Latest Contributions by juliaDa

HI all, Thank you for all your great suggestion. I am working on elevation, soil texture and forest type as covariates, but couldn't figure out how to incorporate nominal data. I worked with other ratio covariates: population, ndvi but did not get any good result. As Dan suggested I did some analysis in SPSS but there is no significant relation with any of these independent variables and the correlation is  ow <5. I am not good in statistics, I only know basics but the descriptive result shows that standard deviation of the forest carbon stock is very high compared to mean, does that effect the result?  ... View more

Hi Steve, Thank you! I have tried with different subset size and factor but the result is not good. I have attached the measured and predicted value plot. ... View more

Steve, below is the detail. I played around with different model but this is the only model, where root mean square and average standardized error are equal however the predicted plot is not 1:1. ... View more

Steve, I am using 10 but recently also trying EBK in 10.1. I have attached the screenshot of the semivariogram from EBK after transformation. ... View more

Thank you very much Dan! I will explore other options including partitioning, hope that will get better result. Again thanks! ... View more

Yes i have thought of partitioning but in certain region there are  not enough sample points. I am trying to look at the spatial distribution of forest carbon in whole watershed, so I thought of using kriging in whole area, and also based on some literature review. I couldn't think of any other method, any suggestion! ... View more

Dan thank you for the reply Yes the sample points are numbers, the study area is watershed of about 8000 ha, and with wide elevation range from low mid 200 to high 1900 m.  The main landuse in this area are forest and agriculture, there are some agricultural patches in between the forest area where there is no sample points. ... View more