I have layer of point data of aid projects in Tanzania between 2000 and 2012, and a layer of point data for 42 villages where a survey was conducted in 2003, 2006,2009, and 2013. Within the survey point data my attribute table contains the percentage responses to a number of binary questions for respondents in each village. (There were 30 respondents from each village, so for example each village attribute table contains the % of people in x village who think corruption is a serious problem)
I want to see if the responses (dependent variable) are influenced by the proximity of villages to aid projects/the distance from aid projects (making proximity/distance my explanatory variable).
Should I perform OLS and then GWS? If so, how can I include distance as my explanatory variable? My data is currently geolocated in WGS_1984 datum, so should I change it to a projection?