Can Ripley's K be used if events are not possible at every location in the study area?

Discussion created by on Dec 2, 2017
Latest reply on Dec 2, 2017 by Dan_Patterson

I have calculated Ripley’s K function for households and household-events for a district. I get unusual graphs with observed above expected at all distances - 2 almost straight lines. I would expect clustering of households at shorter distances (within communities) and dispersion at larger distances (between communities). I used the aggregate points feature to create the study area polygon. I wondered if my output is likely to be an artefact of households not being possible at all locations (such as forests and water bodies), while for “expected” the assumption is that households can fall anywhere? Appreciate the feedback.