Welcome to Zhanglong's Space

Statistics, Agricultural Data Analytics, and Research in Spatial Statistics

🎓 New Beginnings at EECMS: Lecturer in Statistics

This week marks an exciting new chapter in my academic career — I’ve joined the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University as a Lecturer.

EECMS Curtin Lecturer

OZWeatherApp: AI-Powered Australian Weather & Climate Insights

🌦️ OZWeatherApp

weatherOz Shiny AI

Launching Stats Journey – A Statistics Learning Platform

Introducing Stats Journey, an interactive learning platform for statistics and data science education built with modern web technologies.
interactive-learning statistics web-development

Proving the Superiority of Systematic Designs in On-Farm Trials

Presentation at AAGI Annual Science Symposium on systematic design superiority in on-farm agricultural trials.
systematic-design on-farm-trials agricultural-statistics

Lsd function for asreml model

Presentation at AASC 2024

This is the presentation that I gave on 4th September at AASC 2024 Rottnest Island.

Case Studies in Advanced Analysis of Large Strip On-farm Experiments

Abstract: On-farm experiments (OFE) are gaining attention among farmers and agronomists for testing various research questions on real farms. The Analytics for the Australian Grains Industry (AAGI) has developed several techniques for analysing OFE data. Geographically Weighted Regression (GWR) and the multi-environment trial (MET) technique, which partitions paddocks into pseudo-environments (PEs), have proven effective. Additionally, we have explored the potential of the Generalised Additive Model (GAM) for handling temporal and spatial variability, given its flexibility in accommodating non-linear variables. In this presentation, we will demonstrate case studies using these techniques to analyse OFE data and compare the outcomes of different approaches.

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