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ArcMap / FUSION / RStudio / Statistical Analysis

Develop total aboveground biomass (AGB) and dominant tree height model using LiDAR data

Up-to-date forest inventories are essential for achieving sustainable forest management by providing information on forest structural attributes, species composition, and health status. The traditional method to produce forest inventories by conducting field work can be time consuming and costly. The development of LiDAR technique can support the need by characterizing forest attributes in an accurate and cost effective manner.

RStudio

NDVI time series analysis in R

The normalized difference vegetation index (NDVI) data from 2007 to 2017 for a study area in Alberta was derived from the MODIS Terra product MOD13Q1. A time series analysis was performed to study the change of NDVI across years.

ArcGIS Pro / Statistical Analysis

Using Geographically Weighted Regression (GWR) to explore the relationship between child’s language skills and variables associated with the neighborhood and child’s characteristics

Language skills of a child can be associated with a set of variables related to the neighborhood or the child’s characteristics such as social skills and physical abilities. Both GWR and GLR were performed and compared to study the relationships and predict child’s language skills across Vancouver.