| 1.Capstone Project (Deep Learning object detection, LiDAR-derived canopy segmentation, and dashboard)
An intellectual and interactive urban forestry deep learning solution for the City of Grande Prairie (2024.04)
LiDAR-Derived Tree Point Location and Canopy Segmentation
2.Geospatial Data Analysis (exploratory regression, network analysis, spatial autocorrelation, bivariate LISA, GWR)
A StoryMap exploration of spatial heterogeneity and correlated factors of Calgary’s short-term rental abuse phenomenon (2024.02)
| Space-Time Pattern Mining
Inspect the spatiotemporal trend with 3D cubes aggregating the STR instances in each community.
| GWR Explanatory Variable Coefficient
| Bivariate Local Moran’s I Cluster and Significance Map
| GWR(Geographically Weighted Regression ) and Bivariate LISA(Local Indicators of Spatial Association)
Revealed the spatial significance and dominant tendency of 7 strong-correlated factors across the area of interest.
Pie Charts & Graduated Color Map
Graduated Color & Graduated Symbols Maps
Bivariate Graduated Symbols & Dot Density Maps
Interpolated Raster Small Multiples
Isometric Map & 3D Contour Scene
Link Map & Chord Diagram