Methode zur Analyse von raumrelevanten Prozessen in Entwicklungsländern : : Das Beispiel des Küstenraums von Benin / / Sèmadégbé Oscar Teka.

• VerfasserIn: Teka, Sèmadégbé Oscar,
• Place / Publishing House: Karlsruhe : : Karlsruher Institut für Technologie (KIT),, 2011.
• Year of Publication: 2011
• Language: German
• Physical Description: 1 online resource (288 pages)
• Other title: Methode zur Analyse von raumrelevanten Prozessen in Entwicklungsländern
• ISBN: 1000024383
• Hierarchical level: Monograph
• Statement of Responsibility: Sèmadégbé Oscar Teka.

In developing countries there is a lack of space-oriented data. This complicates the implementation of different measures in existing social, economical and ecological systems and also restricts the estimation of future risks. Since systematic and periodical surveys in the sense of a census concept are mostly unrealistic, a method is needed to produce sufficiently adequate estimations of processes by random samples and indicators.This case study aims at developing a method on the basis of the combination of the representative samples and the indicator-based approaches for analyzing space relevant socioeconomic and ecological processes in Benin. In total we identified three main processes in the coastal area of Benin: the migration into coastal zone, the environment changes (land use, climate change and natural risks) and the vulnerability of local residents.Method consisted to two types of surveys: the interrogation of responsible persons in public office (32 semi-structured interviews) and of the population groups (667 structured interviews). These groups were distinguished according to ethnicity, gender, age as well as location of the dwelling place (rural or urban zone). In total, 262 women and 405 men belonging to the ethnic groups Fon, Yoruba, Houedah, Xla, Toffinou, Wéménou and Gun were interviewed. Members of each ethnic group were grouped according to sex (men and women), marital status and age (young adults, adults and elderly persons).For the data analysis, we used the log (x+1), the analysis variance using 4 factors, the Principal Component Analysis (PCA), the Factor Analysis (AFC) and Log-linear analysis.