In this research paper we give ways of graphing large space series, or time series, or space and time series. A pixel represents a region consisting of a number of points. The color of the pixel therefore is a function of all the values that there are within the region represented by the pixel. A lossy algorithm for image compression is also introduced here. A distance between the approximated image and the original image is introduced. This distance is inversely proportional to the number of data used, the geometric design of the data sampled from the original image, and the semivariogram. The distance decreases drastically as the sampling distance between consecutive points decreases from being equal to the zone of influence to being half of the zone of influence. As the sampling distance becomes smaller than half the zone of influence the distance decreases very slowly and converges to zero as the sampling distance converges to zero in which case we have sampled the whole space.