ADS Capstone Chronicles Revised

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4.3.4 Spatial Analysis Designed for geospatial analysis, another exploratory data analysis is extracting geolocation information in WKT format, converts it into Polygon objects using the shapely library, and prepares the data for spatial analysis. These geometries enable mapping affected areas, assessing damage, and supporting disaster response planning. The plot reveals that the polygon points for the post-disaster data may not be suitable for training the model, as they are identical to those for the pre-disaster data. This

indicates minimal impact on the property structure's latitude and longitude following the hurricane, suggesting that flooding or wind caused negligible structural displacement. Additionally, the plot seen in Figure 4 illustrates a spatial distribution of data points defined by the latitude and longitude coordinates. The denser clustering points in certain areas that highlight regions of concentration or otherwise more severe due to the higher impact zones. This visualization provides a crucial tool for analysis of the geospatial patterns and identifying areas that require closer inspection or immediate response.

Figure 4 Pre and Post Hurricane Polygon Shape Plot

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