GEOG 371 Lecture 3: Week 3

• School: University of Illinois
• Department: Geography
• Course: GEOG 371
• Professor: S Mc Lafferty

Document Summary

X ns: s = sample standard deviation. If skew value is: > 0 : positive skew, = 0 : no skew, < 0 : negative skew, pearson"s coefficient of skewness. Med s: same interpretation as regular skewness. Point data (distance concepts: euclidean distance, distance from i to j = dij, geographic coordinates of point i = (xi, yi, geographic coordinates of point j = (xj, yj) d ij. X d i j ij i j: minkowski distance d ij. 1 k j: spatial measures of central tendency for point data, mean center (spatial mean, minimizes sum of squared euclidean distances to all points, unweighted (xm, ym) i. Weighted mean center (xwm, ywm: wi = weight for point i can assign weight to each point (like a population weight, ex point = fedex packages, weight = # of packages, property of mean center. Implies mean center is going to be pulled towards outliers.