Ci a ra tee eer ee cake Beeb alee tees Pree ir iaaea aie ak). ae i a Lee eens Le merry siliataesl i aan] SRene re shelhe = veeirteren caer qereaes ree i CONFIDENTIAL Equation Al0 corresponds to the case in which the city and bomb patterns are completely out of phase (w = 90 deg); Eq. All to the case in which they are completely in phase (w = 0 deg). By letting \ and the different standard deviations assume various special values, e.g., 0 and ©, it is easy to see that Result 3 and Eqs. Al0 and All withstandinspection. When the center of the bomb pattern is not coincident with the center of the city the effect is to degrade Result 3 by a certain negative exponential: the exponent is a homo- geneous quadratic form in the coordinates of the aiming point with respect to the frame of reference determined by the city. Consequently the locus of points such that a bomb aimed at them underthese conditions gives rise to a fixed expected level of casualties — in brief, the equicasualty contours — is an ellipse. This too is an observation that agrees with experience, at any rate toward the center of a city. Away from the centerof the city the bomb begins to pick out casualties in neighboring cities; hence the contours for the lower casualty levels wander about, enclosing more than one center of population. PROCEDURE FOR OBTAINING BINORMAL FIT TO CITY A hypothetical population breakdown of a city into squares 2 by 2 miles each is shown in Fig. A2 (0 to 9 columns and rows). Any standard work on statistics may be consulted on the question of computing the means, variances, and covariance. The interest in such x —> y | Of 1 2/ 3/ 0; 1] 1 o] a} 1 2 1 3] a! 2 1 5 15] 30) 3 3 4 24 43} 4 0 6 7) 35] 5 3 13 2 sal 6| 5| 1g 27 or] 71 1 14 221 a9} Bf o| 6 1 a] of 2 1 3i] 6 a 18 69 152] 277 B 83 975 772] 1251] c 101 444 924 1522 4/ 51 6/ 7! Bj 9}; 2| oa] 2/ 3] 6! 1 12] wl] of 5s 2] 1] 2 2a] wi} {41391 6 0 60 4 wif 20} 3 2 45} 72; ost 2] W 3 121) Bo} 6 33] i) 5 31] 64] 3] 2] tw] 9| 7 27; 15{ 10] oa 6 5| 13| 9! 6 8 1] 4a} 1]| off 2] 5s 3 306 333 215 ws] g9 31 1299 1557] 9997] 652! 442) 175 1605 1890 1216 797 531 206 a} b e 17} 102 119 47 198 245 [139 597 736 229 1004 1233 269| 1309 1578 412 1891 2303 283 1240 1523 132 580 712 74 323 397 27 127 154 1629 7371 39389 7605 34322 40847| 57686 55760 2 TTOTerterereer [AMT2 ome Coes me Fig. A2 —- Hypothetical Distribution of Urban Population SATA ; ! Thousands of persons per 4 sq miles. works, however, usually extends to further quantities that are of no concern here, and the effect may be somewhat confusing. Consequently the method developed and employed for this study is given here in full, and the results are shown in the A, B, C columns and a, b, c rows of Fig. A2. One of the advantages of the method is that there is a check on every computation immediately after it is made. The following instructions were given with no further comment to computers without previous experience in this work; the results were quite satisfactory. 1 ae a Me eu f 4 1 76 ORO—R—-17 (App B)