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This paper provides a statistical evaluation of the methodology of the NSF funded Six Cities Project. The project develops a methodology for surveying densely inhabited areas by processing diachronic remote sensing imagery to create habitation strata or urban classes. These classes become part of a sampling strategy which gives every pixel associated with habitation a specified chance of selection and then draws a representative sample of pixels. These pixels become center points for household surveys which can study a variety of issues including health, environment, livelihood strategies, demographics and household labor, expenditures and income. The methodology lends itself to GIS construction and the generation of data that can be easily compared and can be of maximal use to municipalities, governments, scholars and NGOs. It also provides a long term basis for inexpensive surveys that can have a high claim to reliability and representativity. Key words: remote sensing, urbanism, survey methodology, National Science Foundation, health, environment, livelihood strategies, demographic, household labor, expenditures, income, Africa, Middle East, Morocco, Senegal, Mali, Niger, Tanzania, Botswana, Marrakech, Dakar, Bamako, Niamey, Dodoma, Gaborone.

This paper examines rural livelihood systems in Haiti from both a political and ecological perspective. While political developments in Haiti have taken center stage in most analyses, the environmental impacts of population growth, highly varied livelihood strategies, and migration opportunities appear to have played a major role in the current tragic situation. Illegal migration not only seems to alleviate short term poverty but also appears to benefit households long term as revenues from migration improve households' land holding situation. Nevertheless, the steadily declining ecological situation may already be exceeding the creative livelihood strategies of Haitian producers. Key words: Haiti, political economy, political ecology, livelihood strategies, households, livestock, agriculture, migration.