Dear list,

I would like to get your advice on a technical question whether I should
treat a dataset as a space-time [marked] point process. With this modeling
approach, I aim to explore some interesting patterns on technological
adoption [improved seeds] and diffusion of technology among farmers. My
original dataset comes from sampling 600 farmers with GPS locations,
information on sources of seed acquisition [friend, farmer group, etc] and
year's first planted a specific improved variety [and much more]. This
dataset is based on a two-stage cluster sample design in which geographic
areas were systematically selected using probability proportional to size
sampling in the first stage and simple random sampling of households within
geographic areas at the second stage. Your inputs would be highly
appreciated.


Jose Funes

Research analyst

HarvestPlus

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