Contributors: Annie Adams, Mariam Garcia, Vanessa Salgado, Hazel Vaquero
For this project we explored Folium, a Python library that that combines data wrangling potential in Python and the mapping strengths of the Leaflet.js library. We used Folium to explore data vizualizations using Jupyter Notebooks. Folium was developed in order to enable easy data visualization with geospatial analysis. It helps make interactive geographic visualizations that can be shared as a website. Folium helps transform data in pandas into interactive Leaflet maps.
This is a description and tutorial of the package Folium created as a group project for EDS 217.
https://data.cityofnewyork.us/Environment/2018-Central-Park-Squirrel-Census-Squirrel-Data/vfnx-vebw
This dataset was used to make a heatmap, and we narrowed the focus point to only be in California, as the data panned out to neighboring states. Each earthquake has their own unique 'Object ID', along with the coordinates in which the epicenter was found, and the magnitude.
“CGS Map Sheet 48: Historic Earthquakes, 1769 to 2015 - California (Magnitude 5.0-Plus).” California Open Data, 11 Sept. 2023, data.ca.gov/dataset/cgs-map-sheet-48-historic-earthquakes-1769-to-2015-california-magnitude-5-0-plus.
“Folium.” Folium - Folium 0.1.Dev1+g57e8eae Documentation, python-visualization.github.io/folium/latest/index.html.
Weir, Domino. “NYC Squirrel Census 2018.” Kaggle, 29 Aug. 2022, www.kaggle.com/datasets/dominoweir/nyc-2018-squirrel-census. Accessed 14 Sept. 2023.
Wells, Ryan. “Plotting Geographical Heatmaps with Python Folium.” Wellsr.Com, 19 Aug. 2022, wellsr.com/python/plotting-geographical-heatmaps-with-python-folium-module/.