Visualizing land use change : the most frequently occurring correlations between land use change and demographic factors

Author(s): Savchenko, G. (2021)

Abstract:
In collaboration with a parallel research developing weakly supervised Siamese Neural Networks for land use change detection, this project develops a number of exploratory interactive data visualizations with the aim of answering the following question: What are the most frequently occurring correlations between land use change and demographic factors? Change detection maps will be filtered and analyzed inside geospatial analysis tools like ArcGIS, and final results will attempt to show how, for example, population size correlates with the distribution and size of detected change. Finally, the graphs will be published on a webpage for the general public and policymakers, the main target group of this project.

Document(s):

FInal.pdf