Methode zur Analyse von raumrelevanten Prozessen in Entwicklungsländern

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In developing countries, the lack of space-oriented data complicates the implementation of measures in social, economic, and ecological systems, hindering future risk estimations. This case study focuses on creating a method that combines representative samples and indicator-based approaches to analyze relevant socioeconomic and ecological processes in Benin. It identifies three main processes in the coastal area: migration, environmental changes (land use, climate change, and natural risks), and local residents' vulnerability. The study involved two survey types: 32 semi-structured interviews with public officials and 667 structured interviews with diverse population groups, categorized by ethnicity, gender, age, and urban or rural residence. A total of 262 women and 405 men from various ethnic groups were interviewed. Data analysis utilized log transformations, variance analysis, Principal Component Analysis (PCA), Factor Analysis (AFC), and Log-linear analysis to assess spatial variability in vulnerability. Key findings include high population density due to migration, relationships between ethnicity and occupation, significant environmental issues, and increased vulnerability among coastal inhabitants. The study highlights the need for participative coastal zone management that considers local reasoning, differing from public administration perspectives. The methodology developed is applicable to other regions facing simil