Risk of extinction, in the context of GIS and spatial analysis, refers to the probabilistic assessment of a species' likelihood of disappearing from a defined geographic area or entirely, informed by geospatial data layers and environmental modeling. GIS technology enables analysts to integrate biodiversity records, habitat suitability indices, land cover classifications, climate projections, and population distribution data into comprehensive spatial frameworks. Using tools such as species distribution modeling (SDM), kernel density estimation, and multi-criteria overlay analysis, geospatial professionals can identify critical habitats, map connectivity corridors, and delineate areas where anthropogenic pressures — including deforestation, urban expansion, and fragmentation — elevate extinction risk. Remote sensing data further enhances these assessments by providing time-series analysis of habitat degradation at landscape and regional scales. The practical benefits of applying GIS to extinction risk analysis include evidence-based prioritization of conservation resources, more precise boundary delineation for protected areas, and improved compliance with frameworks such as the IUCN Red List criteria. Ultimately, this use case empowers conservation planners, government agencies, and environmental researchers to make spatially explicit, data-driven decisions that directly support biodiversity preservation strategies.