Designing a Smart Map of Fallujah for Spatial Analysis and Service Distribution Using a Geographic Artificial Intelligence Model C.O.D.T-32

Abstract

This research aims to visually design an innovative smart map of Fallujah using the Cloud-Ops (COD-32) artificial intelligence model to create an interactive map for spatial analysis and distribution of public services. The research focused on designing an HTML application that includes an interactive web-based map (Web GIS) using Leaflet.js technology, an OpenStreetMap, and a geographic API with a control panel and buttons to show and hide icons. This allows for the display of spatial analyses for each type of service, or all of them simultaneously, along with visual effects. The research also explored spatial analysis tools for analyzing the spatial distribution of services. (Nearest neighbor analysis, midpoint analysis, intermediate center analysis, standard distance analysis, elliptic orientation analysis, spatial campus analysis to determine service zones, and spatial allocation of neighborhoods. New service locations were proposed based on population density, distance from existing services, service gap, demand level, and prioritization of proposed locations. The research contributed to the development of an intelligent mobility system based on GPS to calculate the shortest routes using OSRM route calculation algorithms. The research demonstrated the importance of employing geographic artificial intelligence models in the spatial analysis of services as innovative point symbols, a novel approach not found in other programs, with an interactive visual design. The research relied on the visual cartographic method and the Cloud-Ops model, resulting in intelligent data analysis.)