Uses of Geographic Information Systems Tools in Survey Data Collection & Analysis
|Convenor||Dr Stephanie Eckman (IAB )|
|Coordinator 1||Mr Ned English (NORC)|
Using purposely collected data from methodological validation studies conducted in Ethiopia, Nigeria, and Tanzania, this paper analyses the use of farmer self-reported area estimation against the primary objective measurement alternatives: GPS and the traditional traversing (or “compass and rope”) method. Guided by analytical results, and with consideration for practical household survey implementation, the paper proposes a set of recommendations for plot area measurement with a focus on self-reported estimates, GPS measurement, compass and rope measurement, and the use of remote sensing imagery. Results largely point to the support of GPS measurement, with simultaneous collection of self-reported areas.
This paper shares the results of an NORC initiative designed to improve efficiency and efficacy of field activities through the creation of a structured repository for location specific challenges and a GIS enabled tool for searching, displaying, and annotating information stored in this database
GIS tools used in sampling and analysis were critical to the success of a study on aircraft noise annoyance. In the sampling stage, noise exposure contours for the areas around sampled airports were obtained and GIS software was used to convert them into zones covering 5 dB bands. The intersection of address location with a noise exposure zone provided the universe of addresses for our sampling frame. In the analysis stage, the latitude and longitude for each address was matched to Census block providing demographic data to analyze response propensity and the propensity to be highly annoyed by aircraft noise.
The use of directories as starting points for building a representative probabilistic sample has increasingly been challenged. The phone directory produces severe undercoverage errors, while in countries like Italy the electoral/population registers are not available in electronic format. The Italian Issp research team developed an innovative GIS-based sampling frame which, through a reverse geocoding function, sampled addresses, instead than individuals. The paper illustrates the steps through which the sample of the 2009 and 2010-2011 Issp surveys was built, and the procedures used to make the actual fieldwork mirror the designed sampling frame.
Collection of geo-data is the main objective of origin-destination surveys, such as measurement of metropolis passenger traffic. When the usage of gps-modules or other technical means is not suitable by survey design, CATI or f2f surveys are used for retrospective or prospective data gathering from the words of the respondent. Having incomplete or incorrect address information gathered multiplied by large sample size shows great demand for intelligent geocoding software. I’d like to share experience with passenger traffic measurement in Kiev and present design of derived software solution, which might facilitate recurring geocoding needs in same regions.