-This report was completed for the City Planning 255 Final Project- Introduction In California, which is located on the tectonically and volcanically active Pacific Ring of Fire, millions of people are unaware of the immense natural forces in the area. Large, active faults cut across the state from Mexico to Mendocino and are gradually slipping until the next Big One. In […]
-This project was completed for Exercise 10: Python Mapping- Overview I made the maps in this post using the GeoPandas and matplotlib libraries for python. I used location data from all M 4.5 and greater earthquakes from the past month from the USGS. 1. Local US Earthquake Map As the my focus of my final project will be on California, I wanted […]
-This project was completed for Exercise 9: Web Mapping- Overview I used this project to create a personally-useful map of places I have done field work. This map pinpoints the various filed areas I worked during my undergraduate career and gives some pop-up data on the Berkeley Earth and Planetary Science course and what was studied at each site. Since Geologic field work […]
-This project was completed for Exercise 6: APIs- Overview For this project, I selected tweets around the UC Berkeley campus and then plotted them in CartoDB to visualize the spatial relationship between the different activities Berkeley Tweeters were engaged in. On a given Sunday afternoon during the semester, during midterms and football season, people tweeting about school were spread across the city of Berkeley–with only […]
–This project was completed for Exercise 2: WordPress post with CartoDB– Goals: My goal with this project was to use maps created with CartoDB to inform the UC Berkeley campus community of the possible routes of entry onto the Berkeley campus through surreptitious means. The primary motivation for this particular study is to provide for the security of the Stanford […]
City Planning 255, Urban Informatics and Visualization. Coming from an Earth Science perspective, I would like to learn to use spatial data tools to better visualize and solve problems in Earth Science, both in urban and human environments, and in planetary environments in general.