Dear all,
Only recently I started working with the Land Change Modeler of IDRISI, therefore my apologies if this question is trivial.
After successfully importing two land cover classifications made in ArcGIS 10.0, I conducted a change analysis. Now I would like to make transition potential maps for the largest transitions found. However, when I test the explanatory power of the individual explanatory variables (8 in total), the Cramer's V gives high values for all land cover classes except one (agriculture), which is always 0 and has a p-value of 1. However, when I visually analyze the transition maps, there should be a strong relation for this land cover class with at least topography and distance to roads. I have tried this both on individual transitions and on combined transition sub-models. The results stay the same.
I would really appreciate if someone could help me solve this issue. I am working with IDRISI Selva 17.0.
Have a pleasant day. Kind regards,
Romaike