sometimes while i’m working on my thesis, read the articles, i found a nice idea about something. today, i got an idea about ,again, how to use kriging in spatial planning.
i was reading articles from, I forgot, he write something about gis and multicriteria decision makin in vector based mode in one of the area in sao paulo brazil. it just came across into my mind that actually what he did was still taking too much time. He collected about 13 criteria to asses which municipal districts have the best quality in supporting its citizen life. But to take these 13 criteria, he has to do it manually by doing survey to random houses in one district.
so my idea is, how about if we only take smaller number of sample,,and then interpolate it,,each criterion we interpolate,, using kriging. and afterwards, we aggregate them again with their formula *overlay AND OR with some weight*
i dont think this method was used elsewhere in spatial planning. I got curiosity about this, and i try to find it in web of science,,taadraaa,,, i didnt get any articles discuss about the kriging methods for interpolating social characteristics. they mainly used for *how they call it* nature phenomena such as in soil survey, forest, plant density, and recently population density.
i dont know exactly what is/are the burden of not using kriging. Or only me? yeah,,sure,i really want to know it more.
