Remediation of unexploded ordnance (UXO) and prioritization of excavation procedures for archaeological artifacts using electromagnetic (EM) induction are studied in this dissertation. Lowering of the false alarm rates that require excavation and artifact excavation prioritization can reduce the costs associated with unnecessary procedures. Data were taken over 5 areas at the San Jacinto Battleground near Houston, Texas, using an EM-63 metal detection instrument. The areas were selected using the archaeological concepts of cultural and natural formation processes applied to what is thought to be areas that were involved in the 1836 Battle of San Jacinto. Innovative use of a Statistical Point Pattern Analysis (PPA) is employed to identify clustering of EM anomalies. The K-function uses point {x,y} data to look for possible clusters in relation to other points in the data set. The clusters once identified using K-function will be further examined for classification and prioritization using the Weighted K-function. The Weighted K-function uses a third variable such as millivolt values or time decay to aid in segregation and prioritization of anomalies present. Once the anomalies of interest are identified, their locations are determined using the Gi-Statistics Technique. The Gi*-Statistic uses the individual Cartesian{x, y} points as origin locations to establish a range of distances to other cluster points in the data set. The segregation and location of anomalies supplied by this analysis will have several benefits. Prioritization of excavations will narrow down what areas should be excavated first. Anomalies of interest can be located to guide excavation procedures within the areas surveyed. Knowing what anomalies are of greater importance than others will help to lower false alarm rates for UXO remediation or for archaeological artifact selection. Knowing significant anomaly location will reduce the number of excavations which will subsequently save time and money. The procedures and analyses presented here are an interdisciplinary compilation of geophysics, archaeology and statistical analysis brought together for the first time to examine problems associated with UXO remediation as well as archaeological artifact selection at historic battlegrounds using electromagnetic data.

This study examines how various game features in PlayerUnknown's Battlegrounds (PUBG Corporation, 2017), such as map terrain, resources, safe zone mechanics, teamwork, combat, and weaponry, influence player behavior by promoting aggressive and non-aggressive strategies. By analyzing player decisions across different game phases, the research highlights the need for a sophisticated understanding of game mechanics and acknowledges the impact of environmental elements and player skill levels on strategic adjustments. The game has had a huge impact on industry trends and gaming culture since its 2017 debut thanks to its enormous success. Many people may not have noticed that some system mechanisms in the battle royal game PUBG will subtly create aggressive and non-aggressive strategies, and players will alternate between these two strategies in the game. This is a survival game that is not just about fighting. Are these types of games currently promoting players to be aggressive too much? A deeper understanding of the relationship between aggressive and non-aggressive strategies and game systems will allow developers to create more balanced system mechanisms and help players further understand how to choose more appropriate strategies in different situations. Players can improve their gameplay and strategy by using this insight. This study focuses on players who have engaged with PUBG within the last six months, collecting their strategies and opinions on the game system through surveys, video recordings, and narrative accounts. After analyzing these data sources, we integrate the results to draw meaningful conclusions about how PUBG's gameplay systems promote both aggressive and non-aggressive player strategies.