applied GIS Lim_Zhuan_A0224991X
Supervised ML prediction – Car Price
Using pyspark and its Machine Learning packages to predict used car prices in the UK market. https://www.kaggle.com/code/limzhuan91/predicting-used-car-prices
Land change modelling
The IDRISI Land change modeler enables the analyst to determine the changes in land cover and land use in an area. This is very useful when assessing the changes in land use such as urban development and planning. (Case study) … Continue reading
Supervised classification
The steps for a supervised classification includes Class definition > Signature development > Classification > accuracy assessment This method requires more knowledge on the study area such as the different land features, in order for the analyst to identify meaning … Continue reading
Unsupervised classification
Unsupervised classification relies on a Computer-based (automated) classification to group pixels with similar reflectance values into different classes. Advantages: No extensive prior knowledge of the region is required. Likelihood of human error is minimized. Unique classes can be identified (which may … Continue reading
Land cover analysis – Clear cut logging
Abstract Montana’s department of natural resources and conservation is interested in evaluating the status of forest in 2002, in an area southwest of Olney. I am tasked to analyse the extent of clear-cut logging within the area, as well as … Continue reading
Slope stability model – Watershed Geomorphology
Landslide Hazard Analysis Using An Infinite Slope Stability Model Approach (A Case Study – Garibaldi At Squamish Project) Abstract The provincial government of British Columbia (B.C) has recently granted an environmental approved for the Garibaldi at Squamish (GAS) ski resort … Continue reading