GIS without GPS: new opportunities in technology and survey research to link people and place

This paper presents innovative ways to relate survey data to GIS maps, thereby making the connection of people and place more accessible for the research community. Based on data from rural areas in the Brazilian Amazon, we describe a successful effort to sample households while linking farm-level data to property boundaries, these boundaries generated from subjects' interpretations of satellite images on a computer screen. The sampling framework is based on legislation requiring farmers to report to a government agency in a four-week period, and the farmers' input allows for a more efficient means of identifying property boundaries as compared to GPS. We show that the resulting sampling is statistically representative. We discuss the potential of this association of institutional design and low-cost methods of data collection to allow for more cost-effective generation of spatial data and of geospatial analysis.