Exploratory Spatial Data Analysis

Exploratory Spatial Data Analysis (ESDA) is a method used to understand spatial patterns and relationships in geographic data. It involves visually examining maps and graphs to identify trends, clusters, and anomalies in the data without preconceived hypotheses. For example, ESDA can reveal how certain phenomena, like pollution or crime rates, vary across different neighborhoods. By using techniques such as visualization, statistics, and spatial relationships, ESDA helps researchers and policymakers make informed decisions based on the underlying spatial structures of the data.