As climate change accelerates, complex socio-ecological systems transform and governments must adopt novel response approaches. Using a coastalscape case study in Southern Tasmania, I contribute methodological advances for local climate responses. I address three research questions: (1) Which methods effectively map spatial patterns of community values and perceived risks? (2) Which methods identify climate and landscape discourses? (3) How can novel combinations of methods address knowledge gaps for better place-based climate adaptation? My thesis innovates on Public Participation GIS (PPGIS) and Q-methodology, showing how their combination (Q+PPGIS) reveals spatial and conceptual discourses in coastalscapes. A systematic literature review highlights the use of Q+PPGIS, finding limited integration in adaptation decision-making. I then apply these methods to the Huon Valley coastalscape, advancing new approaches to ensure they are fit for purpose to local governments, particularly through online survey methods. PPGIS analysis maps landscape values and climate risks with local residents, finding correlations between mapped values, risks, and physical assets. Q-methodology identifies five climate risk discourses and four landscape value factors, revealing differences in responsibility, adaptation priorities, and community resilience. The integrated Q+PPGIS approach delineates spatial regions in based on Q-derived factors, comparing these with PPGIS data to highlight land-use planning challenges. My thesis presents novel applications of PPGIS and Q-methodology, making them suitable for local climate adaptation planning. It provides guidance for adopting Q+PPGIS and ensuring data reliability in online surveys. The Q+PPGIS methods operationalise community-based mapping and risk-value discourses as decision-making tools, enhancing local adaptation planning by mapping relationships between landscape values, spatial perceptions of risk, and their conceptual correlates.