Using ArcMap, I have a dataset containing points with coordinates and value (cost of infrastructure). There is no even distribution, the points are mostly clustered around larger cities but with some outliers and clusters at great distances from the rest of the data.

What I want to achieve is to color the map to visualize spatial variance of infrastructure cost over the entire country. I want this to be accurate at the same time, for example to avoid statistical artifacts, the distances between points should have some baseline color and only indicate a higher value when fairly close to the points.

Is IDW / Kriging a good way to handle this, and which should I use if so?

What I have done is try both, but the result is entirely off with the cluster with the most points appearing smaller than minor cities. Meanwhile the great distances on the country side fluctuate a lot with no apparent correlation to the actual data.


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