Figure 1. The epidemiological landscape can inform classic spatially explicit disease models. The epidemiological landscape (dark grey box; A - D with select mechanisms in white boxes defined and summarized in Table 1) consists of intrinsic attributes (A-C) and emergent interactions between the environment, hosts, and pathogens that shape host and pathogen movements (decomposed into pathogen canonical activity modes, or PCAMs; D) and locations of pathogen transmission. Information garnered from those movement trajectories can be used to inform inputs to classic spatially explicit disease models (light grey box). Conventionally, spatially explicit disease models relied on summary metrics that simply described host and pathogen locations, and did not link those locations to environmental attributes (white arrows in E). Movement ecologists are developing environmentally informed metrics (dark grey arrows in E; Table 2) that could be used to adapt the classic modeling structures to changing environmental contexts, bringing the epidemiological landscape framework to full reality. ƛi is the per capita rate of infection at location i and Yj is the density of infected hosts at location j.