Information Visualization

18CSE301J



Soham Ghosh               RA2011003010504




Introduction


The Global Landslide Catalog (GLC) is developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impacts or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center. This is a unique data set with the ID tag “GLC” in the landslide editor.




Why use this dataset?


The primary motivations for using this data-set is to approximate the spatial and temporal trends in landslide occurrences on the global scale and to use the data to evaluate a preliminary global landslide hazard algorithm. The catalog compiled for our study includes all landslide events that are clearly triggered by rainfall conditions. The catalog considers considers all types of mass movements triggered by rainfall (from shallow debris flows to deep seated complex rotational slides), which have been reported in the media, disaster databases, scientific reports, or other sources.


My Contribution


I have tried to visualize the dataset in multiple ways. I have used the following tools to visualize my data:


Tableau                    Python


Gephi                    D3