Recently Published

Discussion7D
INFS Lab 4
Online Food Order Analysis
In this notebook, we will dive into an analysis of online food data sourced from a publicly available Kaggle dataset. Our objective is to explore the various factors present in the dataset and understand their influence on online ordering behavior.
What Makes Airbnb So Successful: A Quantitative Analysis on How People Choose The Costs of Airbnb’s in NYC
To learn if factors like number of reviews and the availability of the Airbnb impacts the nightly prices and whether these factors are significant to the different Airbnb prices in NYC.
Document
Taller2
Analyzing the Correlation Between Mineral Resource Distribution and Security Incidents in South Africa
In the contemporary global landscape, mineral resources are critical to technological progress and economic development. Africa, rich in essential minerals like rare earth elements and precious metals such as cobalt and tantalum, is essential in supporting various critical industries. However, these resources are extracted and managed with security challenges, including conflicts, extortion, and bribery by armed groups. These issues compromise the operational stability of mining endeavors, pose significant risks to human safety, and disrupt global supply chains. This project seeks to identify the spatial distribution of crucial mineral resources across Africa alongside the patterns of security incidents within these regions. By integrating primary geospatial datasets from the United States Geological Survey (USGS) and the Armed Conflict Location & Event Data Project (ACLED), the project aims to illuminate the interactions between mineral resource management and security dynamics. The objectives of this study include mapping the spatial distributions of critical minerals and analyzing the temporal and spatial patterns of security incidents related to mining operations. This approach is intended to aid in formulating effective policies to enhance security and resource management, ultimately contributing to the stability and efficiency of mining operations in Africa. By mapping the distribution of minerals and security incidents, identifying clusters and trends, and exploring the correlation between mineral presence and security risks, the analysis aims to offer insights for risk assessment, strategic planning, and policy development. The findings are expected to offer valuable insights and actionable recommendations for policymakers, industry stakeholders, and security planners, fostering a more secure and prosperous future for mineral resource management on the continent. This project aligns with historical and contemporary research on the nexus between mineral wealth and conflict and positions itself at the forefront of applying Spatial Data Science to address these enduring challenges.
Plot
Plot
Longbotham_C_GEOG588_Final_Project
PSU GEOG 588 Final Project Cody Longbotham For educational purposes only.
INFS Lab 3
Math 106 Lab 4