Hello, in statistics result is significant if its p-value < 0.05. However, I conduct some spatial analysis, namely Local Moran Staticstics (LISA), and I'm wondering about some p-value related issue. What I read is that 'significant Moran statistics' are those for which p-value is less than 0.05 and greater than 0.95 (chapter 4.5.2.1).
P-value < 0.05 means that some region (spatial object) is surrounded by high values (in neighbouring regions) whereas p-value > 0.95 means that some region is surrounded by low values. I don't understand why p-value > 0.95 is considered significant at all?
Hello, in statistics result is significant if its p-value < 0.05. However, I conduct some spatial analysis, namely Local Moran Staticstics (LISA), and I'm wondering about some p-value related issue. What I read is that 'significant Moran statistics' are those for which p-value is less than 0.05 and greater than 0.95 (chapter 4.5.2.1).
P-value < 0.05 means that some region (spatial object) is surrounded by high values (in neighbouring regions) whereas p-value > 0.95 means that some region is surrounded by low values. I don't understand why p-value > 0.95 is considered significant at all?