Utilizing Graph Theory for Ecological Planning: Enhancing Connectivity of Urban Green Spaces in Bhopal, Madhya Pradesh, India

Graph theory and network analysis are efficient to explore landscape connectivity. Graph theory approach using in urban planning to facilities the municipal service in the urban landscape. The municipal service is an important and proper functional movement in the urban landscape. In this paper, the use of graph-theoretic approaches is operational within the urban landscape assessment, planning, and design. Urban landscape for proper planning and design of urban land without disturbance of an ecosystem. The connectivity is important to exchange their genetic material for the proper functioning of the ecosystem in the urban landscape. In particular, the network model uses to evaluate the contribution of landscape elements to uphold the connectivity. The importance of spatially and geographically area representation the network in urban & regional planning and design is stressed. The study moves the better connectivity of urban green space for the functional ecosystem. Graph theory approach identifies the Intra connectivity(IC), Betweeness centrality (BC), connector, a number of links (NL), Harry Index (HI), landscape coincide Probability (LCP), and integral index connectivity (IIC) in the urban landscape for systematic planning and order to increase the efficiency of monitoring and sustainable urban development. Using a graph theory approach for patch connectivity with integral index connectivity (IIC). Here threshold distance for connectivity is 2m, 20m, 44m, and 100m. Connectivity of urban green space for dispersal of species for one patch to the rest of other patches slightly increases and identifies the prioritize patches for ecological improvement. This paper Examine the protecting ecosystem and sustainable urban development and planning in the future prospectus