IGIS Tech Notes describe workflows and techniques for using geospatial science and technologies in research and extension. They are works in progress, and we welcome feedback and comments below.

It wasn't just data from maps, machines and rainfall readings that led CSIRO scientists to build Australia's most ...

Characterizing Spatial Variability of Soil Organic Carbon Through Improved Machine-Learning Modeling With In Situ Data Resampling: A Case Study in Alaska ...

Ten SSRI-resistance predicting models were finally selected by using support vector machine, and our study found that mutations in tagSNPs increased the accuracy of these models to a certain degree.

These challenges impede the effective extraction of consistent structures, undermining clustering stability and overall model performance. To address these challenges, we propose a superpixel-based ...