Authors: Priyanka Verma*, Clark University, Priscilla Ahn*, Clark University, Robert Gilmore Pontius Jr., Clark University
Topics: Quantitative Methods, Land Use and Land Cover Change, Spatial Analysis & Modeling
Keywords: land change, change detection, open source software, python, GIS, confusion matrix, contingency table, cross-tabulation matrix
Session Type: Virtual Paper
Start / End Time: 3:05 PM / 4:20 PM
Room: Virtual 21
Presentation File: No File Uploaded
Cross-tabulation matrices are commonly used for accuracy assessment and map comparison. The metrics quantity, shift, and exchange can be used to measure differences in a cross-tabulation matrix. We developed an open-source python library that automates the calculations of these metrics. Researchers can now automate calculations of these metrics across large datasets as well as integrate with other statistical, analytical, visualization libraries.